About

Ping Wang, PhD, DABCC, FAACC, is a Professor of Pathology and Laboratory Medicine at the Hospital of the University of Pennsylvania. She serves as the Chief of the Clinical Chemistry Section and the Director of the Core Laboratory at the Hospital of the University of Pennsylvania. Additionally, she is the Director of the William Pepper Laboratory and the George Woodward Fellowship Program in Physiological Chemistry at the University of Pennsylvania. Her clinical expertise focuses on in vitro diagnostics, including Clinical Chemistry, Automation, Point-of-care Testing, Toxicology, Clinical Mass Spectrometry, and Molecular Diagnostics. Dr. Wang is a member of the FDA Medical Devices Advisory Committee and works with industry partners to translate diagnostic tools into clinical applications through pre-submission studies and clinical trials. Her research emphasizes translational efforts to develop, validate, and translate innovative diagnostics technologies aimed at broad and equitable access, with the ultimate goal of benefiting patients and improving health outcomes. Her work addresses unmet clinical needs by partnering with clinicians, engineers, and other stakeholders to create novel diagnostic solutions that are tested and validated in real-world settings.

Research topics

• Biology
• Genetics
• Cell biology
• Chemistry
• Molecular biology

Selected publications

• Interfacial bond enhancement between ECC overlay and concrete substrate: mechanism and strength model

  Journal of Sustainable Cement-Based Materials · 2026-01-12

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• Research on control scheme of dual three-phase permanent magnet synchronous motor driven by nine-switch converter

  Electrical Engineering · 2026-03-17

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• Mechanisms of film re-entrainment and droplet capture in corrugated plate separators: a multiphase flow perspective

  Separation and Purification Technology · 2026-01-23

  article1st authorCorresponding
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• Pan‐Cancer Analysis and Functional Characterization Identify SLC15A4 as a Novel Prognostic Biomarker and Therapeutic Target

  Asia-Pacific Journal of Clinical Oncology · 2026-04-06

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  SLC15A4 is a transporter protein known to be involved in immune regulation, but its role in cancer is not well understood. This study aimed to thoroughly investigate SLC15A4 across different cancers, focusing on its expression levels, link to patient survival, genetic changes, biological functions, and connection to the immune environment and treatment response. We combined large-scale data analysis from public databases with lab experiments in breast cancer (BRCA) cells. Our results showed that SLC15A4 is often present at high levels in tumors, and this high level was strongly linked to poorer patient survival. It was also connected to the presence of immune cells and how sensitive tumors were to certain drugs, suggesting it could serve both as a survival predictor and a player in the immune environment. Our in vitro experiments demonstrate distinct SLC15A4 expression levels in different BRCA cell lines, and computer-based screening pinpointed potential drugs that could block it. In conclusion, SLC15A4 is an important indicator of patient outcomes and a promising target for new treatments, especially in BRCA and lower-grade glioma (LGG).

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• Performance prediction of CFST square columns strengthened with square steel tube and sandwiched concrete jackets driven by denoising diffusion probabilistic model

  Structures · 2026-01-21

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• A Sequential Response Model With Growth Parameters for Process Data in Complex Problem Solving

  Journal of Educational and Behavioral Statistics · 2026-01-02

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  Interactive problem-solving assessments allow examinees to learn from trial-and-error, potentially changing their response patterns when revisiting problem states due to learning or fatigue effects. This study introduces the Sequential Response Model With Growth parameters, which captures how examinees’ cognitive processes evolve through accumulated experience during task interaction via growth parameters. An empirical application to Complex problem-solving assessment reveals significant positive effects in intermediate states (mastering task mechanisms) and negative effects at the initial state (accumulated frustration). Simulation results confirmed robust parameter recovery when growth effects were present, while maintaining comparable performance when such effects were absent. These findings suggest that incorporating operational history enhances our understanding of dynamic problem-solving processes and provides insights for assessment design and educational practice.

  PublisherDOI

• Quantitative evaluation of soil anti-erodibility in the fluctuation zones of rooted soil in a large reservoir, southwest of China

  PLoS ONE · 2026-03-10

  articleOpen access1st authorCorresponding

  The quantitative analysis of key factors influencing the erosion resistance characteristics of colluvial zone soil is a prerequisite for accurately assessing the erosion resistance ability of the soil. Therefore, this study focuses on the reservoir erosion zone of the Guanyinyan Reservoir area in the Jinsha River Basin, which is a large hydropower station. The physicochemical characteristics of the colluvial zone soil (bulk density, moisture content, total porosity, soil texture, pH, organic matter content, and aggregate stability) as well as erosion resistance capabilities (soil erodibility factor K and shear strength) with variations in water level elevation (low, middle, and high elevations) were analyzed. This study quantitatively evaluated the relative importance of soil physicochemical characteristics to soil erosion resistance, identified key influencing factors, and subsequently constructed a comprehensive evaluation model for soil erosion resistance. The research results indicate that: 1) Redundancy analysis (RDA) and correlation analysis reveal that the soil erodibility factor K is significantly negatively correlated (P < 0.01) with total porosity, sand content, organic matter, mean weight diameter (MWD), geometric mean diameter (GMD), water-stable aggregates larger than 0.25 mm (WSA0.25), and dry-sieved aggregates larger than 0.25 mm (DSA0.25). It is also significantly positively correlated (P < 0.01) with percentage of aggregate destruction for aggregates larger than 0.25 mm (PAD), the silt content, and the clay content. However, it was not significantly correlated with the bulk density, moisture content, or pH. The soil shear strength is significantly negatively correlated (P < 0.05) with the moisture content, clay content, and soil erodibility factor K. The shear soil strength is significantly positively correlated (P < 0.05) with the MWD and DSA0.25. 2) Fourteen erosion resistance indicators of the colluvial zone soil in the Guanyinyan Reservoir area were selected, and a comprehensive evaluation model for soil erosion resistance was established on the basis of Principal Component Analysis (PCA). 3) The Comprehensive Soil Erosion Index (CSEI) in the Jinping Gaunyinyan Reservoir erosion zone varies between 0.082 and 0.942 with changes in water level elevation. For different elevations, the comprehensive soil erosion indices are as follows: high (root zone soil) <middle (root zone soil) <high (un-rooted zone soil) <middle (un-rooted zone soil) <low (root zone soil) <low (un-rooted zone soil). At the same water level elevation, with decreasing flooding time, the CSEI of the un-rooted zone soil in the erosion zone increased by 41.03%, 96.91%, and 353.13% compared with that of the root zone soil. In the reservoir erosion zone of the Guanyinyan Reservoir area, the overall Comprehensive Soil Erosion Index (CSEI) decreases with increasing water level elevation. At the same elevation, the CSEI of the un-rooted zone soil is significantly greater than that of the root zone soil, and this difference further increases with decreasing flooding time.

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• The TEX15 DUF3715 domain is required for retrotransposon silencing and male fertility

  Biology of Reproduction · 2025-06-28

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• Uncertainty Risks Virtual Simulation and Predictive Warning Method for Hydro-Wind-Solar Intraday Scheduling

  2025-06-06

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• Prognostic value of alpha-fetoprotein and des-gamma-carboxyprothrombin in hepatocellular carcinoma treated with transarterial chemoembolization

  Journal of Cancer Research and Therapeutics · 2025-12-01

  articleOpen access

  OBJECTIVE: This study aimed to explore the efficacy and prognostic value of alpha-fetoprotein (AFP) and des-gamma-carboxyprothrombin (DCP) in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) treatment. SUBJECTS AND METHODS: Relationships between the baseline levels of AFP and DCP and the clinical characteristics of 314 patients with HCC who underwent TACE were retrospectively analyzed. Kaplan-Meier curves and Cox regression models were used to analyze the survival data. RESULTS: Before TACE, the patient distribution was as follows: 180 were positive for both AFP and DCP, 37 were negative for both, 24 were positive for AFP only, and 73 were positive for DCP only. Of the 131 patients included in the follow-up study after TACE treatment, 47 (35.88%) belonged to the AFP and DCP double-response group, 38 (29.01%) to the single-response group, and 46 (35.11%) to the no-response group. The overall objective response rate was significantly higher in the double- and single-response groups than in the no-response group (P < 0.001). The overall survival (OS) and progression-free survival (PFS) rates in the double-response group were significantly longer than those in the other two groups (P < 0.001). The response types of AFP and DCP were independent risk factors for PFS (P = 0.003) and OS (P = 0.007). CONCLUSION: The combination of AFP and DCP provides a valuable serum biomarker for assessing the efficacy of TACE in patients with HCC. The goal for TACE treatment in dual-positive patients is to achieve a dual response for AFP and DCP.

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Recent grants

• NIH Grant U01HD045866

  NIH · $1.4M · 2008

• Targeting the piRNA pathway and meiotic recombination for male contraception

  NIH · $840k · 2015–2020

• Genetic Control of Retrotransposon Mobilization in the Mouse Germline

  NIH · $3.1M · 2012–2024

• Targeting the piRNA pathway and meiotic recombination for male contraception

  NIH · $557k · 2015–2020

• NIH Grant R01GM089893

  NIH · $1.8M · 2018

Frequent coauthors

• N. Adrian Leu

  University of Pennsylvania

  44 shared

• Yongjuan Guan

  University of Pennsylvania

  32 shared

• Jessica Y. Chotiner

  University of Pennsylvania

  21 shared

• Isabella G. Cossu

  University of Pennsylvania

  21 shared

• Huijuan Lin

  University of Pennsylvania

  20 shared

• Yang Fang

  Anhui Medical University

  20 shared

• David C. Page

  Massachusetts Institute of Technology

  13 shared

• Mengcheng Luo

  Wuhan University

  13 shared

Labs

• Wang LabPI

Education

• PhD, Molecular Biology and Genetics

  Cornell University

  1997

• Master, Biochemistry

  Peking University Health Science Center

  1993

• MD

  Peking University Health Science Center

  1990

Awards & honors

• George Woodward Fellowship Program in Physiological Chemistr…