Pingzhang Wang

2.0k total citations
83 papers, 1.2k citations indexed

About

Pingzhang Wang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Pingzhang Wang has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 43 papers in Immunology and 20 papers in Oncology. Recurrent topics in Pingzhang Wang's work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (9 papers). Pingzhang Wang is often cited by papers focused on Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (9 papers). Pingzhang Wang collaborates with scholars based in China, United States and Macao. Pingzhang Wang's co-authors include Wenling Han, Dalong Ma, Xiaoning Mo, Taiping Shi, Ting Li, Hyun-Ju Oh, Matthew S. Hayden, Sankar Ghosh, Raúl Rabadán and Yenkel Grinberg‐Bleyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Pingzhang Wang

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingzhang Wang China 21 603 520 291 235 100 83 1.2k
Rong Xiang China 21 542 0.9× 589 1.1× 336 1.2× 143 0.6× 80 0.8× 32 1.3k
Chun Chou United States 17 485 0.8× 819 1.6× 391 1.3× 211 0.9× 74 0.7× 22 1.4k
Callie A.S. Corsa United States 11 790 1.3× 308 0.6× 393 1.4× 204 0.9× 81 0.8× 12 1.4k
Sridevi Gottipati United States 7 900 1.5× 534 1.0× 307 1.1× 289 1.2× 56 0.6× 7 1.5k
Inmoo Rhee South Korea 16 577 1.0× 735 1.4× 285 1.0× 121 0.5× 57 0.6× 30 1.2k
Carmen Marchiol France 19 486 0.8× 708 1.4× 230 0.8× 151 0.6× 75 0.8× 42 1.4k
Tomohisa Baba Japan 26 597 1.0× 865 1.7× 756 2.6× 180 0.8× 111 1.1× 54 1.8k
Majid Shahbazi Iran 13 463 0.8× 227 0.4× 271 0.9× 161 0.7× 135 1.4× 72 1.1k
Yaniv Zohar Israel 20 346 0.6× 518 1.0× 472 1.6× 102 0.4× 176 1.8× 62 1.3k

Countries citing papers authored by Pingzhang Wang

Since Specialization
Citations

This map shows the geographic impact of Pingzhang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pingzhang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingzhang Wang more than expected).

Fields of papers citing papers by Pingzhang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingzhang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pingzhang Wang. The network helps show where Pingzhang Wang may publish in the future.

Co-authorship network of co-authors of Pingzhang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pingzhang Wang. A scholar is included among the top collaborators of Pingzhang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingzhang Wang. Pingzhang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Liu, Qiyao, Fujun Liu, Pingzhang Wang, et al.. (2025). CMTM3 Promotes Colitis-associated Carcinogenesis via CLTC Stabilization and Modulation of VE-cadherin. Cellular and Molecular Gastroenterology and Hepatology. 19(8). 101528–101528.
3.
Zhang, Xin, Yujia Wang, Ke Wang, et al.. (2025). Epigenetic Regulation of CD8 + Effector T Cell Differentiation by PDCD5. European Journal of Immunology. 55(3). e202451388–e202451388.
4.
Li, Yue, et al.. (2025). DUSP9 is Up-Regulated and Promotes Tumor Progression in Head and Neck Squamous Cell Carcinoma. Journal of Cancer. 16(11). 3403–3414.
5.
Zhang, Hanxiao, et al.. (2025). CMTM7 inhibits TLR4 signaling pathway via promoting Rab5 activation and alleviates acute liver injury. Cellular and Molecular Life Sciences. 82(1). 229–229. 1 indexed citations
6.
7.
Pei, Xiaolei, Li Liu, Jieru Wang, et al.. (2024). Exosomal secreted SCIMP regulates communication between macrophages and neutrophils in pneumonia. Nature Communications. 15(1). 691–691. 13 indexed citations
8.
Postler, Thomas S., Anqi Wang, Francesco Brundu, et al.. (2023). A pan-cancer analysis implicates human NKIRAS1 as a tumor-suppressor gene. Proceedings of the National Academy of Sciences. 120(46). e2312595120–e2312595120. 3 indexed citations
9.
Zhu, Zhu, Pingzhang Wang, Xiaodong Jia, et al.. (2023). B-Cell Receptor Features and Database Establishment in Recovered COVID-19 Patients by Combining 5'-RACE with PacBio Sequencing. Frontiers in Bioscience-Landmark. 28(2). 40–40. 1 indexed citations
10.
Wang, Yifan, Fu‐Gang Duan, Zhu Zhu, et al.. (2021). Analysis of TCR Repertoire by High-Throughput Sequencing Indicates the Feature of T Cell Immune Response after SARS-CoV-2 Infection. Cells. 11(1). 68–68. 8 indexed citations
11.
Oh, Hyun-Ju, Yenkel Grinberg‐Bleyer, Thomas S. Postler, et al.. (2021). PDK1 Is Required for Maintenance of CD4+ Foxp3+ Regulatory T Cell Function. The Journal of Immunology. 206(8). 1776–1783. 8 indexed citations
12.
Xue, Hui, Ting Li, Pingzhang Wang, et al.. (2019). CMTM4 inhibits cell proliferation and migration via AKT, ERK1/2, and STAT3 pathway in colorectal cancer. Acta Biochimica et Biophysica Sinica. 51(9). 915–924. 22 indexed citations
13.
Shi, Zhan, Qingyang Zhang, Ying Yang, et al.. (2019). More than one antibody of individual B cells revealed by single-cell immune profiling. Cell Discovery. 5(1). 64–64. 43 indexed citations
14.
Oh, Hyun-Ju, Yenkel Grinberg‐Bleyer, Will Liao, et al.. (2017). An NF-κB Transcription-Factor-Dependent Lineage-Specific Transcriptional Program Promotes Regulatory T Cell Identity and Function. Immunity. 47(3). 450–465.e5. 166 indexed citations
15.
Li, Qi, Zhuang Ma, Yinhua Liu, et al.. (2016). Low doses of paclitaxel enhance liver metastasis of breast cancer cells in the mouse model. FEBS Journal. 283(15). 2836–2852. 43 indexed citations
16.
Fu, Weiwei, Yingying Cheng, Yanfei Zhang, et al.. (2015). The Secreted Form of Transmembrane Protein 98 Promotes the Differentiation of T Helper 1 Cells. Journal of Interferon & Cytokine Research. 35(9). 720–733. 18 indexed citations
17.
Li, Ting, Yingying Cheng, Pingzhang Wang, et al.. (2015). CMTM4 is frequently downregulated and functions as a tumour suppressor in clear cell renal cell carcinoma. Journal of Experimental & Clinical Cancer Research. 34(1). 122–122. 50 indexed citations
18.
Wang, Pingzhang, Yehong Yang, Wenling Han, & Dalong Ma. (2015). ImmuSort, a database on gene plasticity and electronic sorting for immune cells. Scientific Reports. 5(1). 10370–10370. 27 indexed citations
19.
Ma, Liwei, Wenting Zhao, Feng Zhu, et al.. (2015). Global Characteristics of CSIG-Associated Gene Expression Changes in Human HEK293 Cells and the Implications for CSIG Regulating Cell Proliferation and Senescence. Frontiers in Endocrinology. 6. 69–69. 6 indexed citations
20.
Wang, Pingzhang, Peng Yu, Peng Gao, Taiping Shi, & Dalong Ma. (2009). Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site. BMC Genomics. 10(1). 518–518. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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