Peter Wang

2.1k total citations
30 papers, 408 citations indexed

About

Peter Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Peter Wang has authored 30 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Peter Wang's work include Ubiquitin and proteasome pathways (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (4 papers). Peter Wang is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (4 papers). Peter Wang collaborates with scholars based in China, United States and Australia. Peter Wang's co-authors include Wenjun Liu, Guanning Shang, Yuyun Li, Wenyi Wei, Wenxiao Jiang, Xiaoming Dai, Ting Chen, Qiuli Chen, Jinxin Liu and Yong Yuan and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Frontiers in Immunology.

In The Last Decade

Peter Wang

28 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Wang China 12 314 119 100 48 42 30 408
Yukie Kashima Japan 12 333 1.1× 121 1.0× 117 1.2× 84 1.8× 61 1.5× 27 473
Vigdis Nygaard Norway 11 342 1.1× 98 0.8× 101 1.0× 70 1.5× 41 1.0× 19 508
Dana Bielopolski Israel 5 533 1.7× 222 1.9× 93 0.9× 40 0.8× 45 1.1× 19 660
Tim Schelfhorst Netherlands 12 314 1.0× 79 0.7× 130 1.3× 27 0.6× 19 0.5× 16 414
Yueh‐Te Lin Taiwan 7 326 1.0× 82 0.7× 110 1.1× 62 1.3× 44 1.0× 10 459
Naishitha Anaparthy United States 5 168 0.5× 138 1.2× 83 0.8× 77 1.6× 24 0.6× 6 321
Pegah Johansson Sweden 12 213 0.7× 118 1.0× 54 0.5× 47 1.0× 19 0.5× 26 342
Yanning Gao China 12 215 0.7× 146 1.2× 83 0.8× 38 0.8× 53 1.3× 37 389
Susann Herzog Germany 8 192 0.6× 56 0.5× 60 0.6× 39 0.8× 65 1.5× 10 299
Atanu Chakraborty India 10 378 1.2× 119 1.0× 83 0.8× 71 1.5× 44 1.0× 23 475

Countries citing papers authored by Peter Wang

Since Specialization
Citations

This map shows the geographic impact of Peter 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 Peter Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Wang more than expected).

Fields of papers citing papers by Peter Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter 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 Peter Wang. The network helps show where Peter Wang may publish in the future.

Co-authorship network of co-authors of Peter Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Wang. A scholar is included among the top collaborators of Peter 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 Peter Wang. Peter 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.
Li, Guoliang, et al.. (2025). Revealing Potential Therapeutic Targets in Gastric Cancer through Inflammation and Protein-Protein Interaction Hub Networks. Journal of Cancer. 16(8). 2720–2736. 1 indexed citations
2.
Wang, Qingqing, et al.. (2025). FBXO2 promotes hepatocellular carcinoma progression and sorafenib resistance by targeting USP49 for proteasomal degradation. Frontiers in Immunology. 16. 1660034–1660034.
3.
Wang, Peter, Lars S. Maier, Niels Voigt, et al.. (2024). Cellular calcium handling and electrophysiology are modulated by chronic physiological pacing in human induced pluripotent stem cell-derived cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 327(5). H1244–H1254.
4.
Zhou, Xinyu, et al.. (2024). Decoding the Role of O-GlcNAcylation in Hepatocellular Carcinoma. Biomolecules. 14(8). 908–908. 6 indexed citations
5.
Chen, Jiayi, et al.. (2023). Elucidating the role of ubiquitination and deubiquitination in osteoarthritis progression. Frontiers in Immunology. 14. 1217466–1217466. 12 indexed citations
6.
Liu, Qishun, Jian-dong Zhang, Jinjie Wang, et al.. (2023). The emerging role of lncRNAs in osteoarthritis development and potential therapy. Frontiers in Genetics. 14. 7 indexed citations
7.
Wu, Yan‐Ling, et al.. (2023). The role of pyroptosis-related lncRNA risk signature in ovarian cancer prognosis and immune system. Discover Oncology. 14(1). 149–149. 3 indexed citations
8.
Hou, Bo, Ting Chen, He Zhang, et al.. (2023). The E3 ubiquitin ligases regulate PD-1/PD-L1 protein levels in tumor microenvironment to improve immunotherapy. Frontiers in Immunology. 14. 1123244–1123244. 30 indexed citations
9.
Long, Georgina V., F. Stephen Hodi, Dirk Schadendorf, et al.. (2023). 1103P Nivolumab (NIVO) plus relatlimab (RELA) vs NIVO in previously untreated metastatic or unresectable melanoma: 2-year subgroup analyses from RELATIVITY-047. Annals of Oncology. 34. S664–S665. 4 indexed citations
10.
Xu, Jun, et al.. (2023). Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer. Scientific Reports. 13(1). 15006–15006. 2 indexed citations
11.
Liu, Jinxin, et al.. (2022). Targeting matrix metalloproteinases by E3 ubiquitin ligases as a way to regulate the tumor microenvironment for cancer therapy. Seminars in Cancer Biology. 86(Pt 2). 259–268. 45 indexed citations
12.
Zhang, Zhiyang, et al.. (2022). Diverse Roles of F-BoxProtein3 in Regulation of Various Cellular Functions. Frontiers in Cell and Developmental Biology. 9. 802204–802204. 8 indexed citations
13.
Liu, Jinxin, et al.. (2022). The role of protein arginine N-methyltransferases in inflammation. Seminars in Cell and Developmental Biology. 154(Pt C). 208–214. 14 indexed citations
14.
Xu, Zhiyuan, et al.. (2022). Expression profiles of m6A RNA methylation regulators, PD-L1 and immune infiltrates in gastric cancer. Frontiers in Oncology. 12. 970367–970367. 21 indexed citations
15.
Wang, Weijia, et al.. (2022). Targeting CSC-related transcription factors by E3 ubiquitin ligases for cancer therapy. Seminars in Cancer Biology. 87. 84–97. 33 indexed citations
16.
Chen, Qiuli, Jiawei Zhang, Peter Wang, & Zuyong Zhang. (2022). The mechanisms of immune response and evasion by the main SARS-CoV-2 variants. iScience. 25(10). 105044–105044. 14 indexed citations
17.
Wang, Xiaoguang, Fei Chen, Qiuli Chen, et al.. (2022). LncRNA MALAT1 regulates METTL3-mediated PD-L1 expression and immune infiltrates in pancreatic cancer. Frontiers in Oncology. 12. 1004212–1004212. 38 indexed citations
18.
Xu, Hui, Wenjing Zhou, Fan Zhang, et al.. (2021). PDS5B inhibits cell proliferation, migration, and invasion via upregulation of LATS1 in lung cancer cells. Cell Death Discovery. 7(1). 168–168. 4 indexed citations
19.
Wang, Peter, Xiaoming Dai, Wenxiao Jiang, Yuyun Li, & Wenyi Wei. (2020). RBR E3 ubiquitin ligases in tumorigenesis. Seminars in Cancer Biology. 67(Pt 2). 131–144. 71 indexed citations
20.
Chandrasekar, Indra, Zoe M. Goeckeler, Stephen G. Turney, et al.. (2014). Nonmuscle Myosin II Is a Critical Regulator of Clathrin‐Mediated Endocytosis. Traffic. 15(4). 418–432. 44 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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