Wenyi Wang

33.6k total citations · 2 hit papers
146 papers, 5.0k citations indexed

About

Wenyi Wang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Wenyi Wang has authored 146 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 33 papers in Oncology and 32 papers in Cancer Research. Recurrent topics in Wenyi Wang's work include Cancer Genomics and Diagnostics (18 papers), Head and Neck Cancer Studies (12 papers) and Cancer-related molecular mechanisms research (12 papers). Wenyi Wang is often cited by papers focused on Cancer Genomics and Diagnostics (18 papers), Head and Neck Cancer Studies (12 papers) and Cancer-related molecular mechanisms research (12 papers). Wenyi Wang collaborates with scholars based in United States, China and Taiwan. Wenyi Wang's co-authors include Jin‐Ching Lin, Jian‐Sheng Jan, Rong‐San Jiang, Wen‐Miin Liang, Kuang Yu Chen, Yau‐Huei Wei, Chen‐Yi Hsu, Clarence S.M. Chan, Liton Francisco and Giovanni Parmigiani and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Wenyi Wang

133 papers receiving 5.0k citations

Hit Papers

Quantification of Plasma Epstein–Barr Virus DNA in Patien... 2003 2026 2010 2018 2004 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyi Wang United States 34 1.8k 1.7k 1.2k 1.1k 1.0k 146 5.0k
Sufi M. Thomas United States 43 2.7k 1.5× 2.2k 1.3× 508 0.4× 852 0.8× 435 0.4× 106 5.2k
Satoshi Fujii Japan 44 2.3k 1.3× 2.4k 1.4× 326 0.3× 1.4k 1.3× 1.2k 1.2× 271 6.7k
Muh‐Hwa Yang Taiwan 48 4.0k 2.2× 2.9k 1.7× 329 0.3× 2.2k 2.0× 852 0.8× 164 7.6k
Qin Li China 31 1.1k 0.6× 1.3k 0.8× 405 0.3× 553 0.5× 495 0.5× 154 3.9k
Katsuhiro Uzawa Japan 41 3.6k 2.0× 1.4k 0.8× 216 0.2× 1.3k 1.2× 425 0.4× 212 5.3k
Mohammad Obaidul Hoque United States 52 5.9k 3.2× 1.8k 1.0× 177 0.2× 2.0k 1.8× 1.3k 1.3× 133 8.3k
Noboru Konishi Japan 45 3.0k 1.7× 1.4k 0.8× 111 0.1× 1.2k 1.1× 883 0.9× 239 6.3k
Edgar Selzer Austria 35 1.7k 1.0× 951 0.6× 414 0.4× 525 0.5× 400 0.4× 106 3.7k
Zhen‐Yu He China 28 874 0.5× 1.2k 0.7× 182 0.2× 1.0k 1.0× 763 0.8× 180 3.3k
Eddy S. Yang United States 37 2.2k 1.2× 1.7k 1.0× 122 0.1× 624 0.6× 247 0.2× 167 4.4k

Countries citing papers authored by Wenyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyi Wang. A scholar is included among the top collaborators of Wenyi 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 Wenyi Wang. Wenyi 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
2.
Guo, Shuai, et al.. (2025). A guide to transcriptomic deconvolution in cancer. Nature reviews. Cancer. 26(2). 84–103.
3.
Zhang, Yang, et al.. (2024). Research trends of bone tumor treatment with 3D printing technology from 2013 to 2022: a bibliometric analysis. Discover Oncology. 15(1). 359–359. 2 indexed citations
4.
Gutierrez‐Barrera, Angelica M., et al.. (2024). Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data. Journal of Clinical Oncology. 42(18). 2186–2195. 1 indexed citations
5.
Bahrambeigi, Vahid, Jaewon J. Lee, Vittorio Branchi, et al.. (2024). Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-Specific Transcriptome and Molecular Subtype. Cancer Research. 84(10). 1719–1732. 6 indexed citations
6.
Liu, Xiaoqian, Xuesen Cheng, Yujie Jiang, et al.. (2024). A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples. Genome Research. 35(1). 147–161. 1 indexed citations
8.
Wang, Wenyi, Xiaoxu Liu, Jun Dang, & Guang Li. (2023). Survival and prognostic factors in patients with synchronous multiple primary esophageal squamous cell carcinoma receiving definitive radiotherapy: A propensity score-matched analysis. Frontiers in Oncology. 13. 1132423–1132423. 1 indexed citations
9.
Chachad, Dhruv, Lalit R. Patel, Rasoul Pourebrahim, et al.. (2023). Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven by Different p53 Mutants. Cancer Research. 83(14). 2297–2311. 6 indexed citations
10.
Čermáková, Kateřina, Ling Tao, Milan Dejmek, et al.. (2023). Reactivation of the G1 enhancer landscape underlies core circuitry addiction to SWI/SNF. Nucleic Acids Research. 52(1). 4–21. 5 indexed citations
11.
Huang, Yu, et al.. (2023). Brittleness Estimation from Late Permian Mud Shale Well-Log Data at Songliao Basin Applying Rock Physical Simulation. Pure and Applied Geophysics. 180(11). 3919–3945. 1 indexed citations
12.
Shi, Yewen, Xiaoyong Ren, Shaolong Cao, et al.. (2023). TP53 gain-of-function mutation modulates the immunosuppressive microenvironment in non-HPV-associated oral squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 11(8). e006666–e006666. 16 indexed citations
13.
Wang, Jennifer, Xu Li, Maitrayee Goswami, et al.. (2022). Impact of Somatic Mutations on Survival Outcomes in Patients With Anaplastic Thyroid Carcinoma. JCO Precision Oncology. 6(6). e2100504–e2100504. 45 indexed citations
14.
Loh, Nellie Y., Wenyi Wang, Raymond Noordam, & Constantinos Christodoulides. (2022). Obesity, Fat Distribution and Risk of Cancer in Women and Men: A Mendelian Randomisation Study. Nutrients. 14(24). 5259–5259. 20 indexed citations
15.
Xu, Hanfei, Karen Schwander, Michael R. Brown, et al.. (2021). Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions. European Journal of Human Genetics. 29(5). 839–850. 3 indexed citations
16.
Shin, Seung Jun, Fan Gao, Jasmina Bojadzieva, et al.. (2019). Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution Perspective. Cancer Research. 80(2). 347–353. 11 indexed citations
17.
Peng, Gang, Jasmina Bojadzieva, Mandy L. Ballinger, et al.. (2017). Estimating TP53 Mutation Carrier Probability in Families with Li–Fraumeni Syndrome Using LFSPRO. Cancer Epidemiology Biomarkers & Prevention. 26(6). 837–844. 11 indexed citations
18.
Wang, Wenyi, et al.. (2016). Initial Presentation Sites as Predictors of Herpes Zoster Complications: A Nationwide Cohort Study. PLoS ONE. 11(10). e0164019–e0164019. 8 indexed citations
19.
Wang, Wenyi, Kristin B. Niendorf, Amanda L. Blackford, et al.. (2010). Estimating CDKN2A Carrier Probability and Personalizing Cancer Risk Assessments in Hereditary Melanoma Using MelaPRO. Cancer Research. 70(2). 552–559. 34 indexed citations
20.
Ju, Tongzhong, Grainger S. Lanneau, Tripti Gautam, et al.. (2008). Human Tumor Antigens Tn and Sialyl Tn Arise from Mutations in Cosmc. Cancer Research. 68(6). 1636–1646. 232 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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