Wenyu Wang

3.2k total citations · 2 hit papers
40 papers, 1.8k citations indexed

About

Wenyu Wang is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Wenyu Wang has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Wenyu Wang's work include Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (10 papers) and Computational Drug Discovery Methods (5 papers). Wenyu Wang is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (10 papers) and Computational Drug Discovery Methods (5 papers). Wenyu Wang collaborates with scholars based in China, Finland and United States. Wenyu Wang's co-authors include Jing Tang, Alberto Pessia, Alina Malyutina, Shuyu Zheng, Jehad Aldahdooh, Ziaurrehman Tanoli, Tolou Shadbahr, Amy Deik, Vasanthi S. Viswanathan and Sabina Signoretti and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Wenyu Wang

39 papers receiving 1.8k citations

Hit Papers

A GPX4-dependent cancer cell state underlies the clear-ce... 2019 2026 2021 2023 2019 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis
    2019 663 citations Yilong Zou, Michael J. Palte et al. Nature Communications profile →
  2. SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
    2022 320 citations Shuyu Zheng, Wenyu Wang et al. Genomics Proteomics & Bioinformatics profile →

Peers

Wenyu Wang
Jia Xu China
Kenji Schorpp Germany
Sukyung Woo United States
Pan Pantziarka Belgium
Lei Yan China
Jennifer J. Young United States
Mirra Chung United States
Seungyoon Nam South Korea
Yuan Zhou China
Hyeon-Nae Jeon South Korea
Jia Xu China
Wenyu Wang
Citations per year, relative to Wenyu Wang Wenyu Wang (= 1×) peers Jia Xu

Countries citing papers authored by Wenyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyu Wang. A scholar is included among the top collaborators of Wenyu 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 Wenyu Wang. Wenyu 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.
Dai, Jun, Shuyu Zheng, Matías Marín Falco, et al.. (2024). Tracing back primed resistance in cancer via sister cells. Nature Communications. 15(1). 1158–1158. 7 indexed citations
3.
Wang, Wenyu, Jing Tang, & Andrea Zaliani. (2024). Outline and background for the EU-OS solubility prediction challenge. SLAS DISCOVERY. 29(4). 100155–100155. 4 indexed citations
4.
Zheng, Shuyu, Wenyu Wang, Jehad Aldahdooh, et al.. (2022). SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets. Genomics Proteomics & Bioinformatics. 20(3). 587–596. 320 indexed citations breakdown →
5.
Zheng, Shuyu, Jehad Aldahdooh, Tolou Shadbahr, et al.. (2021). DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal. Nucleic Acids Research. 49(W1). W174–W184. 65 indexed citations
6.
He, Liye, Daria Bulanova, Jaana Oikkonen, et al.. (2021). Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer. Briefings in Bioinformatics. 22(6). 16 indexed citations
7.
Kong, Weikaixin, et al.. (2020). Prediction of 5-hydroxytryptamine transporter inhibitors based on machine learning. Computational Biology and Chemistry. 87. 107303–107303. 13 indexed citations
8.
Zagidullin, Bulat, Jehad Aldahdooh, Shuyu Zheng, et al.. (2019). DrugComb: an integrative cancer drug combination data portal. Nucleic Acids Research. 47(W1). W43–W51. 157 indexed citations
9.
Tang, Jing, Prson Gautam, Abhishekh Gupta, et al.. (2019). Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer. npj Systems Biology and Applications. 5(1). 20–20. 28 indexed citations
10.
Huang, Shan, Yuxing Li, Hongbing Ma, et al.. (2019). Investigating the Survival Benefit of Combining Radiotherapy for Surgery Treated Locally Advanced Esophageal Squamous Cell Carcinoma Patients Aged 65 and Older. Journal of Gastrointestinal Surgery. 23(11). 2111–2118. 2 indexed citations
11.
Wang, Wenyu, Alina Malyutina, Alberto Pessia, et al.. (2019). Combined gene essentiality scoring improves the prediction of cancer dependency maps. EBioMedicine. 50. 67–80. 15 indexed citations
12.
Zou, Yilong, Michael J. Palte, Amy Deik, et al.. (2019). A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis. Nature Communications. 10(1). 1617–1617. 663 indexed citations breakdown →
13.
Wang, Wenyu, Yan Yu, Jing Han, et al.. (2017). Genome-wide DNA methylation profiling of articular cartilage reveals significant epigenetic alterations in Kashin-Beck disease and osteoarthritis. Osteoarthritis and Cartilage. 25(12). 2127–2133. 21 indexed citations
14.
Shi, Lijun, et al.. (2017). Short-term effects of extracorporeal shock wave therapy on bone mineral density in postmenopausal osteoporotic patients. Osteoporosis International. 28(10). 2945–2953. 16 indexed citations
15.
Wang, Wenyu, Jingcan Hao, Yan Wen, et al.. (2017). Integrating genome-wide association study and expression quantitative trait loci data identifies multiple genes and gene set associated with neuroticism. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 78. 149–152. 14 indexed citations
16.
Wang, Wenyu, N. Tejo Prakash, Alexey A. Tinkov, et al.. (2017). Integrating genome‐wide association study summaries and element‐gene interaction datasets identified multiple associations between elements and complex diseases. Genetic Epidemiology. 42(2). 168–173. 4 indexed citations
17.
Li, Linwei, Wenyu Wang, Xiaoyan Li, & Tianhui Gao. (2017). Association of ECRG4 with PLK1, CDK4, PLOD1 and PLOD2 in esophageal squamous cell carcinoma.. PubMed. 9(8). 3741–3748. 26 indexed citations
18.
Wang, Wenyu, Yang Liu, Jingcan Hao, et al.. (2016). Comparative analysis of gene expression profiles of hip articular cartilage between non-traumatic necrosis and osteoarthritis. Gene. 591(1). 43–47. 28 indexed citations
19.
20.
Wang, Wenyu, et al.. (2003). The effects of daylength on protein synthesis and flowering in Doritis pulcherrima. Scientia Horticulturae. 97(1). 49–56. 5 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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