Wenyu Wang
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Computational Theory and Mathematics top 2%
- Oncology top 10%
- Co-authors
- Jing TangAlberto PessiaAlina MalyutinaShuyu ZhengJehad AldahdoohZiaurrehman TanoliTolou ShadbahrAmy Deik
- Topics
- Bioinformatics and Genomic Networks (11 papers)Genetic Associations and Epidemiology (10 papers)Computational Drug Discovery Methods (5 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Wenyu Wang
39 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 599
- Cancer Research 531
- Computational Theory and Mathematics 276
- Oncology 241
Countries citing papers authored by Wenyu Wang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasetsbreakdown → | 320 |
| 5 | 65 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 157 | |
| 9 | 28 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosisbreakdown → | 663 |
| 13 | 21 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | Association of ECRG4 with PLK1, CDK4, PLOD1 and PLOD2 in esophageal squamous cell carcinoma. | 26 |
| 18 | 28 | |
| 19 | 19 | |
| 20 | 5 |
About Wenyu Wang
Wenyu Wang is a scholar working on Cancer Research, Computational Theory and Mathematics and Genetics, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (10 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Cancer Research (531 citations), Pulmonary and Respiratory Medicine (599 citations) and Computational Theory and Mathematics (276 citations). Wenyu Wang has collaborated with scholars based in China, Finland and United States. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.