Wen Wei
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Microbiology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 12
- Machine Learning in Bioinformatics 6
- Fungal and yeast genetics research 4
- RNA modifications and cancer 4
- 14-3-3 protein interactions 3
- Protein Kinase Regulation and GTPase Signaling 3
- Genetics 13
- Evolution and Genetic Dynamics 5
- Co-authors
- Daniel Broek (7 shared papers)Feng‐Biao Guo (18 shared papers)Michael H. Shapero (3 shared papers)Keith Jones (3 shared papers)Michael R. Stratton (2 shared papers)Richard Wooster (2 shared papers)P. Andrew Futreal (2 shared papers)Graham R. Bignell (2 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Molecular Biology and Evolution (3 papers)Genome Biology and Evolution (3 papers)Frontiers in Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wen Wei
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 253
- Microbiology 13
- Molecular Biology 1.2k
- Genetics 464
- Immunology and Allergy 66
Countries citing papers authored by Wen Wei
This map shows the geographic impact of Wen Wei'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 Wen Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Wei more than expected).
Fields of papers citing papers by Wen Wei
This network shows the impact of papers produced by Wen Wei. 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 Wen Wei. The network helps show where Wen Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 281 | |
| 2 | 1997 | 276 | |
| 3 | 2004 | 213 | |
| 4 | 2002 | 177 | |
| 5 | 1992 | 79 | |
| 6 | 2017 | 68 | |
| 7 | 2013 | 63 | |
| 8 | 2006 | 54 | |
| 9 | Yeast cells can enter a quiescent state through G1, S, G2, or M phase of the cell cycle. | 1993 | 48 |
| 10 | 1994 | 46 | |
| 11 | 2016 | 36 | |
| 12 | 2018 | 35 | |
| 13 | 2019 | 35 | |
| 14 | 2017 | 34 | |
| 15 | 2022 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2016 | 31 | |
| 18 | 1993 | 27 | |
| 19 | 2024 | 26 | |
| 20 | 2016 | 24 |
About Wen Wei
Wen Wei is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Cancer Research, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (12 papers), Machine Learning in Bioinformatics (6 papers), Evolution and Genetic Dynamics (5 papers), Fungal and yeast genetics research (4 papers), RNA modifications and cancer (4 papers), 14-3-3 protein interactions (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (253 citations), Microbiology (13 citations), Molecular Biology (1.2k citations), Genetics (464 citations) and Immunology and Allergy (66 citations). Wen Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daniel Broek, Feng‐Biao Guo, Michael H. Shapero, Keith Jones, Michael R. Stratton, Richard Wooster, P. Andrew Futreal, Graham R. Bignell, Raymond D. Mosteller and Linda Van Aelst. Their work appears in journals such as Molecular and Cellular Biology, Molecular Biology and Evolution, Genome Biology and Evolution, Frontiers in Microbiology and Proceedings of the National Academy of Sciences.
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.