Wei Yang
- Molecular Biology top 0.2%
- DNA Repair Mechanisms 80
- DNA and Nucleic Acid Chemistry 73
- RNA and protein synthesis mechanisms 44
- RNA modifications and cancer 32
- CRISPR and Genetic Engineering 20
- Epigenetics and DNA Methylation 18
- Virology top 1%
- Cancer Research top 1%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 18
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer 18
- Co-authors
- Marcin NowotnyRoger WoodgateRobert J. CrouchHong LingChangill BanFrançois BoudsocqYang GaoThomas A. Steitz
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Molecular Cell (12 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wei Yang
220 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 12.6k
- Virology 588
- Cancer Research 1.4k
- Genetics 2.4k
- Pathology and Forensic Medicine 1.5k
Countries citing papers authored by Wei Yang
This map shows the geographic impact of Wei Yang'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 Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yang more than expected).
Fields of papers citing papers by Wei Yang
This network shows the impact of papers produced by Wei Yang. 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 Wei Yang. The network helps show where Wei Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 61 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 107 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 49 | |
| 14 | 2015 | 26 | |
| 15 | 2008 | 32 | |
| 16 | 2007 | 162 | |
| 17 | 2007 | 265 | |
| 18 | 2005 | 498 | |
| 19 | 2005 | 208 | |
| 20 | Crystal structures of mismatch repair protein MutS and its complex with a substrate DNAbreakdown → | 2000 | 523 |
About Wei Yang
Wei Yang is a scholar working on Molecular Biology, Virology and Pathology and Forensic Medicine, having authored 225 papers that have together received 14.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (73 papers), RNA and protein synthesis mechanisms (44 papers), RNA modifications and cancer (32 papers), CRISPR and Genetic Engineering (20 papers), Genetic factors in colorectal cancer (18 papers), Epigenetics and DNA Methylation (18 papers) and Bacterial Genetics and Biotechnology (18 papers). The work is most often cited by research in Molecular Biology (12.6k citations), Virology (588 citations) and Cancer Research (1.4k citations). Wei Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marcin Nowotny, Roger Woodgate, Robert J. Crouch, Hong Ling, Changill Ban, François Boudsocq, Yang Gao, Thomas A. Steitz, Peggy Hsieh and Galina Obmolova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Journal of Biological Chemistry, Nature and Cell.
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.