Weishu Bu
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- Pharmacogenetics and Drug Metabolism 2
- Genetics 3
- Virus-based gene therapy research 2
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Thayumanasamy Somasundaram (2 shared papers)Michael Stewart Chapman (2 shared papers)Smita Bhatia (2 shared papers)Qing Xie (2 shared papers)Arezki Azzi (1 shared paper)Joan T. Hare (1 shared paper)Chun‐Ting Zhang (1 shared paper)Zhiping Feng (1 shared paper)
- Journals
- Journal of Molecular Biology (1 paper)Biochemistry (1 paper)Frontiers in Plant Science (1 paper)Journal of Inorganic Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Weishu Bu
7 papers receiving 615 citations
Peers
Comparison fields: 5 of 61
- Genetics 469
- Animal Science and Zoology 78
- Infectious Diseases 128
- Molecular Biology 436
- Cardiology and Cardiovascular Medicine 76
Countries citing papers authored by Weishu Bu
This map shows the geographic impact of Weishu Bu'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 Weishu Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weishu Bu more than expected).
Fields of papers citing papers by Weishu Bu
This network shows the impact of papers produced by Weishu Bu. 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 Weishu Bu. The network helps show where Weishu Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weishu Bu, 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 | 2002 | 517 | |
| 2 | 1999 | 48 | |
| 3 | 2009 | 33 | |
| 4 | 2003 | 17 | |
| 5 | 2014 | 14 | |
| 6 | 2018 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Weishu Bu
Weishu Bu is a scholar working on Pharmacology, Genetics, Infectious Diseases, Molecular Biology and Cancer Research, having authored 8 papers that have together received 631 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (2 papers), Virus-based gene therapy research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper), Metal-Catalyzed Oxygenation Mechanisms (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Genetics (469 citations), Animal Science and Zoology (78 citations), Infectious Diseases (128 citations), Molecular Biology (436 citations) and Cardiology and Cardiovascular Medicine (76 citations). Weishu Bu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Thayumanasamy Somasundaram, Michael Stewart Chapman, Smita Bhatia, Qing Xie, Arezki Azzi, Joan T. Hare, Chun‐Ting Zhang, Zhiping Feng, Ziding Zhang and Makoto Kitabatake. Their work appears in journals such as Journal of Molecular Biology, Biochemistry, Frontiers in Plant Science, Journal of Inorganic Biochemistry 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.