Geng Wu
Impact in
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
- Wnt/β-catenin signaling in development and cancer
- TGF-β signaling in diseases
- Enzyme Catalysis and Immobilization
- Cell Biology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 8
- DNA and Nucleic Acid Chemistry 7
- Cancer-related gene regulation 6
- RNA modifications and cancer 6
- Wnt/β-catenin signaling in development and cancer 5
- Genetics 11
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Yigong Shi (4 shared papers)Brenda A. Schulman (2 shared papers)Nikola P. Pavletich (2 shared papers)Jijie Chai (1 shared paper)Jiawei Wu (1 shared paper)Chunying Du (1 shared paper)Tomeka Suber (1 shared paper)Xiaodong Wang (1 shared paper)
- Journals
- Journal of Bacteriology (5 papers)Scientific Reports (5 papers)PLoS ONE (5 papers)Nature Communications (5 papers)mBio (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Geng Wu
84 papers receiving 3.9k citations
Geng Wu's Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.2k
- Cell Biology 439
- Oncology 561
- Aging 34
- Cancer Research 246
Countries citing papers authored by Geng Wu
This map shows the geographic impact of Geng Wu'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 Geng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng Wu more than expected).
Fields of papers citing papers by Geng Wu
This network shows the impact of papers produced by Geng Wu. 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 Geng Wu. The network helps show where Geng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Geng Wu, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural basis of IAP recognition by Smac/DIABLO Hit paper breakdown → | 2000 | 724 |
| 2 | Structure of a β-TrCP1-Skp1-β-Catenin Complex Hit paper breakdown → | 2003 | 529 |
| 3 | 1999 | 367 | |
| 4 | 2005 | 249 | |
| 5 | 2000 | 246 | |
| 6 | 2014 | 238 | |
| 7 | 2009 | 184 | |
| 8 | 1999 | 139 | |
| 9 | 2017 | 83 | |
| 10 | 2012 | 71 | |
| 11 | 2008 | 60 | |
| 12 | 2011 | 58 | |
| 13 | 2006 | 54 | |
| 14 | 1991 | 54 | |
| 15 | 2013 | 50 | |
| 16 | 2017 | 46 | |
| 17 | 2016 | 45 | |
| 18 | 1987 | 43 | |
| 19 | 2018 | 39 | |
| 20 | 2011 | 37 |
About Geng Wu
Geng Wu is a scholar working on Molecular Biology, Genetics, Cell Biology, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 87 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (8 papers), DNA and Nucleic Acid Chemistry (7 papers), Cancer-related gene regulation (6 papers), RNA modifications and cancer (6 papers), Bacteriophages and microbial interactions (5 papers), Molecular Sensors and Ion Detection (5 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cell Biology (439 citations), Oncology (561 citations), Aging (34 citations) and Cancer Research (246 citations). Geng Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yigong Shi, Brenda A. Schulman, Nikola P. Pavletich, Jijie Chai, Jiawei Wu, Chunying Du, Tomeka Suber, Xiaodong Wang, J. Wade Harper and Guozhou Xu. Their work appears in journals such as Journal of Bacteriology, Scientific Reports, PLoS ONE, Nature Communications and mBio.
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.