Kenneth Wu
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- Oncology top 5%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 31
- Protein Degradation and Inhibitors 9
- Histone Deacetylase Inhibitors Research 5
- Oncology 17
- Cancer-related Molecular Pathways 9
- Peptidase Inhibition and Analysis 8
- Co-authors
- Zhen‐Qiang Pan (27 shared papers)Angus Chen (6 shared papers)Kosj Yamoah (5 shared papers)Peilin Tan (5 shared papers)Alex Kentsis (1 shared paper)Carlos A. Gómez (3 shared papers)Serge Y. Fuchs (3 shared papers)Zhen-Qiang Pan (3 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)Proceedings of the National Academy of Sciences (5 papers)American Journal of Physiology-Endocrinology and Metabolism (4 papers)Biochemical Journal (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kenneth Wu
47 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.2k
- Oncology 725
- Cell Biology 414
- Epidemiology 628
- Emergency Medicine 163
Countries citing papers authored by Kenneth Wu
This map shows the geographic impact of Kenneth 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 Kenneth Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Wu more than expected).
Fields of papers citing papers by Kenneth Wu
This network shows the impact of papers produced by Kenneth 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 Kenneth Wu. The network helps show where Kenneth Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 367 | |
| 2 | 1999 | 303 | |
| 3 | 1989 | 290 | |
| 4 | 1993 | 197 | |
| 5 | 2000 | 175 | |
| 6 | 2003 | 172 | |
| 7 | 2003 | 158 | |
| 8 | 2008 | 136 | |
| 9 | 2010 | 120 | |
| 10 | 2010 | 107 | |
| 11 | 1992 | 98 | |
| 12 | 2000 | 94 | |
| 13 | 2004 | 79 | |
| 14 | 2002 | 75 | |
| 15 | 2004 | 75 | |
| 16 | 2000 | 57 | |
| 17 | 2016 | 45 | |
| 18 | 2012 | 44 | |
| 19 | 2019 | 38 | |
| 20 | 1991 | 37 |
About Kenneth Wu
Kenneth Wu is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Genetics, having authored 47 papers that have together received 3.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (31 papers), Protein Degradation and Inhibitors (9 papers), Cancer-related Molecular Pathways (9 papers), Peptidase Inhibition and Analysis (8 papers), Autophagy in Disease and Therapy (7 papers), Diet and metabolism studies (7 papers), Histone Deacetylase Inhibitors Research (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Oncology (725 citations), Cell Biology (414 citations), Epidemiology (628 citations) and Emergency Medicine (163 citations). Kenneth Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhen‐Qiang Pan, Angus Chen, Kosj Yamoah, Peilin Tan, Alex Kentsis, Carlos A. Gómez, Serge Y. Fuchs, Zhen-Qiang Pan, Marc K. Hellerstein and M K Hellerstein. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Physiology-Endocrinology and Metabolism, Biochemical Journal and Journal of Proteome Research.
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.