Satpal Virdee
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- RNA and protein synthesis mechanisms
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 22
- Protein Degradation and Inhibitors 13
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Oncology 12
- Peptidase Inhibition and Analysis 8
- Cancer-related Molecular Pathways 3
- Co-authors
- Jason W. Chin (6 shared papers)Duy Nguyen (3 shared papers)David Komander (3 shared papers)Yu Ye (2 shared papers)Nicola T. Wood (7 shared papers)Mathew Stanley (6 shared papers)Axel Knebel (4 shared papers)Masato Akutsu (2 shared papers)
- Journals
- Nature Chemical Biology (4 papers)Nature Structural & Molecular Biology (2 papers)Nature Communications (2 papers)Biochemical Journal (2 papers)ChemBioChem (2 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Satpal Virdee
28 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 1.6k
- Oncology 602
- Epidemiology 299
- Cancer Research 128
- Immunology 172
Countries citing papers authored by Satpal Virdee
This map shows the geographic impact of Satpal Virdee'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 Satpal Virdee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satpal Virdee more than expected).
Fields of papers citing papers by Satpal Virdee
This network shows the impact of papers produced by Satpal Virdee. 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 Satpal Virdee. The network helps show where Satpal Virdee may publish in the future.
Co-authors
The 25 scholars most cited alongside Satpal Virdee, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 260 | |
| 2 | 2014 | 259 | |
| 3 | 2018 | 208 | |
| 4 | 2011 | 162 | |
| 5 | 2018 | 138 | |
| 6 | 2011 | 123 | |
| 7 | 2011 | 116 | |
| 8 | 2016 | 89 | |
| 9 | 2010 | 83 | |
| 10 | 2020 | 55 | |
| 11 | 2022 | 55 | |
| 12 | 2021 | 54 | |
| 13 | 2014 | 46 | |
| 14 | 2019 | 26 | |
| 15 | 2016 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2010 | 15 | |
| 18 | 2024 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2005 | 10 |
About Satpal Virdee
Satpal Virdee is a scholar working on Molecular Biology, Oncology, Epidemiology, Organic Chemistry and Genetics, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Protein Degradation and Inhibitors (13 papers), Peptidase Inhibition and Analysis (8 papers), Autophagy in Disease and Therapy (5 papers), RNA and protein synthesis mechanisms (4 papers), Click Chemistry and Applications (4 papers), Cancer-related Molecular Pathways (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Oncology (602 citations), Epidemiology (299 citations), Cancer Research (128 citations) and Immunology (172 citations). Satpal Virdee has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Jason W. Chin, Duy Nguyen, David Komander, Yu Ye, Nicola T. Wood, Mathew Stanley, Axel Knebel, Masato Akutsu, Peter D. Mabbitt and Maria Stella Ritorto. Their work appears in journals such as Nature Chemical Biology, Nature Structural & Molecular Biology, Nature Communications, Biochemical Journal and ChemBioChem.
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.