Satpal Virdee

2.3k total citations
28 papers, 1.8k citations indexed

About

Satpal Virdee is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Satpal Virdee has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Satpal Virdee's work include Ubiquitin and proteasome pathways (22 papers), Protein Degradation and Inhibitors (13 papers) and Peptidase Inhibition and Analysis (8 papers). Satpal Virdee is often cited by papers focused on Ubiquitin and proteasome pathways (22 papers), Protein Degradation and Inhibitors (13 papers) and Peptidase Inhibition and Analysis (8 papers). Satpal Virdee collaborates with scholars based in United Kingdom, Austria and New Zealand. Satpal Virdee's co-authors include Jason W. Chin, Duy Nguyen, David Komander, Yu Ye, Nicola T. Wood, Mathew Stanley, Axel Knebel, Peter D. Mabbitt, Masato Akutsu and Maria Stella Ritorto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Satpal Virdee

28 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Satpal Virdee United Kingdom 16 1.6k 602 299 191 172 28 1.8k
Michael A. Milhollen United States 14 1.5k 0.9× 538 0.9× 299 1.0× 113 0.6× 105 0.6× 26 1.9k
Alexander Fish Netherlands 27 1.5k 0.9× 328 0.5× 147 0.5× 90 0.5× 164 1.0× 43 1.9k
Gary Kleiger United States 20 1.8k 1.1× 516 0.9× 352 1.2× 56 0.3× 180 1.0× 34 2.2k
Tycho E.T. Mevissen United Kingdom 15 2.2k 1.4× 682 1.1× 564 1.9× 93 0.5× 303 1.8× 16 2.5k
Ken C. Dong United States 18 1.9k 1.2× 493 0.8× 329 1.1× 55 0.3× 190 1.1× 24 2.2k
Gali Prag Israel 17 1.4k 0.8× 264 0.4× 238 0.8× 74 0.4× 144 0.8× 36 1.6k
Monique P. C. Mulder Netherlands 19 1.0k 0.6× 378 0.6× 134 0.4× 228 1.2× 89 0.5× 38 1.2k
Nagamalleswari Kolli United States 7 934 0.6× 400 0.7× 137 0.5× 98 0.5× 103 0.6× 8 1.0k
Michael J. Eddins United States 11 1.5k 0.9× 471 0.8× 314 1.1× 28 0.1× 158 0.9× 14 1.7k
Carilee Denison United States 16 1.2k 0.7× 253 0.4× 108 0.4× 82 0.4× 329 1.9× 17 1.6k

Countries citing papers authored by Satpal Virdee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Satpal Virdee

This figure shows the co-authorship network connecting the top 25 collaborators of Satpal Virdee. A scholar is included among the top collaborators of Satpal Virdee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satpal Virdee. Satpal Virdee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Virdee, Satpal, et al.. (2025). Site-resolved assessment of targeted protein degradation. Cell chemical biology. 32(7). 969–981.e7. 1 indexed citations
2.
Grabarczyk, Daniel B., Jiazhen Zhang, Elisabeth Roitinger, et al.. (2025). ATP functions as a pathogen-associated molecular pattern to activate the E3 ubiquitin ligase RNF213. Nature Communications. 16(1). 4414–4414. 1 indexed citations
3.
Mabbitt, Peter D., Marc-André Déry, Nicola T. Wood, et al.. (2024). UBE2A and UBE2B are recruited by an atypical E3 ligase module in UBR4. Nature Structural & Molecular Biology. 31(2). 351–363. 12 indexed citations
4.
Bustos, Francisco, Sunil Mathur, Rachel Toth, et al.. (2022). Activity-based probe profiling of RNF12 E3 ubiquitin ligase function in Tonne-Kalscheuer syndrome. Life Science Alliance. 5(11). e202101248–e202101248. 5 indexed citations
5.
Virdee, Satpal. (2022). An atypical ubiquitin ligase at the heart of neural development and programmed axon degeneration. Neural Regeneration Research. 17(11). 2347–2347. 12 indexed citations
6.
Virdee, Satpal, et al.. (2022). A new dawn beyond lysine ubiquitination. Nature Chemical Biology. 18(8). 802–811. 55 indexed citations
7.
Chen, Jinghao, et al.. (2022). Selective Inhibition of Cysteine-Dependent Enzymes by Bioorthogonal Tethering. Journal of Molecular Biology. 434(8). 167524–167524. 3 indexed citations
8.
Cesare, Virginia De, Daniel Carbajo, Peter D. Mabbitt, et al.. (2021). Deubiquitinating enzyme amino acid profiling reveals a class of ubiquitin esterases. Proceedings of the National Academy of Sciences. 118(4). 54 indexed citations
9.
Mabbitt, Peter D., Andrea Loreto, Marc-André Déry, et al.. (2020). Structural basis for RING-Cys-Relay E3 ligase activity and its role in axon integrity. Nature Chemical Biology. 16(11). 1227–1236. 55 indexed citations
10.
Mathur, Sunil, Adam J. Fletcher, Emma Branigan, Ronald T. Hay, & Satpal Virdee. (2019). Photocrosslinking Activity-Based Probes for Ubiquitin RING E3 Ligases. Cell chemical biology. 27(1). 74–82.e6. 26 indexed citations
11.
Wood, Nicola T., Axel Knebel, Karim Rafie, et al.. (2018). Activity-based E3 ligase profiling uncovers an E3 ligase with esterification activity. Nature. 556(7701). 381–385. 208 indexed citations
12.
Rehman, S.A. Abdul, N. Jayaprakash, S. Matthews, et al.. (2018). Discovery and Characterization of ZUFSP/ZUP1, a Distinct Deubiquitinase Class Important for Genome Stability. Molecular Cell. 70(1). 150–164.e6. 138 indexed citations
13.
Stanley, Mathew, Cong Han, Yu‐Chiang Lai, et al.. (2016). Probes of ubiquitin E3 ligases enable systematic dissection of parkin activation. Nature Chemical Biology. 12(5). 324–331. 89 indexed citations
14.
15.
Ritorto, Maria Stella, Richard Ewan, Ana B. Pérez‐Oliva, et al.. (2014). Screening of DUB activity and specificity by MALDI-TOF mass spectrometry. Nature Communications. 5(1). 4763–4763. 259 indexed citations
16.
Bett, John S., Maria Stella Ritorto, Richard Ewan, et al.. (2014). Ubiquitin C-terminal hydrolases cleave isopeptide- and peptide-linked ubiquitin from structured proteins but do not edit ubiquitin homopolymers. Biochemical Journal. 466(3). 489–498. 46 indexed citations
17.
Nguyen, Duy, María García-Alai, Satpal Virdee, & Jason W. Chin. (2010). Genetically Directing ɛ-N, N-Dimethyl-l-Lysine in Recombinant Histones. Chemistry & Biology. 17(10). 1072–1076. 83 indexed citations
18.
Virdee, Satpal, Derek Macmillan, & Gabriel Waksman. (2010). Semisynthetic Src SH2 Domains Demonstrate Altered Phosphopeptide Specificity Induced by Incorporation of Unnatural Lysine Derivatives. Chemistry & Biology. 17(3). 274–284. 15 indexed citations
19.
Virdee, Satpal, et al.. (2007). Prediction of Solvation Sites at the Interface of Src SH2 Domain Complexes Using Molecular Dynamics Simulations. Chemical Biology & Drug Design. 70(2). 87–99. 6 indexed citations
20.
Virdee, Satpal, et al.. (2005). The Role of Water in Computational and Experimental Derivation of Binding Thermodynamics in SH2 Domains. Chemical Biology & Drug Design. 67(1). 38–45. 10 indexed citations

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.

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