Guy Vigers
Impact in
- Structural Biology top 5%
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in ⓘ
-
- Computational Drug Discovery Methods 7
- Co-authors
- Barbara J. Brandhuber (18 shared papers)Manfred J. Lohka (2 shared papers)R.A. Crowther (2 shared papers)Barbara M. F. Pearse (2 shared papers)J. Richard McIntosh (4 shared papers)Wen‐I Wu (5 shared papers)Lana J. Anderson (1 shared paper)W.C. Voegtli (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (10 papers)Journal of Biological Chemistry (4 papers)Molecular Cancer Therapeutics (3 papers)Nature (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Guy Vigers
41 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Structural Biology 63
- Cell Biology 547
- Molecular Biology 1.4k
- Immunology 349
- Computational Theory and Mathematics 203
Countries citing papers authored by Guy Vigers
This map shows the geographic impact of Guy Vigers'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 Guy Vigers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Vigers more than expected).
Fields of papers citing papers by Guy Vigers
This network shows the impact of papers produced by Guy Vigers. 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 Guy Vigers. The network helps show where Guy Vigers may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Vigers, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 258 | |
| 2 | 1997 | 222 | |
| 3 | 1987 | 141 | |
| 4 | 1991 | 132 | |
| 5 | 2012 | 132 | |
| 6 | 1986 | 127 | |
| 7 | 1988 | 116 | |
| 8 | 1986 | 101 | |
| 9 | 1986 | 85 | |
| 10 | 1995 | 83 | |
| 11 | 2003 | 77 | |
| 12 | 2008 | 57 | |
| 13 | 1994 | 55 | |
| 14 | 1999 | 54 | |
| 15 | 2000 | 49 | |
| 16 | 1992 | 47 | |
| 17 | 2010 | 46 | |
| 18 | 2010 | 38 | |
| 19 | 2011 | 33 | |
| 20 | 2019 | 31 |
About Guy Vigers
Guy Vigers is a scholar working on Structural Biology, Computational Theory and Mathematics, Cell Biology, Molecular Biology and Oncology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Melanoma and MAPK Pathways (9 papers), Computational Drug Discovery Methods (7 papers), Biochemical and Molecular Research (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Microtubule and mitosis dynamics (5 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Structural Biology (63 citations), Cell Biology (547 citations), Molecular Biology (1.4k citations), Immunology (349 citations) and Computational Theory and Mathematics (203 citations). Guy Vigers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Barbara J. Brandhuber, Manfred J. Lohka, R.A. Crowther, Barbara M. F. Pearse, J. Richard McIntosh, Wen‐I Wu, Lana J. Anderson, W.C. Voegtli, Hillary L. Sturgis and Murray Stewart. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Molecular Cancer Therapeutics, Nature and The Journal of Cell Biology.
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.