Guy Vigers

7.5k citations
42 papers · 2.2k · h-index 24

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 12
    • Melanoma and MAPK Pathways 9
    • Biochemical and Molecular Research 6
    • PI3K/AKT/mTOR signaling in cancer 6
    • Photosynthetic Processes and Mechanisms 5

Guy Vigers

42 papers receiving 2.1k citations

Peers

Guy Vigers
Comparison fields: 5 of 116
  • Structural Biology 74
  • Cell Biology 565
  • Molecular Biology 1.5k
  • Immunology 359
  • Computational Theory and Mathematics 213
Replace Jérémie Vendôme with:
Jérémie Vendôme United States
Bertram Canagarajah United States
Rahul Das India
Christoph Mueller‐Dieckmann France
Masato Kawasaki Japan
James Baleja United States
Brent R. Martin United States
P. Dokurno United Kingdom
Roman Sakowicz United States
Andreas Girod Germany
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Citations per field
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Citations per year

Countries citing papers authored by Guy Vigers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guy Vigers Line = papers co-authored together Guy Vigers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010270
2 1997232
3 1987146
4 1986140
5 1991136
6 2012134
7 1988131
8 1986107
9 198691
10 199589
11 200383
12 200857
13 199457
14 199956
15 200050
16 199248
17 201047
18 201039
19 201934
20 201133

About Guy Vigers

Guy Vigers is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cell Biology and Organic Chemistry, having authored 42 papers that have together received 2.2k 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), Microtubule and mitosis dynamics (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Structural Biology (74 citations), Cell Biology (565 citations), Molecular Biology (1.5k citations), Immunology (359 citations) and Computational Theory and Mathematics (213 citations). Guy Vigers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Barbara J. Brandhuber, Manfred J. Lohka, Barbara M. F. Pearse, R.A. Crowther, J. Richard McIntosh, Wen‐I Wu, Lana J. Anderson, W.C. Voegtli, James P. Rizzi and Murray Stewart. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Journal of Biological Chemistry, 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.

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