Simon Galas

2.4k citations
46 papers · 2.0k · h-index 21

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics

Papers in

Simon Galas

45 papers receiving 1.9k citations

Peers

Simon Galas
Comparison fields: 5 of 109
  • Aging 203
  • Cell Biology 803
  • Molecular Biology 1.3k
  • Oncology 378
  • Public Health, Environmental and Occupational Health 349
Replace David Hoogewijs with:
David Hoogewijs Switzerland
J C Cavadore France
J M Westendorf United States
Gérard Géraud France
Koichiro Shiokawa Japan
Willis X. Li United States
Odile Mulner France
Andrea L. Lewellyn United States
Anne‐Christine Brunet France
K.H. Andy Choo Australia
Simon Galas relative to David Hoogewijs Switzerland David Hoogewijs's profile →
Citations per field
00.5×3.4×
David Hoogewijs · 1×
Citations per year

Countries citing papers authored by Simon Galas

Since Specialization
Citations

This map shows the geographic impact of Simon Galas'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 Simon Galas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Galas more than expected).

Fields of papers citing papers by Simon Galas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Galas. 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 Simon Galas. The network helps show where Simon Galas may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Galas, 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 Simon Galas Line = papers co-authored together Simon Galas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993348
2 1998175
3 1994171
4 1991152
5 2006129
6 199983
7 200083
8 201082
9 199981
10 201372
11 199666
12 200157
13
Cloning, expression and subcellular localization of the human homolog of p40MO15 catalytic subunit of cdk-activating kinase.
199445
14 200343
15 199341
16 201439
17 199932
18 201925
19 201321
20 202021

About Simon Galas

Simon Galas is a scholar working on Molecular Biology, Aging, Cell Biology, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Microtubule and mitosis dynamics (12 papers), Spaceflight effects on biology (9 papers), Tardigrade Biology and Ecology (6 papers), Cancer-related Molecular Pathways (6 papers), Biocrusts and Microbial Ecology (4 papers), Reproductive Biology and Fertility (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (203 citations), Cell Biology (803 citations), Molecular Biology (1.3k citations), Oncology (378 citations) and Public Health, Environmental and Occupational Health (349 citations). Simon Galas has collaborated with scholars based in France, Canada and Japan. Frequent co-authors include Marcel Dorée, M. Dorée, Thierry Lorca, Jean‐Claude Labbé, Didier Fesquet, J C Cavadore, Thierry Brassac, Daniel Fisher, F Girard and Jean‐Paul Capony. Their work appears in journals such as PLoS ONE, The EMBO Journal, Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

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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