Clément Chevalier

1.7k citations
27 papers · 1.2k · h-index 17

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • Ubiquitin and proteasome pathways 2
    • Bacterial Genetics and Biotechnology 6

Clément Chevalier

27 papers receiving 1.2k citations

Peers

Clément Chevalier
Comparison fields: 5 of 109
  • Infectious Diseases 336
  • Genetics 401
  • Structural Biology 21
  • Molecular Biology 794
  • Ecology 257
Replace Gabriella Viero with:
Gabriella Viero Italy
Rachel Santarella‐Mellwig Germany
Thomas Penz Austria
Catherine E. Richter United States
Ivan N. Shatsky Russia
Helen Farr United Kingdom
Shixin Yang United States
Marcin Grynberg Poland
Stefanie Kandels‐Lewis Germany
Katerina Ragkousi United States
Clément Chevalier relative to Gabriella Viero Italy Gabriella Viero's profile →
Citations per field
00.5×3.5×
Gabriella Viero · 1×
Citations per year

Countries citing papers authored by Clément Chevalier

Since Specialization
Citations

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

Fields of papers citing papers by Clément Chevalier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007367
2 2009179
3 201095
4 201688
5 202080
6 201841
7 201938
8 201638
9 200933
10 201730
11 200922
12 201221
13 202020
14 202119
15 200818
16 200817
17 201616
18 200714
19 201513
20 201912

About Clément Chevalier

Clément Chevalier is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Genetics and Biotechnology (6 papers), Chromosomal and Genetic Variations (3 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Infectious Diseases (336 citations), Genetics (401 citations), Structural Biology (21 citations), Molecular Biology (794 citations) and Ecology (257 citations). Clément Chevalier has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Pascale Romby, Thomas Geissmann, Pierre Fechter, François Vandenesch, Sandrine Boisset, Christine Gaspin, Eric Huntzinger, Alain Jacquier, Nadia Bendridi and Yvonne Benito. Their work appears in journals such as Journal of Personalized Medicine, Clinical Cancer Research, Nature Communications, Arthropod Structure & Development and Advances in Biological Regulation.

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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