C. Geourjon

6.9k citations
48 papers · 5.6k indexed · 2 hit papers · h-index 28

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • vaccines and immunoinformatics approaches
    • Genomics and Phylogenetic Studies

Papers in

    • Advanced Proteomics Techniques and Applications 7
    • Mass Spectrometry Techniques and Applications 7
    • Protein Structure and Dynamics 16
    • Genomics and Phylogenetic Studies 12
    • Machine Learning in Bioinformatics 7
    • RNA and protein synthesis mechanisms 7

C. Geourjon

48 papers receiving 5.5k citations

Hit Papers

NPS@: Network Protein Sequence Analysis 2000 · 1.5k citations
1.5k199520262005201550010001.5k

Peers

C. Geourjon
Comparison fields: 5 of 134
  • Molecular Biology 3.7k
  • Biotechnology 354
  • Virology 182
  • Microbiology 212
  • Hepatology 267
Replace Gilbert Deléage with:
Gilbert Deléage France
Lydie Bougueleret Switzerland
Ambrish Roy United States
J. Sivaraman Singapore
Roland Contreras Belgium
Jeffrey K. Pullen United States
Lim Heo United States
Markus Wiederstein Austria
Kevin Bryson United Kingdom
Ole Vorm Germany
C. Geourjon relative to Gilbert Deléage France Gilbert Deléage's profile →
Citations per field
00.5×1.5×
Gilbert Deléage · 1×
Citations per year

Countries citing papers authored by C. Geourjon

Since Specialization
Citations

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

Fields of papers citing papers by C. Geourjon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200914
2 200670
3 200632
4 200414
5 200326
6 200146
7 200173
8 2001112
9 1999185
10 199780
11 199740
12 199636
13 199561
14 199544
15 1994278
16 199412
17 199317
18 1993164
19 199228
20 199137

About C. Geourjon

C. Geourjon is a scholar working on Spectroscopy, Molecular Biology, Hepatology, Immunology and Allergy and Materials Chemistry, having authored 48 papers that have together received 5.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (13 papers), Genomics and Phylogenetic Studies (12 papers), Machine Learning in Bioinformatics (7 papers), Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (7 papers), RNA and protein synthesis mechanisms (7 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Biotechnology (354 citations), Virology (182 citations), Microbiology (212 citations) and Hepatology (267 citations). C. Geourjon has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Gilbert Deléage, Christophe Combet, Christophe Blanchet, Patrick Gallinari, Yann Guermeur, Jean‐Michel Jault, Anne Imberty, Roland Montserret, Anja Böckmann and François Penin. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics, Computer applications in the biosciences, Gene and PROTEOMICS.

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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2026