Jean Garnier

3.3k total citations · 2 hit papers
41 papers, 2.7k citations indexed

About

Jean Garnier is a scholar working on Molecular Biology, Materials Chemistry and Reproductive Medicine. According to data from OpenAlex, Jean Garnier has authored 41 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Materials Chemistry and 6 papers in Reproductive Medicine. Recurrent topics in Jean Garnier's work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (11 papers) and Glycosylation and Glycoproteins Research (5 papers). Jean Garnier is often cited by papers focused on Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (11 papers) and Glycosylation and Glycoproteins Research (5 papers). Jean Garnier collaborates with scholars based in France, United States and Morocco. Jean Garnier's co-authors include Barry Robson, Jean-François Gibrat, Jonathan M. Levin, Roland Salesse, Edwin Milgröm, Micheline Misrahi, Hugues Loosfelt, M. Atger, Anne Guiochon‐Mantel and André Jolivet and has published in prestigious journals such as Nature, Science and Bioinformatics.

In The Last Decade

Jean Garnier

40 papers receiving 2.6k citations

Hit Papers

[32] GOR method for predicting protein secondary structur... 1989 2026 2001 2013 1996 1989 250 500 750 1000

Peers

Jean Garnier
Comparison fields: 5 of 120
  • Molecular Biology 1.9k
  • Reproductive Medicine 372
  • Materials Chemistry 367
  • Genetics 324
  • Immunology 236
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John W. M. Mulders Netherlands View profile →
Citations per field, relative to Jean Garnier
Jean Garnier · 1×
Citations per year, relative to Jean Garnier
Jean Garnier · 1×

Countries citing papers authored by Jean Garnier

Since Specialization
Citations

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

Fields of papers citing papers by Jean Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Garnier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Garnier. A scholar is included among the top collaborators of Jean Garnier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Garnier. Jean Garnier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 14
3 23
4 8
5
[32] GOR method for predicting protein secondary structure from amino acid sequence breakdown →
1031
6 52
7 1
8 71
9 13
10 43
11 18
12 1
13 26
14 46
15 52
16 14
17
Cloning and Sequencing of Porcine LH-hCG Receptor cDNA: Variants Lacking Transmembrane Domain breakdown →
496
18 97
19 38
20 41

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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