Jérôme Gracy

1.5k citations
29 papers · 1.1k indexed · h-index 17
    • Glycosylation and Glycoproteins Research 8
    • Biochemical and Structural Characterization 8
    • Protein Structure and Dynamics 6
    • Genomics and Phylogenetic Studies 6
    • Machine Learning in Bioinformatics 4
    • RNA and protein synthesis mechanisms 4
    • Plant-Microbe Interactions and Immunity 5
  • Cell Biology top 10%
    • Bacterial Genetics and Biotechnology 4

Jérôme Gracy

25 papers receiving 1.1k citations

Peers

Jérôme Gracy
Comparison fields: 5 of 72
  • Microbiology 91
  • Molecular Biology 798
  • Plant Science 427
  • Biotechnology 97
  • Cell Biology 128
Replace Todd A. Naumann with:
Todd A. Naumann United States
André Padilla France
Marcius S. Almeida Brazil
Begoña Díez Spain
Surojit Biswas United States
Chiara Gabella Switzerland
Gary Wilcox United States
N. Sharon Israel
Chengcai An China
Alfredo Torres‐Larios Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Jérôme Gracy

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Gracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202412
2 20240
3 20230
4 202244
5 202153
6 20210
7 201920
8 20194
9 201779
10 2015166
11 201126
12 20108
13 200861
14 2007115
15 200512
16 2004150
17 199833
18 199852
19 19933
20 199330

About Jérôme Gracy

Jérôme Gracy is a scholar working on Molecular Biology, Cell Biology and Biotechnology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Biochemical and Structural Characterization (8 papers), Protein Structure and Dynamics (6 papers), Genomics and Phylogenetic Studies (6 papers), Plant-Microbe Interactions and Immunity (5 papers), Machine Learning in Bioinformatics (4 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Microbiology (91 citations), Molecular Biology (798 citations) and Plant Science (427 citations). Jérôme Gracy has collaborated with scholars based in France, Australia and Germany. Frequent co-authors include L. Chiche, Patrick Argos, Jean‐Christophe Gelly, Annie Heitz, Dung Le‐Nguyen, André Padilla, Thomas Kroj, Karine de Guillen, Diana Ortiz and Elisabeth Fournier. Their work appears in journals such as PLoS Pathogens, Nucleic Acids Research, BMC Bioinformatics, Bioinformatics and Journal of Structural 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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