Jérôme Gracy
Impact in
- Microbiology top 5%
- Molecular Biology top 10%
- Biochemical and Structural Characterization
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Biochemical and Structural Characterization 6
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
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- Plant-Microbe Interactions and Immunity 5
- Co-authors
- L. Chiche (12 shared papers)Patrick Argos (3 shared papers)Jean‐Christophe Gelly (4 shared papers)Annie Heitz (4 shared papers)Dung Le‐Nguyen (3 shared papers)Thomas Kroj (5 shared papers)André Padilla (6 shared papers)Karine de Guillen (5 shared papers)
In The Last Decade
Jérôme Gracy
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Microbiology 88
- Molecular Biology 802
- Plant Science 432
- Biotechnology 97
- Cell Biology 122
Countries citing papers authored by Jérôme Gracy
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
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-authors
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 171 | |
| 2 | 2004 | 157 | |
| 3 | 2007 | 124 | |
| 4 | 2017 | 91 | |
| 5 | 2017 | 82 | |
| 6 | 2008 | 66 | |
| 7 | 2021 | 60 | |
| 8 | 1998 | 57 | |
| 9 | 1998 | 48 | |
| 10 | 2022 | 45 | |
| 11 | 1998 | 36 | |
| 12 | 1993 | 32 | |
| 13 | 2011 | 30 | |
| 14 | 2023 | 24 | |
| 15 | 2019 | 20 | |
| 16 | 2005 | 19 | |
| 17 | 2008 | 16 | |
| 18 | 2024 | 13 | |
| 19 | 1999 | 13 | |
| 20 | 2005 | 12 |
About Jérôme Gracy
Jérôme Gracy is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Biochemical and Structural Characterization (6 papers), Protein Structure and Dynamics (5 papers), Plant-Microbe Interactions and Immunity (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Microbiology (88 citations), Molecular Biology (802 citations), Plant Science (432 citations), Biotechnology (97 citations) and Cell Biology (122 citations). Jérôme Gracy has collaborated with scholars based in France, Germany and Australia. Frequent co-authors include L. Chiche, Patrick Argos, Jean‐Christophe Gelly, Annie Heitz, Dung Le‐Nguyen, Thomas Kroj, André Padilla, Karine de Guillen, Diana Ortiz and Elisabeth Fournier. Their work appears in journals such as PLoS Pathogens, Nucleic Acids Research, Bioinformatics, BMC Bioinformatics and Nature Communications.
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.