Jc Cortay
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 22
- Protein Structure and Dynamics 7
- DNA and Nucleic Acid Chemistry 6
- DNA Repair Mechanisms 4
- Genetics 29
- Bacterial Genetics and Biotechnology 27
- Co-authors
- Didier Négre (20 shared papers)A.J. Cozzone (13 shared papers)Alain J. Cozzone (14 shared papers)B. Duclos (7 shared papers)Françoise Bleicher (8 shared papers)Bruno Lina (7 shared papers)Marie Scarabel (4 shared papers)Milton H. Saier (2 shared papers)
- Journals
- Journal of Molecular Biology (5 papers)European Journal of Biochemistry (5 papers)Gene (4 papers)Nucleic Acids Research (4 papers)Antiviral Research (4 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Jc Cortay
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Genetics 492
- Molecular Biology 837
- Hepatology 88
- Virology 54
- Epidemiology 335
Countries citing papers authored by Jc Cortay
This map shows the geographic impact of Jc Cortay'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 Jc Cortay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jc Cortay more than expected).
Fields of papers citing papers by Jc Cortay
This network shows the impact of papers produced by Jc Cortay. 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 Jc Cortay. The network helps show where Jc Cortay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jc Cortay, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 122 | |
| 2 | 1986 | 75 | |
| 3 | 1991 | 72 | |
| 4 | 2008 | 69 | |
| 5 | 2016 | 68 | |
| 6 | 1994 | 65 | |
| 7 | 1988 | 61 | |
| 8 | 1996 | 57 | |
| 9 | 2005 | 54 | |
| 10 | 2005 | 43 | |
| 11 | 2012 | 42 | |
| 12 | 1997 | 40 | |
| 13 | 1988 | 38 | |
| 14 | 1986 | 36 | |
| 15 | 1989 | 34 | |
| 16 | 1992 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 1991 | 32 | |
| 19 | 1996 | 30 | |
| 20 | 2003 | 29 |
About Jc Cortay
Jc Cortay is a scholar working on Molecular Biology, Genetics, Epidemiology, Materials Chemistry and Ecology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (27 papers), RNA and protein synthesis mechanisms (22 papers), Enzyme Structure and Function (12 papers), Bacteriophages and microbial interactions (10 papers), Protein Structure and Dynamics (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Genetics (492 citations), Molecular Biology (837 citations), Hepatology (88 citations), Virology (54 citations) and Epidemiology (335 citations). Jc Cortay has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Didier Négre, A.J. Cozzone, Alain J. Cozzone, B. Duclos, Françoise Bleicher, Bruno Lina, Marie Scarabel, Milton H. Saier, Émilie Frobert and Florence Morfin. Their work appears in journals such as Journal of Molecular Biology, European Journal of Biochemistry, Gene, Nucleic Acids Research and Antiviral Research.
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.