Jean-Jacques Codani
Impact in
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- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in
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- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 3
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA and protein synthesis mechanisms 1
- Plant biochemistry and biosynthesis 1
- Gene expression and cancer classification 1
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- Algorithms and Data Compression 4
- Co-authors
- Hélène Glémet (3 shared papers)Jean‐Paul Comet (2 shared papers)Alain Hénaut (2 shared papers)Jean-Christophe Aude (2 shared papers)Piotr P. Słonimski (1 shared paper)Olivier Bastien (1 shared paper)Bernard Fertil (1 shared paper)Éric Maréchal (1 shared paper)
- Journals
- Bioinformatics (1 paper)Nature Biotechnology (1 paper)Gene (1 paper)Computer applications in the biosciences (1 paper)Methods in microbiology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean-Jacques Codani
8 papers receiving 201 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 161
- Information Systems and Management 10
- Biochemistry 7
- Artificial Intelligence 33
- Spectroscopy 11
Countries citing papers authored by Jean-Jacques Codani
This map shows the geographic impact of Jean-Jacques Codani'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-Jacques Codani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Jacques Codani more than expected).
Fields of papers citing papers by Jean-Jacques Codani
This network shows the impact of papers produced by Jean-Jacques Codani. 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-Jacques Codani. The network helps show where Jean-Jacques Codani may publish in the future.
Co-authors
The 17 scholars most cited alongside Jean-Jacques Codani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 64 | |
| 2 | 1999 | 56 | |
| 3 | 2004 | 33 | |
| 4 | 1999 | 21 | |
| 5 | 1999 | 19 | |
| 6 | 2002 | 11 | |
| 7 | 1993 | 2 | |
| 8 | 1995 | 1 |
About Jean-Jacques Codani
Jean-Jacques Codani is a scholar working on Molecular Biology, Artificial Intelligence, Spectroscopy, Information Systems and Management and Hardware and Architecture, having authored 8 papers that have together received 207 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (4 papers), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Plant biochemistry and biosynthesis (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (161 citations), Information Systems and Management (10 citations), Biochemistry (7 citations), Artificial Intelligence (33 citations) and Spectroscopy (11 citations). Jean-Jacques Codani has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Hélène Glémet, Jean‐Paul Comet, Alain Hénaut, Jean-Christophe Aude, Piotr P. Słonimski, Olivier Bastien, Bernard Fertil, Éric Maréchal, Sylvaine Roy and Sylvain Lespinats. Their work appears in journals such as Bioinformatics, Nature Biotechnology, Gene, Computer applications in the biosciences and Methods in microbiology.
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.