J.-P. Mornon
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Porphyrin Metabolism and Disorders
Papers in
- Aging 1
-
- Protein Structure and Dynamics 9
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 4
- Steroid Chemistry and Biochemistry 4
- Co-authors
- Isabelle CallebautGilles LabesseBernard HenrissatJacques ChomilierAnne PouponLuc CanardPatrick DurandJean‐Antoine Girault
- Journals
- Journal of Molecular Biology (5 papers)Proteins Structure Function and Bioinformatics (3 papers)Cellular and Molecular Life Sciences (3 papers)Computer applications in the biosciences (3 papers)European Journal of Biochemistry (2 papers)
- Partner nations
- FranceUnited StatesHungary
In The Last Decade
J.-P. Mornon
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 118
- Immunology and Allergy 127
- Molecular Biology 1.3k
- Cell Biology 265
- Nephrology 96
- Endocrinology, Diabetes and Metabolism 219
Countries citing papers authored by J.-P. Mornon
This map shows the geographic impact of J.-P. Mornon'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 J.-P. Mornon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-P. Mornon more than expected).
Fields of papers citing papers by J.-P. Mornon
This network shows the impact of papers produced by J.-P. Mornon. 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 J.-P. Mornon. The network helps show where J.-P. Mornon may publish in the future.
Co-authors
The 25 scholars most cited alongside J.-P. Mornon, 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 | 2008 | 11 | |
| 2 | 2006 | 58 | |
| 3 | 2005 | 185 | |
| 4 | 2004 | 90 | |
| 5 | 2003 | 64 | |
| 6 | 2002 | 9 | |
| 7 | 2000 | 46 | |
| 8 | 1999 | 139 | |
| 9 | 1999 | 85 | |
| 10 | 1999 | 7 | |
| 11 | 1998 | 23 | |
| 12 | 1998 | 86 | |
| 13 | 1998 | 6 | |
| 14 | 1997 | 141 | |
| 15 | 1992 | 129 | |
| 16 | 1991 | 5 | |
| 17 | 1990 | 7 | |
| 18 | 1989 | 54 | |
| 19 | 1989 | 5 | |
| 20 | 1987 | 111 |
About J.-P. Mornon
J.-P. Mornon is a scholar working on Aging, Molecular Biology, Virology, Genetics and Cell Biology, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers), Estrogen and related hormone effects (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Immunology and Allergy (127 citations), Molecular Biology (1.3k citations), Cell Biology (265 citations), Nephrology (96 citations) and Endocrinology, Diabetes and Metabolism (219 citations). J.-P. Mornon has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Isabelle Callebaut, Gilles Labesse, Bernard Henrissat, Jacques Chomilier, Anne Poupon, Luc Canard, Patrick Durand, Jean‐Antoine Girault, N. Colloc’h and Jérôme Wojcik. Their work appears in journals such as Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Cellular and Molecular Life Sciences, Computer applications in the biosciences and European Journal of Biochemistry.
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.