J.-P. Mornon

2.5k citations
54 papers · 2.1k indexed · h-index 20

Impact in

Papers in

    • Protein Structure and Dynamics 9
    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 4
    • Steroid Chemistry and Biochemistry 4

J.-P. Mornon

53 papers receiving 2.0k citations

Peers

J.-P. Mornon
Comparison fields: 5 of 118
  • Immunology and Allergy 127
  • Molecular Biology 1.3k
  • Cell Biology 265
  • Nephrology 96
  • Endocrinology, Diabetes and Metabolism 219
Replace Kjeld Norris with:
Kjeld Norris Denmark
Marie‐Hélène Le Du France
Wolfgang Höhne Germany
Achilles Dugaiczyk United States
Janusz M. Sowadski United States
Grant W. Booker Australia
Louis N. Gastinel France
G C Dubois United States
Doris A. Wall United States
Nana Kawasaki Japan
J.-P. Mornon relative to Kjeld Norris Denmark Kjeld Norris's profile →
Citations per field
00.5×1.5×2.3×
Kjeld Norris · 1×
Citations per year

Countries citing papers authored by J.-P. Mornon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J.-P. Mornon Line = papers co-authored together J.-P. Mornon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200811
2 200658
3 2005185
4 200490
5 200364
6 20029
7 200046
8 1999139
9 199985
10 19997
11 199823
12 199886
13 19986
14 1997141
15 1992129
16 19915
17 19907
18 198954
19 19895
20 1987111

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.

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