François Collard

34 papers receiving 1.3k citations

Peers

François Collard
Comparison fields: 5 of 98
  • Clinical Biochemistry 458
  • Biochemistry 164
  • Endocrinology, Diabetes and Metabolism 319
  • Hepatology 90
  • Molecular Biology 531
Replace В. В. Носиков with:
В. В. Носиков Russia
Patricia Lund United Kingdom
Christopher I. Pogson United Kingdom
Huan Huang United States
K.K. Tsuboi United States
Agnes Schulze‐Specking Germany
Umberto Muscatello Italy
Sabine Angermüller Germany
F. Novello Italy
John W. Hawes United States
François Collard relative to В. В. Носиков Russia В. В. Носиков's profile →
Citations per field
00.5×8.2×
В. В. Носиков · 1×
Citations per year

Countries citing papers authored by François Collard

Since Specialization
Citations

This map shows the geographic impact of François Collard'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 François Collard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Collard more than expected).

Fields of papers citing papers by François Collard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Collard. 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 François Collard. The network helps show where François Collard may publish in the future.

Co-authors

The 25 scholars most cited alongside François Collard, 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 François Collard Line = papers co-authored together François Collard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000128
2 2002115
3 2002106
4 2009100
5 201079
6 201672
7 200870
8 201166
9 201359
10 200157
11 199952
12 200352
13 200851
14 201448
15 201044
16 200634
17 200231
18 200429
19 199524
20 201123

About François Collard

François Collard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Biochemistry and Physiology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (8 papers), Advanced Glycation End Products research (7 papers), Diet, Metabolism, and Disease (7 papers), Enzyme Structure and Function (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Polyamine Metabolism and Applications (4 papers), Diabetes Management and Research (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (458 citations), Biochemistry (164 citations), Endocrinology, Diabetes and Metabolism (319 citations), Hepatology (90 citations) and Molecular Biology (531 citations). François Collard has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Emile Van Schaftingen, Ghislain Delpierre, Elsa Wiame, Maria Veiga‐da‐Cunha, Juliette Fortpied, Vincent Stroobant, Vincent M. Monnier, Mark H. Rider, Ina Nemet and Florent Vanstapel. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Acta Diabetologica, Vaccine and Journal of Medical Virology.

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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