J Fauvel

824 citations
25 papers · 643 indexed · h-index 14

J Fauvel

25 papers receiving 616 citations

Peers

J Fauvel
Comparison fields: 5 of 89
  • Molecular Biology 317
  • Endocrinology, Diabetes and Metabolism 155
  • Epidemiology 128
  • Surgery 104
  • Oncology 82
Replace Melissa Barber with:
Melissa Barber Australia
Yoshinori Tsuchiyama Japan
Michael G. Sugiyama Canada
Yoshiaki Uchida Japan
Tomomi Toyonaga Japan
Yafa Naim Abu Nabah Spain
Norman A. Granholm United States
Elisa Einwallner Austria
Craig Doig United Kingdom
Yefim Anbinder Israel
J Fauvel relative to Melissa Barber Australia Melissa Barber's profile →
Citations per field
00.5×1.6×
Melissa Barber · 1×
Citations per year

Countries citing papers authored by J Fauvel

Since Specialization
Citations

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

Fields of papers citing papers by J Fauvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Fauvel

This figure shows the co-authorship network connecting the top 25 collaborators of J Fauvel. A scholar is included among the top collaborators of J Fauvel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Fauvel. J Fauvel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 37
2 92
3 5
4 1
5 20
6 48
7 33
8 1
9 7
10 28
11 2
12 15
13
Virtual lack of annexins in human platelets argues against a role in phospholipase A2 regulation and platelet secretion.
2
14 50
15 27
16 18
17 8
18 26
19
Role of platelet membrane phospholipids in signal transduction.
1
20
Relationship between phospholipid metabolism and intracellular calcium mobilization during platelet activation.
3

About J Fauvel

J Fauvel is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 25 papers that have together received 643 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (6 papers), Diet, Metabolism, and Disease (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (155 citations), Molecular Biology (317 citations) and Neurology (59 citations). J Fauvel has collaborated with scholars based in France, Netherlands and Sweden. Frequent co-authors include Hugues Chap, Ama Gassama‐Diagne, Delphine Vezzosi, A. Bennet, Jeannie M.F. Ragab-Thomas, F Hullin, P. Caron, Patrick Raynal, Hugues Chap and Jean‐Pierre Salles. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

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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