François Traincard

1.5k citations
28 papers · 1.0k indexed · h-index 14

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

François Traincard

28 papers receiving 1.0k citations

Peers

François Traincard
Comparison fields: 5 of 75
  • Virology 433
  • Immunology 384
  • Infectious Diseases 214
  • Cancer Research 171
  • Radiology, Nuclear Medicine and Imaging 158
Replace Ricardo Rosales with:
Ricardo Rosales Mexico
Theresa Higgins United Kingdom
Jean‐Marie Péloponèse France
Liwei Rong Canada
Alice I. Sato United States
Olaf Rosorius Germany
Wenchang Zhou China
Phillip A. Sharp United States
Ling‐Jun Zhao United States
Markus Zettl United Kingdom
François Traincard relative to Ricardo Rosales Mexico Ricardo Rosales's profile →
Citations per field
00.5×4.7×
Ricardo Rosales · 1×
Citations per year

Countries citing papers authored by François Traincard

Since Specialization
Citations

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

Fields of papers citing papers by François Traincard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20136
2 200872
3 200732
4 200629
5 200452
6 20042
7 200459
8 200180
9 20017
10 19987
11 199713
12 199734
13 199412
14 199238
15 199222
16 19903
17 19892
18 19895
19 198716
20 198328

About François Traincard

François Traincard is a scholar working on Virology, Aging, Microbiology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV/AIDS drug development and treatment (4 papers), NF-κB Signaling Pathways (4 papers), Bacteriophages and microbial interactions (3 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (433 citations), Immunology (384 citations), Infectious Diseases (214 citations), Cancer Research (171 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). François Traincard has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Quentin J. Sattentau, John P. Moore, F Vignaux, Pascal Poignard, Michel Véron, Fabrice Agou, Alain Israël, Gilles Courtois, Shoji Yamaoka and Markus Thali. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Journal of Cell Science, AIDS Research and Human Retroviruses and Journal of 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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