Francis Vasseur

4.6k citations
66 papers · 3.5k indexed · 1 hit paper · h-index 29

Francis Vasseur

66 papers receiving 3.4k citations

Hit Papers

Impaired Multimerization of Human Adiponectin Mutants Ass...8452003202620102018250500750

Peers

Francis Vasseur
Comparison fields: 5 of 122
  • Endocrine and Autonomic Systems 530
  • Epidemiology 2.0k
  • Physiology 1.3k
  • Genetics 1.1k
  • Cardiology and Cardiovascular Medicine 473
Replace Ιορδάνης Καραγιαννίδης with:
Ιορδάνης Καραγιαννίδης United States
Ville Wallenius Sweden
John C. McLenithan United States
Manrico Morroni Italy
Sylvie Hauguel‐de Mouzon United States
Marie‐Noëlle Dieudonné France
Keiji Iida Japan
Hubert Tsui Canada
Norimasa Sagawa Japan
E. Heinze Germany
Francis Vasseur relative to Ιορδάνης Καραγιαννίδης United States Ιορδάνης Καραγιαννίδης's profile →
Citations per field
00.5×3.6×
Ιορδάνης Καραγιαννίδης · 1×
Citations per year

Countries citing papers authored by Francis Vasseur

Since Specialization
Citations

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

Fields of papers citing papers by Francis Vasseur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 202211
3 201521
4 2013252
5 201177
6 20103
7 2010108
8 200911
9 200613
10 200456
11 200315
12 2003105
13 20029
14 200246
15 2002422
16 20014
17 200042
18 200071
19
Cytogenetics in multiple myeloma: A multicentre study of 24 patients with t(11;14) (q13;q32) or variant.
19961
20 19913

About Francis Vasseur

Francis Vasseur is a scholar working on Genetics, Endocrine and Autonomic Systems and Epidemiology, having authored 66 papers that have together received 3.5k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (18 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (12 papers), Microscopic Colitis (11 papers), Regulation of Appetite and Obesity (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (530 citations), Epidemiology (2.0k citations) and Physiology (1.3k citations). Francis Vasseur has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Froguel, Takashi Kadowaki, Junji Kamon, Satoshi Kimura, Ryozo Nagai, Yusuke Ito, Kazuo Hara, Corinne Gower‐Rousseau, Toshimasa Yamauchi and Hironori Waki. Their work appears in journals such as Journal of Crohn s and Colitis, Diabetologia, Diabetes, Inflammatory Bowel Diseases and Gut.

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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