Thomas Cognet

597 citations
21 papers · 408 · h-index 9

Impact in

Papers in

Thomas Cognet

21 papers receiving 398 citations

Peers

Thomas Cognet
Comparison fields: 5 of 50
  • Hepatology 79
  • Cardiology and Cardiovascular Medicine 159
  • Nephrology 21
  • Epidemiology 70
  • Surgery 79
Replace Julia E. Herr with:
Julia E. Herr Canada
Sedat Köroğlu Türkiye
Sathish Parasuraman United Kingdom
George Chandy Canada
Ambra Raimondi Italy
Benedikt Bernhard Switzerland
Megumi Hirokawa Japan
Erica C. Jones United States
Matthias Koschutnik Austria
Takahiro Nishihara Japan
Thomas Cognet relative to Julia E. Herr Canada Julia E. Herr's profile →
Citations per field
00.5×9.9×
Julia E. Herr · 1×
Citations per year

Countries citing papers authored by Thomas Cognet

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Cognet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 201380
3 201661
4 201339
5 201330
6 201526
7 201325
8 202113
9 201310
10 20136
11 20136
12 20195
13 20175
14 20124
15 20184
16 20183
17 20152
18 20182
19 20132
20 20142

About Thomas Cognet

Thomas Cognet is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Hepatology and Nephrology, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiovascular Effects of Exercise (2 papers), Liver Disease and Transplantation (2 papers), Viral Infections and Immunology Research (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Parathyroid Disorders and Treatments (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (79 citations), Cardiology and Cardiovascular Medicine (159 citations), Nephrology (21 citations), Epidemiology (70 citations) and Surgery (79 citations). Thomas Cognet has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Olivier Lairez, Matthieu Berry, Didier Carrié, Michel Galinier, Jean Marie Péron, Maéva Guillaume, Jean Pierre Vinel, Marie Angèle Robic, Christophe Bureau and Pascal Lim. Their work appears in journals such as Archives of cardiovascular diseases, Nuclear Medicine Communications, Annals of Nuclear Medicine, Hepatology and Journal of Nuclear Cardiology.

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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