Benoît Thomas

13 papers receiving 328 citations

Peers

Benoît Thomas
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 98
  • Cardiology and Cardiovascular Medicine 90
  • Biochemistry 28
  • Cell Biology 40
  • Cancer Research 35
Replace Rodrigo P. Silva‐Aguiar with:
Rodrigo P. Silva‐Aguiar Brazil
Yoshiyasu Shinohara Japan
Shinsuke Chida Japan
Anna Kurpińska Poland
Rose M. Fields United States
Yulin Zhou China
Yoshihisa Nemoto Japan
Wheeler Torres Venezuela
Benoît Thomas relative to Rodrigo P. Silva‐Aguiar Brazil Rodrigo P. Silva‐Aguiar's profile →
Citations per field
00.5×3.3×
Rodrigo P. Silva‐Aguiar · 1×
Citations per year

Countries citing papers authored by Benoît Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004173
2 199837
3 195935
4 201924
5 202024
6 202021
7 201915
8 20174
9 20213
10
Ontogenetic dynamics of delta-amino-laevulinic acid dehydratase activity in chick embryo organs and the changes in hepatocytes after exposure to lead.
19822
11 20222
12 20241
13 20201
14 20080

About Benoît Thomas

Benoît Thomas is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Cell Biology and Infectious Diseases, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (2 papers), Vasculitis and related conditions (2 papers), Dermatological and COVID-19 studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Long-Term Effects of COVID-19 (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Cardiology and Cardiovascular Medicine (90 citations), Biochemistry (28 citations), Cell Biology (40 citations) and Cancer Research (35 citations). Benoît Thomas has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Harold J. Nicholas, Bryan Brewer, Eric Baugé, Zouher Majd, Jean‐Charles Fruchart, Loredan S. Niculescu, L Pennacchio, Corinne Rommens, Jamila Fruchart‐Najib and Marie Machouart. Their work appears in journals such as Journal of Neurochemistry, British Journal of Haematology, Neurological Research, ChemMedChem and Journal of Infection and Public Health.

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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