Daniel Tomé

257 papers receiving 10.3k citations

Peers

Daniel Tomé
Comparison fields: 5 of 167
  • Endocrine and Autonomic Systems 977
  • Physiology 3.1k
  • Nutrition and Dietetics 1.9k
  • Cell Biology 1.6k
  • Food Science 1.4k
Replace André Marette with:
André Marette Canada
Teruo Kawada Japan
Javier González‐Gallego Spain
Rui Curi Brazil
Bie Tan China
Roy J. Martin United States
Hannelore Daniel Germany
Hubert Vidal France
Clay F. Semenkovich United States
David A. Wagner United States
Daniel Tomé relative to André Marette Canada André Marette's profile →
Citations per field
00.5×1.5×
André Marette · 1×
Citations per year

Countries citing papers authored by Daniel Tomé

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009428
2 2012408
3 2001314
4 2016277
5 2009266
6 2007189
7 2013185
8 2009184
9 2020160
10 2017158
11 2001149
12 2006145
13 2015131
14 2007130
15 2004129
16 2016129
17 2010127
18 2012123
19 2010120
20 2008117

About Daniel Tomé

Daniel Tomé is a scholar working on Physiology, Cell Biology, Nutrition and Dietetics, Molecular Biology and Endocrine and Autonomic Systems, having authored 259 papers that have together received 10.5k indexed citations. Recurring topics across this work include Diet and metabolism studies (77 papers), Muscle metabolism and nutrition (68 papers), Regulation of Appetite and Obesity (37 papers), Biochemical Analysis and Sensing Techniques (30 papers), Clinical Nutrition and Gastroenterology (23 papers), Adipose Tissue and Metabolism (22 papers), Nutritional Studies and Diet (18 papers) and Infant Nutrition and Health (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (977 citations), Physiology (3.1k citations), Nutrition and Dietetics (1.9k citations), Cell Biology (1.6k citations) and Food Science (1.4k citations). Daniel Tomé has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Claire Gaudichon, Cécile Bos, Anne‐Marie Davila, Gilles Fromentin, Robert Benamouzig, François Blachier, Mireille Andriamihaja, Jean‐François Huneau, Patrick C. Even and François Mariotti. Their work appears in journals such as Journal of Nutrition, Physiology & Behavior, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Clinical Nutrition and British Journal Of Nutrition.

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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