Daniel Tomé

1.7k citations
23 papers · 1.3k · h-index 16

Impact in

Papers in

    • Diet and metabolism studies 9
    • Nutrition and Health in Aging 3
    • Adipose Tissue and Metabolism 2
    • Muscle metabolism and nutrition 7

Daniel Tomé

23 papers receiving 1.2k citations

Peers

Daniel Tomé
Comparison fields: 5 of 97
  • Cell Biology 297
  • Physiology 424
  • Nutrition and Dietetics 239
  • Food Science 232
  • Animal Science and Zoology 130
Replace Gheorghe Airinei with:
Gheorghe Airinei France
Linda J. Brady United States
Olivier Ballèvre Switzerland
Nadezda Khodorova France
Isabelle Savary‐Auzeloux France
Jill A. Parnell Canada
Kanishka N. Nilaweera Ireland
Fabienne De Backer Belgium
Pablo Christiano Barboza Lollo Brazil
Nicolas Gausserès France
Daniel Tomé relative to Gheorghe Airinei France Gheorghe Airinei's profile →
Citations per field
00.5×1.5×
Gheorghe Airinei · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006365
2 2017190
3 1996187
4 199992
5 199962
6 200658
7 200352
8 199543
9 199439
10 198930
11 200226
12 200325
13 199522
14 200722
15 200720
16 200517
17 20118
18 20058
19 20196
20 20135

About Daniel Tomé

Daniel Tomé is a scholar working on Physiology, Cell Biology, Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Endocrine and Autonomic Systems, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (9 papers), Muscle metabolism and nutrition (7 papers), Nutritional Studies and Diet (4 papers), Clinical Nutrition and Gastroenterology (4 papers), Nutrition and Health in Aging (3 papers), Adipose Tissue and Metabolism (2 papers), Digestive system and related health (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cell Biology (297 citations), Physiology (424 citations), Nutrition and Dietetics (239 citations), Food Science (232 citations) and Animal Science and Zoology (130 citations). Daniel Tomé has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Francois F. Blachier, François Mariotti, Jean‐François Huneau, Robert Benamouzig, Catherine Luengo, J Rautureau, Sophie Mahè, Nils Roos, Sylvain Mahé and Claire Gaudichon. Their work appears in journals such as Journal of Nutrition, British Journal Of Nutrition, The FASEB Journal, American Journal of Clinical Nutrition and Biochemical and Biophysical Research Communications.

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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