Daniel Tomé

507 papers receiving 20.8k citations

Daniel Tomé's Hit Papers

The impact of climate change on food systems, diet quality, nutrition, and health outcomes: A narrative review 2022 · 125 citations
1250+6+12Years since publication2505007501k

Peers

Daniel Tomé
Comparison fields: 5 of 177
  • Endocrine and Autonomic Systems 2k
  • Animal Science and Zoology 1.9k
  • Nutrition and Dietetics 2.6k
  • Food Science 3.5k
  • Cell Biology 2.5k
Replace Rui Curi with:
Rui Curi Brazil
Rémy Burcelin France
Patrice D. Cani Belgium
Yulong Yin China
Karine Clément France
Nathalie M. Delzenne Belgium
Bart Staels France
Clay F. Semenkovich United States
Christopher B. Newgard United States
Guoyao Wu United States
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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 527 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Converting Nitrogen into Protein—Beyond 6.25 and Jones' Factors
Hit paper breakdown →
20081131
2 2009461
3 2012440
4 2006382
5 2001335
6 2016305
7 2008286
8 2009282
9 2013267
10 2003229
11 2016226
12 1996211
13 2017211
14 2017199
15 2007198
16 2013197
17 2009186
18
Systematic review and meta‐analysis of protein intake to support muscle mass and function in healthy adults
Hit paper breakdown →
2022182
19 2020178
20 2017176

About Daniel Tomé

Daniel Tomé is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Food Science, Nutrition and Dietetics and Animal Science and Zoology, having authored 527 papers that have together received 21.8k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (117 papers), Regulation of Appetite and Obesity (87 papers), Protein Hydrolysis and Bioactive Peptides (49 papers), Animal Nutrition and Physiology (47 papers), Food and Agricultural Sciences (43 papers), Agricultural safety and regulations (32 papers), Diet, Metabolism, and Disease (31 papers) and Proteins in Food Systems (24 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2k citations), Animal Science and Zoology (1.9k citations), Nutrition and Dietetics (2.6k citations), Food Science (3.5k citations) and Cell Biology (2.5k citations). Daniel Tomé has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include François Mariotti, François Blachier, Claire Gaudichon, Cécile Bos, Jean‐François Huneau, Robert Benamouzig, Gilles Fromentin, Philippe Patureau Mirand, Patrick C. Even and Anne‐Marie Davila. Their work appears in journals such as Journal of Nutrition, EFSA Journal, American Journal of Clinical Nutrition, British Journal Of Nutrition and Physiology & Behavior.

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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