Daniel Tomé

4.3k citations
55 papers · 3.3k · 1 hit paper · h-index 25

Impact in

Papers in

Daniel Tomé

54 papers receiving 3.2k citations

Daniel Tomé's Hit Papers

Converting Nitrogen into Protein—Beyond 6.25 and Jones' Factors 2008 · 1.0k citations
1.0k0+6+12Years since publication2505007501000

Peers

Daniel Tomé
Comparison fields: 5 of 136
  • Nutrition and Dietetics 763
  • Cell Biology 569
  • Food Science 606
  • Physiology 704
  • Animal Science and Zoology 302
Replace G. Schaafsma with:
G. Schaafsma Netherlands
Philippe Patureau Mirand France
Didier Rémond France
François Blachier France
Gabriele I. Stangl Germany
Ting He China
Donald C. Beitz United States
Claire Gaudichon France
Fengna Li China
Jian Peng China
Daniel Tomé relative to G. Schaafsma Netherlands G. Schaafsma's profile →
Citations per field
00.5×1.5×2.4×
G. Schaafsma · 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 55 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 →
20081048
2 2008261
3 2003219
4 2014153
5 2004143
6 2018105
7 2006100
8 200990
9 200089
10 200687
11 199287
12 200680
13 200565
14 200053
15 200252
16 200051
17 200245
18 201738
19 200438
20 199536

About Daniel Tomé

Daniel Tomé is a scholar working on Nutrition and Dietetics, Molecular Biology, Physiology, Cell Biology and Genetics, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (12 papers), Diet and metabolism studies (10 papers), Infant Nutrition and Health (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Adipose Tissue and Metabolism (6 papers), Digestive system and related health (5 papers), Clinical Nutrition and Gastroenterology (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Nutrition and Dietetics (763 citations), Cell Biology (569 citations), Food Science (606 citations), Physiology (704 citations) and Animal Science and Zoology (302 citations). Daniel Tomé has collaborated with scholars based in France, Morocco and Niger. Frequent co-authors include François Mariotti, Philippe Patureau Mirand, Cécile Bos, Donald K. Layman, D. J. Millward, G. Schaafsma, Gilles Fromentin, Claire Gaudichon, Robert Benamouzig and Marie‐Noëlle Maillard. Their work appears in journals such as Journal of Nutrition, American Journal of Clinical Nutrition, Current Developments in Nutrition, Pediatric Research and Appetite.

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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