I Rafecas

32 papers receiving 500 citations

Peers

I Rafecas
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 132
  • Nutrition and Dietetics 151
  • Physiology 239
  • Cell Biology 94
  • Clinical Biochemistry 34
Replace Véronique Mathé with:
Véronique Mathé France
Dominique Sabourault France
J. Kandé France
Paul U. Dubuc United States
J-P Giacobino Switzerland
Marc Chanez France
V. Godbole United Kingdom
Hitoshi Nishioka Japan
Jean Peret France
T. Umekawa Japan
I Rafecas relative to Véronique Mathé France Véronique Mathé's profile →
Citations per field
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Citations per year

Countries citing papers authored by I Rafecas

Since Specialization
Citations

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

Fields of papers citing papers by I Rafecas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside I Rafecas, 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 I Rafecas Line = papers co-authored together I Rafecas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998127
2 199756
3
Nitrogen balances of lean and obese Zucker rats subjected to a cafeteria diet.
199237
4 199430
5 199823
6 199521
7 199320
8 199319
9 199419
10
Deposition of dietary fatty acids in young Zucker rats fed a cafeteria diet.
199219
11
Plasma amino acids of lean and obese Zucker rats subjected to a cafeteria diet after weaning.
199116
12
Nitrogen balance discrepancy in Wistar rats fed a cafeteria diet.
199213
13 199312
14 199212
15 199012
16 198810
17 19939
18 19949
19
Dietary amino acid balances in young Wistar rats fed a cafeteria diet.
19939
20 19957

About I Rafecas

I Rafecas is a scholar working on Physiology, Cell Biology, Nutrition and Dietetics, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 33 papers that have together received 523 indexed citations. Recurring topics across this work include Diet and metabolism studies (18 papers), Muscle metabolism and nutrition (15 papers), Adipose Tissue and Metabolism (13 papers), Regulation of Appetite and Obesity (7 papers), Fatty Acid Research and Health (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Clinical Nutrition and Gastroenterology (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (132 citations), Nutrition and Dietetics (151 citations), Physiology (239 citations), Cell Biology (94 citations) and Clinical Biochemistry (34 citations). I Rafecas has collaborated with scholars based in Spain. Frequent co-authors include Xavier Remesar, M. Alemany, José–Antonio Fernández–Löpez, Montserrat Esteve, J. Virgili, Rosario Pardo, Josep M. Argilés, R Vilà, Anna Ardèvol and Xavier Cañas. Their work appears in journals such as Molecular and Cellular Biochemistry, British Journal Of Nutrition, Archives of Physiology and Biochemistry, Endocrinology and International Journal of Food Sciences and 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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