H Garcin

721 citations
43 papers · 646 · h-index 17

Impact in

Papers in

H Garcin

43 papers receiving 589 citations

Peers

H Garcin
Comparison fields: 5 of 81
  • Biochemistry 135
  • Endocrinology, Diabetes and Metabolism 167
  • Molecular Biology 353
  • Nutrition and Dietetics 72
  • Developmental Neuroscience 17
Replace Mei-Hui Tai with:
Mei-Hui Tai United States
Pauline Béguin France
Christine Heberden France
Tong-Kun Pai United States
Isabel Baiges Spain
Richard J. Schwen United States
Emine Sunal Türkiye
Marı́a Laura Barreiro Arcos Argentina
Xiaohui L. Wang United States
P Popov Czechia
H Garcin relative to Mei-Hui Tai United States Mei-Hui Tai's profile →
Citations per field
00.5×4.3×
Mei-Hui Tai · 1×
Citations per year

Countries citing papers authored by H Garcin

Since Specialization
Citations

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

Fields of papers citing papers by H Garcin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199985
2 199770
3 198838
4 199731
5 200027
6 199726
7 198225
8 198924
9 199323
10 199122
11 199621
12 199520
13 199618
14 199217
15 199016
16 199416
17 199316
18 198414
19 198714
20 197913

About H Garcin

H Garcin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Biochemistry and Genetics, having authored 43 papers that have together received 646 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (20 papers), Thyroid Disorders and Treatments (10 papers), Antioxidant Activity and Oxidative Stress (10 papers), Biochemical effects in animals (6 papers), Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Biochemistry (135 citations), Endocrinology, Diabetes and Metabolism (167 citations), Molecular Biology (353 citations), Nutrition and Dietetics (72 citations) and Developmental Neuroscience (17 citations). H Garcin has collaborated with scholars based in France, Spain and Canada. Frequent co-authors include Paul Higueret, Véronique Pallet, Serge Alfos, Philip A. Spear, M. Ángeles Zulet, Valérie Enderlin, J. Alfredo Martínéz, D. Higueret, A Barber and Robert Jaffard. Their work appears in journals such as British Journal Of Nutrition, Journal of Endocrinology, Annals of Nutrition and Metabolism, FEBS Letters and Canadian Journal of Physiology and Pharmacology.

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.

Explore authors with similar magnitude of impact