M.C. Garel

984 citations
28 papers · 764 · h-index 16

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Hemoglobin structure and function

Papers in

    • Hemoglobinopathies and Related Disorders 17
    • Hemoglobin structure and function 18

M.C. Garel

28 papers receiving 726 citations

Peers

M.C. Garel
Comparison fields: 5 of 63
  • Genetics 399
  • Cell Biology 303
  • Hematology 172
  • Biochemistry 85
  • Physiology 282
Replace Jean Rosa with:
Jean Rosa France
Nicole Arous France
Suzanna Kwong United States
Winston F. Moo-Penn United States
Raymonde Rosa France
Joseph R. Shaeffer United States
Marsha E. Gravely United States
Stephen M. Waugh United States
Helen R. Sunshine United States
Catherine Korsgren United States
M.C. Garel relative to Jean Rosa France Jean Rosa's profile →
Citations per field
00.5×2×4×6.5×
Jean Rosa · 1×
Citations per year

Countries citing papers authored by M.C. Garel

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Garel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Garel. 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 M.C. Garel. The network helps show where M.C. Garel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991105
2 198693
3 198081
4 198670
5 198945
6 198643
7 197240
8 197531
9 198425
10 197623
11 198922
12 197519
13 198819
14 198818
15 197416
16 197616
17 197415
18 197612
19 199411
20 19769

About M.C. Garel

M.C. Garel is a scholar working on Genetics, Cell Biology, Physiology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 28 papers that have together received 764 indexed citations. Recurring topics across this work include Hemoglobin structure and function (18 papers), Hemoglobinopathies and Related Disorders (17 papers), Erythrocyte Function and Pathophysiology (14 papers), Neonatal Health and Biochemistry (5 papers), Enzyme Structure and Function (4 papers), Iron Metabolism and Disorders (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Genetics (399 citations), Cell Biology (303 citations), Hematology (172 citations), Biochemistry (85 citations) and Physiology (282 citations). M.C. Garel has collaborated with scholars based in France, United States and Senegal. Frequent co-authors include Yves Beuzard, J. Rosa, Y. Blouquit, Chantal Domenget, Nicole Arous, P Rouyer-Fessard, Martine Esther Cohen-Solal, Claude Préhu, F. Galactéros and Paul‐Henri Roméo. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, The EMBO Journal, Proceedings of the National Academy of Sciences and Molecular 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.

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