A Gérard

1.4k citations
54 papers · 990 · h-index 19

Impact in

Papers in

A Gérard

51 papers receiving 948 citations

Peers

A Gérard
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 461
  • Cancer Research 74
  • Physiology 114
  • Genetics 123
  • Molecular Biology 267
Replace Donald F. Sellitti with:
Donald F. Sellitti United States
Letícia Prates Roma Germany
L. R. Donahue United States
Takafumi Taguchi Japan
Inna Astapova United States
Gregory Gick United States
Kari T. Chambers United States
Katsutoshi Yayama Japan
Mary F. Walsh United States
Marian J. Zuidwijk Netherlands
A Gérard relative to Donald F. Sellitti United States Donald F. Sellitti's profile →
Citations per field
00.5×1.5×1.8×
Donald F. Sellitti · 1×
Citations per year

Countries citing papers authored by A Gérard

Since Specialization
Citations

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

Fields of papers citing papers by A Gérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 201385
3 200381
4 201868
5 200248
6 200547
7 201046
8 201443
9 200933
10 200432
11 200931
12 201031
13 200929
14 200629
15 200829
16 201123
17 200821
18 198218
19 201318
20 202218

About A Gérard

A Gérard is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Physiology and Genetics, having authored 54 papers that have together received 990 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (12 papers), Cancer, Hypoxia, and Metabolism (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Pancreatitis Pathology and Treatment (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Redox biology and oxidative stress (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and High Altitude and Hypoxia (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (461 citations), Cancer Research (74 citations), Physiology (114 citations), Genetics (123 citations) and Molecular Biology (267 citations). A Gérard has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Ides M. Colin, Marie‐Christine Many, Sylvie Poncin, Jean‐François Denef, Benoît Lengelé, Bernard Knoops, Maximin Sènou, Chantal Daumerie, Isabelle Pâris and Jean‐Nicolas Audinot. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, Endocrinology, American Journal Of Pathology and American Journal of Physiology-Endocrinology and Metabolism.

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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