Romain Guyot

972 citations
23 papers · 435 · h-index 12

Impact in

Papers in

Romain Guyot

21 papers receiving 431 citations

Peers

Romain Guyot
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 220
  • Endocrine and Autonomic Systems 35
  • Behavioral Neuroscience 11
  • Genetics 86
  • Health, Toxicology and Mutagenesis 35
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Pilar Gil-Ibáñez Spain
Hajer Guissouma France
Amrita Pathak United States
Aigerim Bizhanova United States
S Stone United States
Patrick Leduque France
Pieter Vancamp France
Nick A. Guagliardo United States
Sining Leng United States
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Citations per field
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Citations per year

Countries citing papers authored by Romain Guyot

Since Specialization
Citations

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

Fields of papers citing papers by Romain Guyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 201450
3 201549
4 202029
5 202229
6 201727
7 201223
8 200422
9 202019
10 201019
11 201718
12 202114
13 202211
14 20227
15 20236
16 20223
17 20243
18 20233
19 20253
20 20211

About Romain Guyot

Romain Guyot is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Health, Toxicology and Mutagenesis and Physiology, having authored 23 papers that have together received 435 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Genomics and Chromatin Dynamics (3 papers), Adipose Tissue and Metabolism (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), interferon and immune responses (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), RNA modifications and cancer (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (220 citations), Endocrine and Autonomic Systems (35 citations), Behavioral Neuroscience (11 citations), Genetics (86 citations) and Health, Toxicology and Mutagenesis (35 citations). Romain Guyot has collaborated with scholars based in France, China and Germany. Frequent co-authors include Frédéric Flamant, Fabrice Chatonnet, G Benoît, Benjamin Gillet, Sandrine Hughes, Sabine Richard, Karine Gauthier, Denise Aubert, Jacques Samarut and Suzy Markossian. Their work appears in journals such as Endocrinology, iScience, Proceedings of the National Academy of Sciences, Thyroid and Molecular and Cellular Endocrinology.

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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