S. Hescot

1.6k citations
48 papers · 604 indexed · h-index 15

Impact in

Papers in

S. Hescot

43 papers receiving 599 citations

Peers

S. Hescot
Comparison fields: 5 of 63
  • Cancer Research 222
  • Endocrinology, Diabetes and Metabolism 233
  • Nephrology 58
  • Oncology 191
  • Surgery 285
Replace Matti L. Gild with:
Matti L. Gild Australia
Sylwia Szpak‐Ulczok Poland
Angelo Giovanni Bonadio Italy
Tricia A. Moo‐Young United States
Quan-Yang Duh United States
Sheila Lindsay United States
Rita Domingues Portugal
Kate E Lines United Kingdom
Jingqiang Zhu China
Milan Mangeshkar United States
S. Hescot relative to Matti L. Gild Australia Matti L. Gild's profile →
Citations per field
00.5×3.2×
Matti L. Gild · 1×
Citations per year

Countries citing papers authored by S. Hescot

Since Specialization
Citations

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

Fields of papers citing papers by S. Hescot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 201972
3 201862
4 202032
5 201728
6 201527
7 201822
8 202122
9 201421
10 202321
11 201919
12 201716
13 201416
14 202115
15 201815
16 202214
17 201713
18 202113
19 202012
20 201812

About S. Hescot

S. Hescot is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics, Neurology and Oncology, having authored 48 papers that have together received 604 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Neuroendocrine Tumor Research Advances (8 papers), Hormonal Regulation and Hypertension (7 papers), Lung Cancer Research Studies (7 papers), Pituitary Gland Disorders and Treatments (7 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Cancer Research (222 citations), Endocrinology, Diabetes and Metabolism (233 citations), Nephrology (58 citations), Oncology (191 citations) and Surgery (285 citations). S. Hescot has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Éric Baudin, Sophie Leboulleux, Marc Lombès, Julien Hadoux, Séverine Trabado, Angélo Paci, Jacques Young, A. Berdelou, Martin Schlumberger and Delphine Loirat. Their work appears in journals such as Annals of Oncology, Hormones and Cancer, JCO Precision Oncology, Endocrine Related Cancer and The Journal of Clinical Endocrinology & 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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