S. Hescot

1.7k citations
61 papers · 1.3k · h-index 20

Impact in

Papers in

S. Hescot

54 papers receiving 1.2k citations

Peers

S. Hescot
Comparison fields: 5 of 67
  • Cancer Research 374
  • Endocrinology, Diabetes and Metabolism 368
  • Surgery 591
  • Oncology 301
  • Genetics 101
Replace Adam Stenman with:
Adam Stenman Sweden
Dina M. Elaraj United States
Taylor C. Brown United States
Maria João Bugalho Portugal
Patsy S. H. Soon Australia
Dietmar Simon Germany
Šárka Dvořáková Czechia
Anthony Robert Glover Australia
Cathérine De Micco France
Mauro Papotti Italy
S. Hescot relative to Adam Stenman Sweden Adam Stenman's profile →
Citations per field
00.5×1.5×
Adam Stenman · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019143
2 2018109
3 201398
4 201983
5 201380
6 201869
7 201366
8 202040
9 201831
10 201730
11 201328
12 202128
13 201528
14 201827
15 201825
16 202323
17 201422
18 202121
19 201421
20 201920

About S. Hescot

S. Hescot is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Oncology and Neurology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (21 papers), Neuroendocrine Tumor Research Advances (13 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Neuroblastoma Research and Treatments (6 papers), Lung Cancer Research Studies (5 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Cancer Research (374 citations), Endocrinology, Diabetes and Metabolism (368 citations), Surgery (591 citations), Oncology (301 citations) and Genetics (101 citations). S. Hescot has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Éric Baudin, Sophie Leboulleux, Marc Lombès, Julien Hadoux, Angélo Paci, Séverine Trabado, Delphine Loirat, Jacques Young, Martin Jean Schlumberger and Christophe Le Tourneau. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Cancer, Endocrine Related Cancer, Annals of Oncology and JCO Precision Oncology.

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