Jérôme Bertherat

37.0k citations
427 papers · 17.6k indexed · 3 hit papers · h-index 73

Impact in

Papers in

Jérôme Bertherat

403 papers receiving 17.4k citations

Hit Papers

Clinical Biology of the Pituitary Adenoma 2022 · 157 citations
1572010202620152020100200300400500

Peers

Jérôme Bertherat
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 9.8k
  • Cancer Research 6.9k
  • Surgery 10.5k
  • Genetics 1.8k
  • Neurology 1.5k
Replace Martin Faßnacht with:
Martin Faßnacht Germany
Xavier Bertagna France
Karel Pacák United States
Massimo Terzolo Italy
Massimo Mannelli Italy
Bruce G. Robinson Australia
Gary D. Hammer United States
Laurence Amar France
Lionel Groussin France
Patricia L. M. Dahia United States
Jérôme Bertherat relative to Martin Faßnacht Germany Martin Faßnacht's profile →
Citations per field
00.5×1.6×
Martin Faßnacht · 1×
Citations per year

Countries citing papers authored by Jérôme Bertherat

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Bertherat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20231
4 202223
5 202129
6 201899
7 201883
8 201037
9 2010114
10 201025
11 2010117
12 200936
13 2009278
14 2009138
15 200961
16 2008207
17 200863
18 200851
19 200680
20 2006156

About Jérôme Bertherat

Jérôme Bertherat is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 427 papers that have together received 17.6k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (222 papers), Pituitary Gland Disorders and Treatments (182 papers), Cancer, Hypoxia, and Metabolism (124 papers), Hormonal Regulation and Hypertension (86 papers), Cardiac tumors and thrombi (67 papers), Adrenal Hormones and Disorders (57 papers), Growth Hormone and Insulin-like Growth Factors (45 papers) and Glioma Diagnosis and Treatment (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (9.8k citations), Cancer Research (6.9k citations), Surgery (10.5k citations), Genetics (1.8k citations) and Neurology (1.5k citations). Jérôme Bertherat has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Xavier Bertagna, Lionel Groussin, Rossella Libé, Frédérique Tissier, Anne‐Paule Gimenez‐Roqueplo, Guillaume Assié, Bruno Ragazzon, Nelly Burnichon, Constantine A. Stratakis and Laurence Guignat. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Endocrine Related Cancer, Molecular and Cellular Endocrinology and Hormone and Metabolic Research.

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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