F. Cattin

2.4k citations
92 papers · 1.4k · h-index 21

Impact in

Papers in

F. Cattin

84 papers receiving 1.3k citations

Peers

F. Cattin
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 406
  • Neurology 272
  • Genetics 130
  • Epidemiology 341
  • Pathology and Forensic Medicine 165
Replace Taher El Gammal with:
Taher El Gammal United States
Lanning B. Kline United States
Arthur J. Ulm United States
Lothar Resch Canada
Anat Kesler Israel
W. Wichmann Switzerland
Paul W. Brazis United States
Eric Eggenberger United States
Sang‐il Suh South Korea
Fabrice Bonneville France
F. Cattin relative to Taher El Gammal United States Taher El Gammal's profile →
Citations per field
00.5×2×3×4×4.8×
Taher El Gammal · 1×
Citations per year

Countries citing papers authored by F. Cattin

Since Specialization
Citations

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

Fields of papers citing papers by F. Cattin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996204
2 2013197
3 2006129
4 199053
5 200352
6 200649
7 198340
8 199338
9 198234
10 198833
11
Dynamic CT of the laterosellar extradural venous spaces.
198931
12 199429
13 198327
14 201526
15 199625
16 198625
17 200822
18
Preoperative location of the pituitary bright spot in patients with pituitary macroadenomas.
200222
19 201421
20 199721

About F. Cattin

F. Cattin is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (38 papers), Glioma Diagnosis and Treatment (12 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Meningioma and schwannoma management (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Adrenal and Paraganglionic Tumors (7 papers), Cerebrospinal fluid and hydrocephalus (6 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Neurology (272 citations), Genetics (130 citations), Epidemiology (341 citations) and Pathology and Forensic Medicine (165 citations). F. Cattin has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jean‐François Bonneville, Henri M. Duvernoy, Pierre‐Yves Risold, Thierry Moulin, Fabrice Bonneville, Jean‐Louis Dietemann, Michel Piotin, Laurent Tatu, J. Chiras and L. Rumbach. Their work appears in journals such as Neuroradiology, Journal of Neuroradiology, American Journal of Neuroradiology, Radiology and American Journal of Roentgenology.

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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