F. Cattin

2.4k citations
67 papers · 1.3k · h-index 19

Impact in

Papers in

F. Cattin

65 papers receiving 1.2k citations

Peers

F. Cattin
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 335
  • Neurology 230
  • Genetics 107
  • Epidemiology 299
  • Pathology and Forensic Medicine 139
Replace Taher El Gammal with:
Taher El Gammal United States
Lanning B. Kline United States
Arthur J. Ulm United States
W. Wichmann Switzerland
Fabrice Bonneville France
Paul W. Brazis United States
Paolo Missori Italy
G.A.B. Davies-Jones United Kingdom
W. Eugene Stern United States
Nicholas J. Volpe United States
F. Cattin relative to Taher El Gammal United States Taher El Gammal's profile →
Citations per field
00.5×4.8×
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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013186
2 1996183
3 2006107
4 199053
5 200348
6 200640
7 199334
8 198831
9 198331
10
Dynamic CT of the laterosellar extradural venous spaces.
198928
11 198326
12 198226
13 199624
14 199423
15
Preoperative location of the pituitary bright spot in patients with pituitary macroadenomas.
200222
16 200821
17 201521
18 201420
19 201420
20 198618

About F. Cattin

F. Cattin is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (26 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Glioma Diagnosis and Treatment (7 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Meningioma and schwannoma management (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (335 citations), Neurology (230 citations), Genetics (107 citations), Epidemiology (299 citations) and Pathology and Forensic Medicine (139 citations). F. Cattin has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jean‐François Bonneville, Pierre‐Yves Risold, Henri M. Duvernoy, Thierry Moulin, Fabrice Bonneville, Jean‐Louis Dietemann, Laurent Tatu, Michel Piotin, J. Chiras and L. Rumbach. Their work appears in journals such as Neuroradiology, American Journal of Neuroradiology, Journal of Neuroradiology, Radiology and Radiographics.

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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