F Leprat

690 citations
12 papers · 393 indexed · h-index 8

Impact in

Papers in

F Leprat

11 papers receiving 379 citations

Peers

F Leprat
Comparison fields: 5 of 58
  • Behavioral Neuroscience 82
  • Endocrinology, Diabetes and Metabolism 256
  • Biological Psychiatry 10
  • Social Psychology 48
  • Cancer Research 30
Replace Amanda D. Taylor with:
Amanda D. Taylor United Kingdom
T. Verleun Netherlands
Masahito Katahira Japan
Donald R. Hodges United States
Eleftheria‐Kleio Dermitzaki Greece
Eva Grenbäck Sweden
Anna‐Karin Norlén Sweden
Typhanie Dumontet France
Hiromasa Kobayashi Japan
Matthew Dugan United States
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Citations per field
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Amanda D. Taylor · 1×
Citations per year

Countries citing papers authored by F Leprat

Since Specialization
Citations

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

Fields of papers citing papers by F Leprat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 199193
2 199964
3 199348
4 199843
5 199742
6 199342
7 199041
8
[Papillary microcarcinoma of the thyroid].
199414
9
[Diagnosis of Conn's adenoma. Comparative study of x-ray computed tomography and scintigraphy using 19-noriodocholesterol].
19973
10
[Macronodule associated with bilateral adrenal hyperplasia. A rare misleading cause of primary aldosteronism (two cases)].
19912
11
[Hormonal suppressive therapy of thyroid nodules].
19971
12
[A study of biological and histological criteria of thyroid autoimmunity in diffuse goiters with hyperthyroidism].
19970

About F Leprat

F Leprat is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Molecular Biology and Neurology, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (3 papers), Hormonal Regulation and Hypertension (3 papers), Pituitary Gland Disorders and Treatments (2 papers), DNA Repair Mechanisms (2 papers), Ophthalmology and Eye Disorders (2 papers), Adrenal Hormones and Disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (82 citations), Endocrinology, Diabetes and Metabolism (256 citations), Biological Psychiatry (10 citations), Social Psychology (48 citations) and Cancer Research (30 citations). F Leprat has collaborated with scholars based in France and Italy. Frequent co-authors include Antoine Tabarin, Patrick Roger, D. Ducassou, Stefania Maccari, M. Guyot, Mohamed Kabbaj, Nathalie Valli, Bogdan Catargi, Michel Le Moal and Paola Casolini. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, International Journal of Radiation Oncology*Biology*Physics, Neuroscience and Brain 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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