F. Galland

867 citations
26 papers · 547 · h-index 12

Impact in

Papers in

F. Galland

23 papers receiving 521 citations

Peers

F. Galland
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 276
  • Epidemiology 117
  • Genetics 36
  • Reproductive Medicine 22
  • Surgery 108
Replace Tina Kienitz with:
Tina Kienitz Germany
Eun Shil Hong South Korea
Christin Spielhagen Germany
Tadashi Arao Japan
Mehmet Çalan Türkiye
Yin-ling Chen China
Adriana Cimponeriu Greece
Karin Salzmann Austria
Beatrice Lupsa United States
Koen Verdonk Netherlands
F. Galland relative to Tina Kienitz Germany Tina Kienitz's profile →
Citations per field
00.5×2.8×
Tina Kienitz · 1×
Citations per year

Countries citing papers authored by F. Galland

Since Specialization
Citations

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

Fields of papers citing papers by F. Galland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 2006117
3 200356
4 200642
5 201541
6 201133
7 200930
8 200620
9 200615
10 200414
11
[Palindromic rheumatism. Immunologic survey and study of development in 43 cases].
198712
12 200911
13 20066
14 20144
15 20093
16 20093
17
[Effects of low, normal and high sodium diet on antidiuretic hormone and prolactin (author's transl)].
19802
18 20092
19 20092
20 20032

About F. Galland

F. Galland is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health, Surgery and Molecular Biology, having authored 26 papers that have together received 547 indexed citations. Recurring topics across this work include Aging, Elder Care, and Social Issues (3 papers), Health, Medicine and Society (3 papers), Schizophrenia research and treatment (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Psychoanalysis and Psychopathology Research (2 papers), Mental Health and Psychiatry (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (276 citations), Epidemiology (117 citations), Genetics (36 citations), Reproductive Medicine (22 citations) and Surgery (108 citations). F. Galland has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Philippe Chanson, Laurence Duvillard, Philippe Gambert, Bruno Vergès, Sylvie Salenave, E Florentin, Christine Cortet‐Rudelli, Gérald Raverot, Frédéric Castinetti and Jean Michel Petit. Their work appears in journals such as L Encéphale, Fertility and Sterility, The Journal of Clinical Endocrinology & Metabolism, IEEE Transactions on Image Processing and European Journal of Clinical Investigation.

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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