F. Morel

26 papers receiving 210 citations

Peers

F. Morel
Comparison fields: 5 of 75
  • Clinical Biochemistry 24
  • Infectious Diseases 54
  • Cancer Research 29
  • Endocrinology, Diabetes and Metabolism 29
  • Epidemiology 58
Replace V. Spagnolo with:
V. Spagnolo Italy
Jared S. Farrar United States
Qingkui Jiang United States
Qinqin Wu China
Lawrence Greed Australia
Matthias Hagner Germany
Naoya Ichimura Japan
Changbo Qu Netherlands
M. J. Ross United States
Giovana Lótici Baggio-Zappia Brazil
F. Morel relative to V. Spagnolo Italy V. Spagnolo's profile →
Citations per field
00.5×5.3×
V. Spagnolo · 1×
Citations per year

Countries citing papers authored by F. Morel

Since Specialization
Citations

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

Fields of papers citing papers by F. Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201441
2 201237
3 202120
4 201419
5 200114
6 197013
7 201812
8 202112
9 202011
10 20225
11
[Action of some oxytocin analogues on different receptors intervening in the osmoregulation of Rana esculenta].
19605
12
[Indirect method for determining thyroid function in the rat].
19544
13
Description of Argas hoogstraali n. sp. from Madagascar (Acari, Ixodoidea)
19653
14 20153
15 20203
16 20133
17 20213
18 20223
19 19653
20
[COMMON ENDOCRINE MECHANISMS OF OSMOREGULATION IN VERTEBRATES].
19961

About F. Morel

F. Morel is a scholar working on Infectious Diseases, Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 30 papers that have together received 222 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (8 papers), Infectious Diseases and Tuberculosis (5 papers), Neuroendocrine regulation and behavior (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Study of Mite Species (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Clinical Biochemistry (24 citations), Infectious Diseases (54 citations), Cancer Research (29 citations), Endocrinology, Diabetes and Metabolism (29 citations) and Epidemiology (58 citations). F. Morel has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Alexandra Aubry, Wladimir Sougakoff, Michèle Fonfrède, Carole E. Aubert, Olivier Bourron, Pablo Michel, B. Simon, Frédéric Ezan, Georges Baffet and A. Hartemann. Their work appears in journals such as ˜The œNephron journals/Nephron journals, Emerging infectious diseases, British Journal of Cancer, Clinical Microbiology and Infection and American Journal of Physiology-Legacy Content.

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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