F. Lasmoles

930 citations
29 papers · 755 · h-index 13

Impact in

Papers in

F. Lasmoles

29 papers receiving 725 citations

Peers

F. Lasmoles
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 260
  • Endocrinology, Diabetes and Metabolism 99
  • Reproductive Medicine 45
  • Molecular Biology 377
  • Orthopedics and Sports Medicine 39
Replace Gayle M. Waitches with:
Gayle M. Waitches United States
Patrizia Del Monte Italy
Jayaraman Lakshmanan United States
Shunichiro Tsuji Japan
Morris W. Pulliam United States
Eddie M.K. Chung United Kingdom
H F Stirling United Kingdom
J. J. H. Gilkes United Kingdom
Shannon H. Carroll United States
C Pafumi Italy
F. Lasmoles relative to Gayle M. Waitches United States Gayle M. Waitches's profile →
Citations per field
00.5×2.6×
Gayle M. Waitches · 1×
Citations per year

Countries citing papers authored by F. Lasmoles

Since Specialization
Citations

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

Fields of papers citing papers by F. Lasmoles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984198
2 200182
3 200171
4 200467
5 198542
6 199733
7 199933
8 199933
9 198630
10 198727
11 198526
12 198422
13 199118
14 19939
15 19938
16 19848
17 19907
18 19936
19 19946
20 19905

About F. Lasmoles

F. Lasmoles is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 755 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Hypothalamic control of reproductive hormones (8 papers), Receptor Mechanisms and Signaling (7 papers), S100 Proteins and Annexins (3 papers), Fibroblast Growth Factor Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Endocrinology, Diabetes and Metabolism (99 citations), Reproductive Medicine (45 citations), Molecular Biology (377 citations) and Orthopedics and Sports Medicine (39 citations). F. Lasmoles has collaborated with scholars based in France and United States. Frequent co-authors include G. Milhaud, Pierre J. Marie, M.S. Moukhtar, Amandine Jullienne, Abderrahim Lomri, J.M. Guliana, Philippe Delannoy, J Moullec, Hicham Drissi and Stéphane Minvielle. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, Experimental Cell Research, Journal of Histochemistry & Cytochemistry and Neuropeptides.

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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