F. Lasmoles

982 citations
30 papers · 799 · h-index 14

Impact in

Papers in

F. Lasmoles

30 papers receiving 766 citations

Peers

F. Lasmoles
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 274
  • Endocrinology, Diabetes and Metabolism 116
  • Molecular Biology 425
  • Reproductive Medicine 47
  • Critical Care and Intensive Care Medicine 26
Replace Tomoo Eto with:
Tomoo Eto Japan
Adella Garland United States
Gayle M. Waitches United States
Shu Feng United States
Morris W. Pulliam United States
H F Stirling United Kingdom
A. G. Kasselberg United States
Helen Hilton United Kingdom
J. Chemnitz Denmark
Jayaraman Lakshmanan United States
F. Lasmoles relative to Tomoo Eto Japan Tomoo Eto's profile →
Citations per field
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Tomoo Eto · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984198
2 200182
3 200171
4 200467
5 199944
6 198542
7 199933
8 199933
9 199733
10 198630
11 198727
12 198526
13 198422
14 199118
15 19939
16 19938
17 19848
18 19907
19 19936
20 19946

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 30 papers that have together received 799 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), Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers), S100 Proteins and Annexins (3 papers), Bone health and treatments (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (274 citations), Endocrinology, Diabetes and Metabolism (116 citations), Molecular Biology (425 citations), Reproductive Medicine (47 citations) and Critical Care and Intensive Care Medicine (26 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, J Moullec, Philippe Delannoy, Hicham Drissi and Stéphane Minvielle. Their work appears in journals such as FEBS Letters, Journal of Cellular Biochemistry, Experimental Cell Research, Biochemical and Biophysical Research Communications 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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