F. Clémente

690 citations
33 papers · 614 · h-index 16

Impact in

Papers in

    • Fibroblast Growth Factor Research 6
    • Metabolism, Diabetes, and Cancer 4
    • Receptor Mechanisms and Signaling 3
    • Pancreatic function and diabetes 13
    • Pancreatitis Pathology and Treatment 5

F. Clémente

32 papers receiving 563 citations

Peers

F. Clémente
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 109
  • Surgery 235
  • Oncology 109
  • Molecular Biology 294
  • Endocrinology, Diabetes and Metabolism 66
Replace A. Estival with:
A. Estival France
Odette Morin France
J.L. Scemama France
M.J. Bastié France
Joseph W. Yang United States
Jenny Flygare Sweden
Kevin Wroblewski United States
Anthony Baurand France
A. Laatsch Germany
Katrina Mackay United States
F. Clémente relative to A. Estival France A. Estival's profile →
Citations per field
00.5×2×3×4×
A. Estival · 1×
Citations per year

Countries citing papers authored by F. Clémente

Since Specialization
Citations

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

Fields of papers citing papers by F. Clémente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198146
2 199643
3 197141
4 197238
5 197536
6 197532
7 198330
8
Lipid-dependent proliferation of pancreatic cancer cell lines.
199130
9 197128
10 200126
11 200325
12 198125
13 198624
14 199323
15 200019
16 197916
17 198415
18 199915
19 199215
20 200413

About F. Clémente

F. Clémente is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 614 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Fibroblast Growth Factor Research (6 papers), Neuropeptides and Animal Physiology (6 papers), Pancreatitis Pathology and Treatment (5 papers), Diet, Metabolism, and Disease (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (109 citations), Surgery (235 citations), Oncology (109 citations), Molecular Biology (294 citations) and Endocrinology, Diabetes and Metabolism (66 citations). F. Clémente has collaborated with scholars based in France, United States and Italy. Frequent co-authors include A. Estival, A Ribet, Catherine Figarella, Nicole Vaysse, Jacopo Meldolesi, E Hollande, Odette Guy, Alain De, Lucien Pradayrol and Pascal Clerc. Their work appears in journals such as International Journal of Cancer, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Pancreas and Biochemical Journal.

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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