F. Nantel

3.4k citations
77 papers · 2.7k indexed · h-index 27
Topics
Rheumatoid Arthritis Research and Therapies (24 papers)Receptor Mechanisms and Signaling (20 papers)Neuropeptides and Animal Physiology (18 papers)
Journals
NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología

In The Last Decade

F. Nantel

75 papers receiving 2.7k citations

Peers

F. Nantel
Comparison fields: 5 of 113
  • Molecular Biology 1.2k
  • Physiology 673
  • Cellular and Molecular Neuroscience 592
  • Pharmacology 453
  • Immunology 350
Replace Kiyoshi Furuichi with:
Kiyoshi Furuichi Japan
Motonao Nakamura Japan
Takanobu Taniguchi Japan
Ichiro Tatsuno Japan
Danièle Daviaud France
Pascal Peraldi France
Robert Langenbach United States
Ilka Nemere United States
David F. Woodward United States
J Lindner United States
F. Nantel relative to Kiyoshi Furuichi Japan Kiyoshi Furuichi's profile →
Citations per field
00.5×2.9×
Kiyoshi Furuichi · 1×
Citations per year

Countries citing papers authored by F. Nantel

Since Specialization
Citations

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

Fields of papers citing papers by F. Nantel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Nantel

This figure shows the co-authorship network connecting the top 25 collaborators of F. Nantel. A scholar is included among the top collaborators of F. Nantel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Nantel. F. Nantel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 8
5
Persistence to subcutaneous biological agents in Hungarian patients treated for inflammatory arthritis
0
6 4
7 6
8 22
9 33
10 12
11 23
12 37
13 5
14 67
15 61
16 98
17 287
18 33
19 23
20 42

About F. Nantel

F. Nantel is a scholar working on Rheumatology, Genetics and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 2.7k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (24 papers), Receptor Mechanisms and Signaling (20 papers) and Neuropeptides and Animal Physiology (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (592 citations), Reproductive Medicine (265 citations) and Pharmacology (453 citations). F. Nantel has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Kathleen M. Metters, Danielle Denis, D. Regoli, Michel Bouvier, N. Rouissi, Paolo Sassone‐Corsi, Nicholas S. Foulkes, Lucia Monaco, Kenth Henriksén and Marianne LeMeur. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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