C. Noblet

27 papers receiving 634 citations

Peers

C. Noblet
Comparison fields: 5 of 63
  • Toxicology 293
  • Geriatrics and Gerontology 70
  • Orthopedics and Sports Medicine 103
  • Pharmacology 49
  • Pharmacology 62
Replace Michele Fusaroli with:
Michele Fusaroli Italy
Sigrid Narum Norway
J. Kopferschmitt France
Ivan T. Borda Canada
D M Newnham United Kingdom
Yueh‐Han Hsu Taiwan
Gail M. Faulkner United Kingdom
Elio Venturini Italy
Ming Hou Taiwan
Eero Tiula Finland
C. Noblet relative to Michele Fusaroli Italy Michele Fusaroli's profile →
Citations per field
00.5×2×4×6×8×9.4×
Michele Fusaroli · 1×
Citations per year

Countries citing papers authored by C. Noblet

Since Specialization
Citations

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

Fields of papers citing papers by C. Noblet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998249
2 2008139
3 1997113
4 200439
5 199528
6 199419
7 199315
8 200915
9 198814
10 199314
11 199514
12 200913
13 19919
14
Severe polyarthropathy in an adolescent treated with pefloxacin.
19917
15 19967
16 19924
17 19902
18 19982
19 19992
20
[Spontaneous hematoma: thoughts about selective serotonin uptake inhibitors].
20002

About C. Noblet

C. Noblet is a scholar working on Toxicology, Orthopedics and Sports Medicine, Surgery, Pharmacology and Geriatrics and Gerontology, having authored 28 papers that have together received 715 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (8 papers), Drug-Induced Adverse Reactions (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Tendon Structure and Treatment (4 papers), Adrenal and Paraganglionic Tumors (3 papers), Hormonal Regulation and Hypertension (2 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Potassium and Related Disorders (2 papers). The work is most often cited by research in Toxicology (293 citations), Geriatrics and Gerontology (70 citations), Orthopedics and Sports Medicine (103 citations), Pharmacology (49 citations) and Pharmacology (62 citations). C. Noblet has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Nicholas D Moore, Isabelle Marié, Christian Thuillez, Nathalie Massy, Michel Ollagnier, Carmen Kreft-Jaïs, Bernard Bégaud, Françoise Haramburu, Michel Andréjak and Hervé Lefèbvre. Their work appears in journals such as The Lancet, British Journal of Clinical Pharmacology, American Journal of Hematology, Journal of the American Academy of Dermatology and Arthritis Care & Research.

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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