Frank Tallet

1.1k citations
27 papers · 414 indexed · h-index 12

Impact in

Papers in

Frank Tallet

27 papers receiving 398 citations

Peers

Frank Tallet
Comparison fields: 5 of 96
  • Clinical Biochemistry 45
  • Endocrinology, Diabetes and Metabolism 76
  • Biochemistry 27
  • Pharmacology 65
  • Physiology 85
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T. Otamiri Sweden
Manya Warrier United States
Hakan Dursun Türkiye
Ahmed Al-Shukaili Oman
J.‐P. De Bandt France
Kazuo Mimura Japan
Sung‐Eun Kong Australia
Haiyan Min China
Tarek M. Ali Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Frank Tallet

Since Specialization
Citations

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

Fields of papers citing papers by Frank Tallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201125
2 201014
3 2010114
4 20109
5 200958
6 200857
7 19986
8 199711
9 199610
10 199416
11 19933
12 198911
13 19883
14 198812
15
Measurement of total, monomeric and polymeric IgA in human faeces by electroimmunodiffusion.
198719
16 19871
17
[Algodystrophy and metabolic abnormalities].
19831
18 19821
19
[Algodystrophy and metabolic anomalies].
19821
20
[Enzyme-immuno assay for total estrogens and human placental lactogen. Comparison with radio-immuno-assay in normal pregnancy-monitoring (author's transl)].
19812

About Frank Tallet

Frank Tallet is a scholar working on Orthopedics and Sports Medicine, Gastroenterology, Biochemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 27 papers that have together received 414 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Bone and Joint Diseases (4 papers), Lipid metabolism and disorders (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Analytical Chemistry and Chromatography (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Orthopedic Infections and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Endocrinology, Diabetes and Metabolism (76 citations), Biochemistry (27 citations), Pharmacology (65 citations) and Physiology (85 citations). Frank Tallet has collaborated with scholars based in France, Italy and Réunion. Frequent co-authors include Philippe Rondeau, Régis Roche, Laurence Hoareau, Maya Césari, Palaniyandi Ravanan, Franck Festy, Karima Bencharif, D Raichvarg, H Caillens and Nihar Ranjan Singh. Their work appears in journals such as Clinica Chimica Acta, Journal of Inflammation, Anesthesia & Analgesia, Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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