Franck Ceppa

47 papers receiving 346 citations

Peers

Franck Ceppa
Comparison fields: 5 of 88
  • Pharmacology 73
  • Occupational Therapy 17
  • Endocrinology, Diabetes and Metabolism 51
  • Cardiology and Cardiovascular Medicine 67
  • Computational Theory and Mathematics 37
Replace Koichiro Atsuda with:
Koichiro Atsuda Japan
Bhavna Solanki United States
Mohammad Abbasinazari Iran
Parloop Bhatt India
Jean‐Louis Démolis France
Andrew Downie United Kingdom
Toru Hiyoshi Japan
Christopher R. Curtin United States
Ganapathi Bantwal India
Foster United Kingdom
Franck Ceppa relative to Koichiro Atsuda Japan Koichiro Atsuda's profile →
Citations per field
00.5×5.3×
Koichiro Atsuda · 1×
Citations per year

Countries citing papers authored by Franck Ceppa

Since Specialization
Citations

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

Fields of papers citing papers by Franck Ceppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200456
2 200537
3 200033
4 201429
5 201422
6 201617
7 201017
8 200712
9 200811
10
[The usefulness of adenosine deaminase determination in biological fluids for tuberculosis diagnosis].
20069
11
Prevalence of the missense mutation Gly574Ser in the hepatocyte nuclear factor-1alpha in Africans with diabetes.
20029
12 20028
13 20057
14 20186
15 20076
16 20075
17 20125
18 20055
19
[Sexual abuse and chemical submission, a present-day problem].
20025
20 20074

About Franck Ceppa

Franck Ceppa is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 359 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Pleural and Pulmonary Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Pesticide Exposure and Toxicity (5 papers), Pneumonia and Respiratory Infections (3 papers), Computational Drug Discovery Methods (3 papers), Analytical Methods in Pharmaceuticals (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Pharmacology (73 citations), Occupational Therapy (17 citations), Endocrinology, Diabetes and Metabolism (51 citations), Cardiology and Cardiovascular Medicine (67 citations) and Computational Theory and Mathematics (37 citations). Franck Ceppa has collaborated with scholars based in France, Russia and United States. Frequent co-authors include P. Burnat, Hervé Delacour, H. Mayaudon, Olivier Dupuy, Thierry Gidenne, B. Bauduceau, Patrick Masson, Sofya V. Lushchekina, Oksana Lockridge and Lawrence M. Schopfer. Their work appears in journals such as Diabetes & Metabolism, Clinical Chemistry and Laboratory Medicine (CCLM), PLoS ONE, The Pharmacogenomics Journal and Clinical Biochemistry.

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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