Jérôme Clerc

2.8k citations
83 papers · 1.8k · h-index 26

Impact in

Papers in

Jérôme Clerc

77 papers receiving 1.8k citations

Peers

Jérôme Clerc
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 367
  • Radiology, Nuclear Medicine and Imaging 311
  • Pathology and Forensic Medicine 212
  • Oncology 261
  • Pharmacology 124
Replace Uma Sinha with:
Uma Sinha United States
Fabienne Thomas France
Hans Loibner Austria
Shuiying Hu United States
Kazuto Ito Japan
Kiyoshi Okamoto Japan
Maya K. Leabman United States
Jasmin Bektić Austria
Ke Hu China
Peter End Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Jérôme Clerc

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Clerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019126
2 2020109
3 200991
4 201080
5 201778
6 200463
7 200959
8 201058
9 199754
10 201052
11 199849
12 201347
13 201044
14 200842
15 201740
16 202239
17 201039
18 202235
19 202334
20 201134

About Jérôme Clerc

Jérôme Clerc is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (25 papers), Thyroid Disorders and Treatments (15 papers), Ubiquitin and proteasome pathways (8 papers), Glycosylation and Glycoproteins Research (6 papers), Head and Neck Anomalies (6 papers), Ion-surface interactions and analysis (5 papers), Peptidase Inhibition and Analysis (5 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (367 citations), Radiology, Nuclear Medicine and Imaging (311 citations), Pathology and Forensic Medicine (212 citations), Oncology (261 citations) and Pharmacology (124 citations). Jérôme Clerc has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Markus Kaiser, Anne‐Ségolène Cottereau, André S. Bachmann, Irène Buvat, Olivier Casasnovas, Michel Meignan, M. Groll, Robert Dudler, Lionel Groussin and Christophe Nioche. Their work appears in journals such as Journal of Nuclear Medicine, Cancers, Journal of the American Society of Echocardiography, The Journal of Clinical Endocrinology & Metabolism and The Lancet.

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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