Jérôme Clerc

2.9k citations
83 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Jérôme Clerc

78 papers receiving 1.8k citations

Peers

Jérôme Clerc
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 467
  • Radiology, Nuclear Medicine and Imaging 484
  • Pathology and Forensic Medicine 229
  • Oncology 291
  • Molecular Biology 550
Replace James R. Woodworth with:
James R. Woodworth United States
Ke Hu China
Uma Sinha United States
Hans Loibner Austria
Chee M. Ng United States
Maya K. Leabman United States
Kazuto Ito Japan
Hiroshi Tazaki Japan
Jasmin Bektić Austria
Sandra Cerda United States
Jérôme Clerc relative to James R. Woodworth United States James R. Woodworth's profile →
Citations per field
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James R. Woodworth · 1×
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 2019117
2 2020105
3 1998104
4 200989
5 201078
6 201775
7 200460
8 200959
9 201056
10 201052
11 199751
12 199849
13 201044
14 201343
15 201039
16 201737
17 200837
18 202235
19 201133
20 201132

About Jérôme Clerc

Jérôme Clerc is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Oncology, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (27 papers), Thyroid Disorders and Treatments (16 papers), Cardiac Imaging and Diagnostics (8 papers), Ubiquitin and proteasome pathways (8 papers), Medical Imaging Techniques and Applications (7 papers), Head and Neck Anomalies (6 papers), Glycosylation and Glycoproteins Research (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Radiology, Nuclear Medicine and Imaging (484 citations), Pathology and Forensic Medicine (229 citations), Oncology (291 citations) and Molecular Biology (550 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, Olivier Casasnovas, Irène Buvat, M. Groll, Michel Meignan, Robert Dudler, Alain Chevalier and Daniel Krahn. Their work appears in journals such as Journal of Nuclear Medicine, Cancers, Angewandte Chemie International Edition, British Journal of Radiology and Thyroid.

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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