Olivier Clerc

3.9k citations
80 papers · 1.7k · h-index 23

Impact in

Papers in

Olivier Clerc

73 papers receiving 1.6k citations

Peers

Olivier Clerc
Comparison fields: 5 of 121
  • Clinical Biochemistry 247
  • Applied Microbiology and Biotechnology 50
  • Radiology, Nuclear Medicine and Imaging 516
  • Hepatology 165
  • Infectious Diseases 308
Replace Elina Kolho with:
Elina Kolho Finland
Bértil Christensson Sweden
Holenarasipur R. Vikram United States
Bum Sik Chin South Korea
William P. Bradley United States
Patrick G. Hogan United States
Helle Bossen Konradsen Denmark
Benoît Visseaux France
C. Michelet France
Daniel Kaul United States
Olivier Clerc relative to Elina Kolho Finland Elina Kolho's profile →
Citations per field
00.5×7.9×
Elina Kolho · 1×
Citations per year

Countries citing papers authored by Olivier Clerc

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Clerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012176
2 2012158
3 2016111
4 201184
5 201081
6 201478
7 201461
8 201349
9 201643
10 201643
11 201741
12 201639
13 201034
14 201534
15 201432
16 201431
17 201530
18 201430
19 202329
20 201828

About Olivier Clerc

Olivier Clerc is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (24 papers), Advanced X-ray and CT Imaging (13 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Radiation Dose and Imaging (9 papers), Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (7 papers), Parathyroid Disorders and Treatments (7 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Clinical Biochemistry (247 citations), Applied Microbiology and Biotechnology (50 citations), Radiology, Nuclear Medicine and Imaging (516 citations), Hepatology (165 citations) and Infectious Diseases (308 citations). Olivier Clerc has collaborated with scholars based in Switzerland, United States and Chile. Frequent co-authors include Gilbert Greub, Guy Prod’hom, Ronny R. Buechel, Philipp A. Kaufmann, Tobias A. Fuchs, Oliver Gaemperli, Julia Stehli, Mathias Possner, Dominik C. Benz and Christoph Gräni. Their work appears in journals such as European Heart Journal - Cardiovascular Imaging, Journal of Nuclear Cardiology, JACC. Cardiovascular imaging, International journal of cardiac imaging and European Heart Journal.

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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