Caroline Besson

5.8k citations
86 papers · 2.0k · h-index 22

Impact in

Papers in

Caroline Besson

80 papers receiving 2.0k citations

Peers

Caroline Besson
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 730
  • Genetics 420
  • Hepatology 250
  • Neurology 424
  • Oncology 671
Replace François Lefrère with:
François Lefrère France
Noha Abdel‐Wahab United States
Martine Vornanen Finland
Diane Coso France
James A. Strauchen United States
Gunjan L. Shah United States
Antonio Salar Spain
Thomas G. Gross United States
Filíppo Gherlinzoni Italy
François Boué France
Caroline Besson relative to François Lefrère France François Lefrère's profile →
Citations per field
00.5×3.1×
François Lefrère · 1×
Citations per year

Countries citing papers authored by Caroline Besson

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001249
2 2016200
3 2000157
4 2004143
5 2006112
6 2016104
7 199385
8 201680
9 202264
10 201757
11 200855
12 200753
13 200649
14 201745
15 201541
16 201037
17 201129
18 200627
19 201625
20 200224

About Caroline Besson

Caroline Besson is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hepatology and Immunology, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Viral-associated cancers and disorders (24 papers), Chronic Lymphocytic Leukemia Research (22 papers), Hepatitis C virus research (12 papers), Immune Cell Function and Interaction (8 papers), Cytomegalovirus and herpesvirus research (4 papers), Hepatitis B Virus Studies (3 papers) and Parvovirus B19 Infection Studies (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (730 citations), Genetics (420 citations), Hepatology (250 citations), Neurology (424 citations) and Oncology (671 citations). Caroline Besson has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Olivier Hermine, Eric A. Engels, Lindsay M. Morton, Martine Raphaël, Gita Suneja, Nicole Brousse, Elizabeth L. Yanik, Ruth M. Pfeiffer, Hervé Tilly and Éric Lepage. Their work appears in journals such as Blood, PLoS ONE, Annals of Oncology, Cancer Epidemiology Biomarkers & Prevention and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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