Caroline Besson

5.8k citations
89 papers · 2.1k · h-index 23

Impact in

Papers in

Caroline Besson

81 papers receiving 2.1k citations

Peers

Caroline Besson
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 772
  • Genetics 448
  • Hepatology 262
  • Neurology 444
  • Oncology 710
Replace François Lefrère with:
François Lefrère France
Martine Vornanen Finland
James A. Strauchen United States
Noha Abdel‐Wahab United States
Gunjan L. Shah United States
Thomas G. Gross United States
Antonio Salar Spain
Filíppo Gherlinzoni Italy
Constantine A. Axiotis United States
Carlos Montalbán Spain
Caroline Besson relative to François Lefrère France François Lefrère's profile →
Citations per field
00.5×2.8×
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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001275
2 2016204
3 2000164
4 2004150
5 2006114
6 2016112
7 199387
8 201682
9 202267
10 200858
11 201757
12 200755
13 200650
14 201748
15 201543
16 201039
17 200629
18 201129
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 89 papers that have together received 2.1k 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), Healthcare Systems and Practices (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (772 citations), Genetics (448 citations), Hepatology (262 citations), Neurology (444 citations) and Oncology (710 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, Éric Lepage and Hervé Tilly. Their work appears in journals such as Blood, Annals of Oncology, PLoS ONE, British Journal of Haematology and AIDS.

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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