Caroline Besson
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Glioma Diagnosis and Treatment
Papers in ⓘ
- Genetics 27
- Chronic Lymphocytic Leukemia Research 26
-
- Lymphoma Diagnosis and Treatment 41
- Co-authors
- Olivier Hermine (23 shared papers)Eric A. Engels (5 shared papers)Lindsay M. Morton (4 shared papers)Martine Raphaël (11 shared papers)Gita Suneja (2 shared papers)Nicole Brousse (4 shared papers)Ruth M. Pfeiffer (2 shared papers)Elizabeth L. Yanik (2 shared papers)
- Journals
- Blood (16 papers)Annals of Oncology (3 papers)PLoS ONE (3 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Caroline Besson
80 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Pathology and Forensic Medicine 965
- Genetics 566
- Hepatology 268
- Neurology 448
- Oncology 800
Countries citing papers authored by Caroline Besson
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
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.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 250 | |
| 2 | 2016 | 193 | |
| 3 | 2000 | 155 | |
| 4 | 2004 | 143 | |
| 5 | 2006 | 112 | |
| 6 | 2016 | 100 | |
| 7 | 1993 | 85 | |
| 8 | 2016 | 78 | |
| 9 | 2022 | 63 | |
| 10 | 2017 | 55 | |
| 11 | 2008 | 54 | |
| 12 | 2007 | 53 | |
| 13 | 2006 | 49 | |
| 14 | 2017 | 43 | |
| 15 | 2015 | 41 | |
| 16 | 2010 | 37 | |
| 17 | 2011 | 29 | |
| 18 | 2006 | 27 | |
| 19 | 2002 | 24 | |
| 20 | 2016 | 24 |
About Caroline Besson
Caroline Besson is a scholar working on Genetics, Pathology and Forensic Medicine, Hepatology, Oncology and Hematology, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (41 papers), Viral-associated cancers and disorders (29 papers), Chronic Lymphocytic Leukemia Research (26 papers), Hepatitis C virus research (12 papers), Immune Cell Function and Interaction (8 papers), Eosinophilic Disorders and Syndromes (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (965 citations), Genetics (566 citations), Hepatology (268 citations), Neurology (448 citations) and Oncology (800 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, Ruth M. Pfeiffer, Elizabeth L. Yanik, Hervé Tilly and P Lederlin. Their work appears in journals such as Blood, Annals of Oncology, PLoS ONE, JAIDS Journal of Acquired Immune Deficiency Syndromes and British Journal of Haematology.
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.