David Sibon
Impact in
-
- Lymphoma Diagnosis and Treatment
- Immunology top 5%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
Papers in
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- Lymphoma Diagnosis and Treatment 67
- Genetics 22
- Chronic Lymphocytic Leukemia Research 20
- Co-authors
- Pascal Amireault (2 shared papers)Francine Côté (2 shared papers)Olivier Hermine (21 shared papers)Josette Brière (11 shared papers)Ambroise Marçais (8 shared papers)Felipe Suarez (11 shared papers)Christian Gisselbrecht (7 shared papers)Corinne Haïoun (10 shared papers)
- Journals
- Blood (14 papers)Journal of Clinical Oncology (8 papers)Hematological Oncology (7 papers)British Journal of Haematology (6 papers)Blood Advances (4 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
David Sibon
104 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 97
- Pathology and Forensic Medicine 1.3k
- Immunology 838
- Genetics 359
- Oncology 704
- Dermatology 221
Countries citing papers authored by David Sibon
This map shows the geographic impact of David Sibon'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 David Sibon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sibon more than expected).
Fields of papers citing papers by David Sibon
This network shows the impact of papers produced by David Sibon. 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 David Sibon. The network helps show where David Sibon may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sibon, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 203 | |
| 2 | 2012 | 154 | |
| 3 | 2021 | 146 | |
| 4 | 2012 | 126 | |
| 5 | 2010 | 114 | |
| 6 | 2010 | 108 | |
| 7 | 2012 | 93 | |
| 8 | 2013 | 87 | |
| 9 | 2014 | 80 | |
| 10 | 2021 | 69 | |
| 11 | 2006 | 61 | |
| 12 | 2020 | 60 | |
| 13 | 2020 | 58 | |
| 14 | 2010 | 51 | |
| 15 | 2019 | 50 | |
| 16 | 2016 | 47 | |
| 17 | 2018 | 46 | |
| 18 | 2015 | 39 | |
| 19 | 2022 | 38 | |
| 20 | 2010 | 37 |
About David Sibon
David Sibon is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Hematology, having authored 108 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (67 papers), T-cell and Retrovirus Studies (21 papers), Chronic Lymphocytic Leukemia Research (20 papers), Viral-associated cancers and disorders (13 papers), CNS Lymphoma Diagnosis and Treatment (12 papers), CAR-T cell therapy research (10 papers), Vector-Borne Animal Diseases (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Immunology (838 citations), Genetics (359 citations), Oncology (704 citations) and Dermatology (221 citations). David Sibon has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Pascal Amireault, Francine Côté, Olivier Hermine, Josette Brière, Ambroise Marçais, Felipe Suarez, Christian Gisselbrecht, Corinne Haïoun, Philippe Gaulard and Eric Wattel. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, British Journal of Haematology and Blood Advances.
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.