Jean‐Pierre Kerckaert
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 5
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- Lymphoma Diagnosis and Treatment 12
- Immunology top 5%
- Hematology top 5%
- Acute Myeloid Leukemia Research 8
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 15
- Cancer-related gene regulation 8
- RNA Research and Splicing 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- Carbohydrate Chemistry and Synthesis 5
- Co-authors
- Sabine QuiefBernard BayardChristian BastardClotilde DeweindtOlivier AlbagliPhilippe DhordainHervé TillyRichard J. Lin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Jean‐Pierre Kerckaert
61 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Genetics 387
- Pathology and Forensic Medicine 503
- Immunology 504
- Hematology 241
- Molecular Biology 1.3k
Countries citing papers authored by Jean‐Pierre Kerckaert
This map shows the geographic impact of Jean‐Pierre Kerckaert'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 Jean‐Pierre Kerckaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Kerckaert more than expected).
Fields of papers citing papers by Jean‐Pierre Kerckaert
This network shows the impact of papers produced by Jean‐Pierre Kerckaert. 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 Jean‐Pierre Kerckaert. The network helps show where Jean‐Pierre Kerckaert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Pierre Kerckaert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 43 | |
| 2 | 2010 | 78 | |
| 3 | 2008 | 47 | |
| 4 | 2004 | 15 | |
| 5 | 2003 | 39 | |
| 6 | 2001 | 17 | |
| 7 | 2000 | 11 | |
| 8 | 2000 | 96 | |
| 9 | 1999 | 59 | |
| 10 | 1998 | 7 | |
| 11 | 1998 | 202 | |
| 12 | 1997 | 59 | |
| 13 | Génétique des lymphomes diffus : le gène LAZ3/BCL6 | 1996 | 1 |
| 14 | 1995 | 43 | |
| 15 | 1993 | 61 | |
| 16 | 1993 | 376 | |
| 17 | 1991 | 4 | |
| 18 | 1978 | 3 | |
| 19 | 1977 | 5 | |
| 20 | 1977 | 31 |
About Jean‐Pierre Kerckaert
Jean‐Pierre Kerckaert is a scholar working on Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Lymphoma Diagnosis and Treatment (12 papers), Cancer-related gene regulation (8 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Carbohydrate Chemistry and Synthesis (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Genetics (387 citations), Pathology and Forensic Medicine (503 citations) and Immunology (504 citations). Jean‐Pierre Kerckaert has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Sabine Quief, Bernard Bayard, Christian Bastard, Clotilde Deweindt, Olivier Albagli, Philippe Dhordain, Hervé Tilly, Richard J. Lin, Ronald M. Evans and Danièle Lantoine. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.