Guy Laurent
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Oncology top 1%
- Drug Transport and Resistance Mechanisms
Papers in
-
- Sphingolipid Metabolism and Signaling 37
- Lipid Membrane Structure and Behavior 18
- Cell death mechanisms and regulation 12
- Oncology 54
- Co-authors
- Jean‐Pierre Jaffrézou (32 shared papers)Anne Quillet‐Mary (26 shared papers)Christine Bezombes (26 shared papers)Thierry Levade (20 shared papers)Paul M. Tulkens (9 shared papers)Véronique Mansat‐De Mas (13 shared papers)Denis Nonclercq (30 shared papers)Ali Bettaı̈eb (14 shared papers)
- Journals
- Blood (25 papers)The FASEB Journal (9 papers)Journal of Biological Chemistry (8 papers)Oncogene (6 papers)Biochemical Pharmacology (6 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Guy Laurent
196 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 144
- Immunology 1.5k
- Oncology 1.8k
- Hematology 734
- Genetics 695
- Pathology and Forensic Medicine 1.2k
Countries citing papers authored by Guy Laurent
This map shows the geographic impact of Guy Laurent'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 Guy Laurent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Laurent more than expected).
Fields of papers citing papers by Guy Laurent
This network shows the impact of papers produced by Guy Laurent. 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 Guy Laurent. The network helps show where Guy Laurent may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Laurent, 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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 425 | |
| 2 | 2004 | 264 | |
| 3 | 2004 | 241 | |
| 4 | 2005 | 215 | |
| 5 | 1982 | 201 | |
| 6 | 2014 | 161 | |
| 7 | 1999 | 161 | |
| 8 | 2001 | 156 | |
| 9 | 2004 | 154 | |
| 10 | 2012 | 140 | |
| 11 | 1999 | 129 | |
| 12 | 2004 | 126 | |
| 13 | 2009 | 117 | |
| 14 | 2009 | 113 | |
| 15 | 2005 | 109 | |
| 16 | 2000 | 105 | |
| 17 | 2007 | 97 | |
| 18 | 2005 | 85 | |
| 19 | 2006 | 83 | |
| 20 | 1984 | 83 |
About Guy Laurent
Guy Laurent is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Genetics, having authored 197 papers that have together received 7.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (37 papers), Lymphoma Diagnosis and Treatment (28 papers), Chronic Lymphocytic Leukemia Research (27 papers), Estrogen and related hormone effects (21 papers), Lipid Membrane Structure and Behavior (18 papers), Acute Myeloid Leukemia Research (15 papers), Immune Cell Function and Interaction (14 papers) and Cell death mechanisms and regulation (12 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.8k citations), Hematology (734 citations), Genetics (695 citations) and Pathology and Forensic Medicine (1.2k citations). Guy Laurent has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Jean‐Pierre Jaffrézou, Anne Quillet‐Mary, Christine Bezombes, Thierry Levade, Paul M. Tulkens, Véronique Mansat‐De Mas, Denis Nonclercq, Ali Bettaı̈eb, Christine Bordier and Loïc Ysebaert. Their work appears in journals such as Blood, The FASEB Journal, Journal of Biological Chemistry, Oncogene and Biochemical Pharmacology.
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.