Arnaud Jacquel
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune cells in cancer
Papers in
-
- Cell death mechanisms and regulation 11
- Hematology 22
- Chronic Myeloid Leukemia Treatments 14
- Acute Myeloid Leukemia Research 9
- Co-authors
- Patrick Auberger (46 shared papers)Frédéric Luciano (21 shared papers)Pascal Colosetti (13 shared papers)Magali Herrant (5 shared papers)Guillaume Robert (25 shared papers)Nathalie Belhacène (10 shared papers)Gilles Pagès (3 shared papers)Sébastien Cagnol (1 shared paper)
- Journals
- Oncotarget (10 papers)Oncogene (7 papers)Blood (5 papers)The FASEB Journal (4 papers)Cell Death and Differentiation (4 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Arnaud Jacquel
64 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 115
- Hematology 561
- Immunology 681
- Genetics 299
- Cell Biology 421
- Geriatrics and Gerontology 78
Countries citing papers authored by Arnaud Jacquel
This map shows the geographic impact of Arnaud Jacquel'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 Arnaud Jacquel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Jacquel more than expected).
Fields of papers citing papers by Arnaud Jacquel
This network shows the impact of papers produced by Arnaud Jacquel. 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 Arnaud Jacquel. The network helps show where Arnaud Jacquel may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnaud Jacquel, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 396 | |
| 2 | 2004 | 149 | |
| 3 | 2018 | 148 | |
| 4 | 2019 | 132 | |
| 5 | 2012 | 116 | |
| 6 | 2003 | 106 | |
| 7 | 2011 | 102 | |
| 8 | 2006 | 102 | |
| 9 | 2016 | 93 | |
| 10 | 2011 | 85 | |
| 11 | 2011 | 81 | |
| 12 | 2009 | 78 | |
| 13 | 2006 | 69 | |
| 14 | 2005 | 68 | |
| 15 | 2009 | 67 | |
| 16 | 2003 | 65 | |
| 17 | 2012 | 64 | |
| 18 | 2008 | 58 | |
| 19 | 2010 | 53 | |
| 20 | 2023 | 52 |
About Arnaud Jacquel
Arnaud Jacquel is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Cell Biology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Cell death mechanisms and regulation (11 papers), Autophagy in Disease and Therapy (9 papers), Acute Myeloid Leukemia Research (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Phagocytosis and Immune Regulation (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (561 citations), Immunology (681 citations), Genetics (299 citations), Cell Biology (421 citations) and Geriatrics and Gerontology (78 citations). Arnaud Jacquel has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Patrick Auberger, Frédéric Luciano, Pascal Colosetti, Magali Herrant, Guillaume Robert, Nathalie Belhacène, Gilles Pagès, Sébastien Cagnol, Alexandre Puissant and Éric Solary. Their work appears in journals such as Oncotarget, Oncogene, Blood, The FASEB Journal and Cell Death and Differentiation.
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.