Jean‐Max Pasquet
- Hematology top 0.5%
- Platelet Disorders and Treatments 23
- Chronic Myeloid Leukemia Treatments 23
- Acute Myeloid Leukemia Research 13
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 10
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 15
- Blood disorders and treatments 6
- Immunology top 5%
- Cancer Research top 5%
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- Blood properties and coagulation 9
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- Eosinophilic Disorders and Syndromes 9
- Co-authors
- Alan T. NurdenSisareuth TanAlain BrissonStéphane MornetRomain LinaresCéline GounouSteve P. WatsonFrançois‐Xavier Mahon
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐Max Pasquet
68 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Hematology 1.4k
- Immunology and Allergy 343
- Genetics 444
- Immunology 685
- Cancer Research 402
Countries citing papers authored by Jean‐Max Pasquet
This map shows the geographic impact of Jean‐Max Pasquet'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‐Max Pasquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Max Pasquet more than expected).
Fields of papers citing papers by Jean‐Max Pasquet
This network shows the impact of papers produced by Jean‐Max Pasquet. 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‐Max Pasquet. The network helps show where Jean‐Max Pasquet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Max Pasquet, 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 | 2021 | 24 | |
| 2 | 2020 | 6 | |
| 3 | 2016 | 87 | |
| 4 | 2015 | 9 | |
| 5 | Extracellular vesicles from blood plasma: determination of their morphology, size, phenotype and concentrationbreakdown → | 2014 | 583 |
| 6 | 2013 | 81 | |
| 7 | 2013 | 20 | |
| 8 | 2013 | 24 | |
| 9 | 2012 | 74 | |
| 10 | 2011 | 75 | |
| 11 | 2010 | 52 | |
| 12 | 2009 | 20 | |
| 13 | 2008 | 174 | |
| 14 | 2008 | 33 | |
| 15 | 2005 | 31 | |
| 16 | 2003 | 15 | |
| 17 | 2000 | 47 | |
| 18 | 1997 | 55 | |
| 19 | 1996 | 33 | |
| 20 | 1995 | 134 |
About Jean‐Max Pasquet
Jean‐Max Pasquet is a scholar working on Hematology, Genetics, Immunology and Allergy, Rheumatology and Immunology, having authored 69 papers that have together received 3.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Chronic Myeloid Leukemia Treatments (23 papers), Chronic Lymphocytic Leukemia Research (15 papers), Acute Myeloid Leukemia Research (13 papers), Cell Adhesion Molecules Research (10 papers), Blood properties and coagulation (9 papers), Eosinophilic Disorders and Syndromes (9 papers) and Blood disorders and treatments (6 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology and Allergy (343 citations), Genetics (444 citations), Immunology (685 citations) and Cancer Research (402 citations). Jean‐Max Pasquet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Alan T. Nurden, Sisareuth Tan, Alain Brisson, Stéphane Mornet, Romain Linares, Céline Gounou, Steve P. Watson, François‐Xavier Mahon, Valérie Lagarde and Alan T. Nurden. Their work appears in journals such as Blood, Leukemia, Biochemical Journal, Clinical Cancer Research and Molecular and Cellular Biology.
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.