Jean‐Marie Freyssinet
- Molecular Biology top 1%
- Immunology top 1%
- Hematology top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Cancer Research top 1%
- Co-authors
- Bénédicte HugelFlorence TotiOlivier MorelMaria Carmen MartínezAlain TedguiZiad MallatCorinne KunzelmannLaurence Jesel
- Topics
- Blood Coagulation and Thrombosis Mechanisms (28 papers)Extracellular vesicles in disease (22 papers)Phagocytosis and Immune Regulation (17 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean‐Marie Freyssinet
85 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 4.6k
- Immunology 2.1k
- Hematology 1.9k
- Cardiology and Cardiovascular Medicine 1.3k
- Cancer Research 1.2k
Countries citing papers authored by Jean‐Marie Freyssinet
This map shows the geographic impact of Jean‐Marie Freyssinet'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‐Marie Freyssinet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marie Freyssinet more than expected).
Fields of papers citing papers by Jean‐Marie Freyssinet
This network shows the impact of papers produced by Jean‐Marie Freyssinet. 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‐Marie Freyssinet. The network helps show where Jean‐Marie Freyssinet may publish in the future.
Co-authorship network of co-authors of Jean‐Marie Freyssinet
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marie Freyssinet. A scholar is included among the top collaborators of Jean‐Marie Freyssinet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Marie Freyssinet. Jean‐Marie Freyssinet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 59 | |
| 3 | 121 | |
| 4 | 193 | |
| 5 | 96 | |
| 6 | 44 | |
| 7 | 144 | |
| 8 | 100 | |
| 9 | 109 | |
| 10 | 2 | |
| 11 | 72 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 55 | |
| 17 | Les anticorps antiphospholipides : cause ou conséquence de la stimulation ou de la mort cellulaire ? | 2 |
| 18 | Le syndrome de Scott : un témoin de l'importance des phospholipides dans les réactions de la coagulation et une référence pour une nouvelle approche pharmacologique du risque thrombotique | 1 |
| 19 | 127 | |
| 20 | 1 |
About Jean‐Marie Freyssinet
Jean‐Marie Freyssinet is a scholar working on Hematology, Internal Medicine and Immunology, having authored 86 papers that have together received 8.3k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (28 papers), Extracellular vesicles in disease (22 papers) and Phagocytosis and Immune Regulation (17 papers). The work is most often cited by research in Internal Medicine (667 citations), Hematology (1.9k citations) and Immunology (2.1k citations). Jean‐Marie Freyssinet has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bénédicte Hugel, Florence Toti, Olivier Morel, Maria Carmen Martínez, Alain Tedgui, Ziad Mallat, Corinne Kunzelmann, Laurence Jesel, Françoise Dignat‐George and Joëlle Bénessiano. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Experimental Medicine.
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.