Jean‐Pierre Cartron
- Hematology top 0.1%
- Physiology top 0.2%
- Molecular Biology top 2%
- Genetics top 0.2%
- Immunology top 2%
- Co-authors
- Yves ColinCaroline Le Van KimPierre GaneBaya Chérif‐ZaharChristophe TournamilleDominique BlanchardIsabelle Mouro-ChanteloupPascal Bailly
- Topics
- Blood groups and transfusion (140 papers)Erythrocyte Function and Pathophysiology (138 papers)Glycosylation and Glycoproteins Research (44 papers)
- Cited by
- HematologyPhysiologyGenetics
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean‐Pierre Cartron
261 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Hematology 5.0k
- Physiology 4.5k
- Molecular Biology 3.3k
- Genetics 1.8k
- Immunology 1.4k
Countries citing papers authored by Jean‐Pierre Cartron
This map shows the geographic impact of Jean‐Pierre Cartron'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 Cartron 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 Cartron more than expected).
Fields of papers citing papers by Jean‐Pierre Cartron
This network shows the impact of papers produced by Jean‐Pierre Cartron. 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 Cartron. The network helps show where Jean‐Pierre Cartron may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Cartron
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Cartron. A scholar is included among the top collaborators of Jean‐Pierre Cartron 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‐Pierre Cartron. Jean‐Pierre Cartron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 69 | |
| 6 | 44 | |
| 7 | 98 | |
| 8 | La génération in vitro de globules rouges humains : un modèle de recherche | 1 |
| 9 | 127 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 99 | |
| 14 | Bases moléculaires du système RH et syndrome Rhnull | 9 |
| 15 | 8 | |
| 16 | 8 | |
| 17 | Protein blood group antigens of the human red cell : structure, function, and clinical significance | 19 |
| 18 | 9 | |
| 19 | 26 | |
| 20 | 3 |
About Jean‐Pierre Cartron
Jean‐Pierre Cartron is a scholar working on Hematology, Physiology and Genetics, having authored 263 papers that have together received 10.0k indexed citations. Recurring topics across this work include Blood groups and transfusion (140 papers), Erythrocyte Function and Pathophysiology (138 papers) and Glycosylation and Glycoproteins Research (44 papers). The work is most often cited by research in Hematology (5.0k citations), Physiology (4.5k citations) and Genetics (1.8k citations). Jean‐Pierre Cartron has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Yves Colin, Caroline Le Van Kim, Pierre Gane, Baya Chérif‐Zahar, Christophe Tournamille, Dominique Blanchard, Isabelle Mouro-Chanteloup, Pascal Bailly, Cécile Rahuel and P. Bailly. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.