Caroline Le Van Kim
- Hematology top 0.1%
- Blood groups and transfusion 88
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders 43
- Blood disorders and treatments 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Physiology top 0.5%
- Erythrocyte Function and Pathophysiology 96
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- Neonatal Health and Biochemistry 12
- Virology top 5%
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- Glycosylation and Glycoproteins Research 15
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- Blood properties and coagulation 10
- Co-authors
- Yves ColinJean‐Pierre CartronBaya Chérif‐ZaharChristophe TournamilleIsabelle Mouro-ChanteloupPierre GaneWassim El NemerJP Cartron
- Cited by
- HematologyGeneticsPhysiology
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- FranceUnited StatesGuadeloupe
In The Last Decade
Caroline Le Van Kim
150 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Hematology 3.7k
- Genetics 1.4k
- Physiology 3.1k
- Pediatrics, Perinatology and Child Health 880
- Virology 186
Countries citing papers authored by Caroline Le Van Kim
This map shows the geographic impact of Caroline Le Van Kim'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 Caroline Le Van Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Le Van Kim more than expected).
Fields of papers citing papers by Caroline Le Van Kim
This network shows the impact of papers produced by Caroline Le Van Kim. 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 Caroline Le Van Kim. The network helps show where Caroline Le Van Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caroline Le Van Kim, 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 | 2023 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 12 | |
| 13 | 2016 | 7 | |
| 14 | 2014 | 23 | |
| 15 | 2010 | 59 | |
| 16 | 2010 | 34 | |
| 17 | 2007 | 98 | |
| 18 | 2005 | 57 | |
| 19 | 2002 | 32 | |
| 20 | 2001 | 36 |
About Caroline Le Van Kim
Caroline Le Van Kim is a scholar working on Hematology, Genetics and Physiology, having authored 153 papers that have together received 6.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (96 papers), Blood groups and transfusion (88 papers), Hemoglobinopathies and Related Disorders (43 papers), Glycosylation and Glycoproteins Research (15 papers), Neonatal Health and Biochemistry (12 papers), Blood properties and coagulation (10 papers), Blood disorders and treatments (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (3.7k citations), Genetics (1.4k citations) and Physiology (3.1k citations). Caroline Le Van Kim has collaborated with scholars based in France, United States and Guadeloupe. Frequent co-authors include Yves Colin, Jean‐Pierre Cartron, Baya Chérif‐Zahar, Christophe Tournamille, Isabelle Mouro-Chanteloup, Pierre Gane, Wassim El Nemer, JP Cartron, V Raynal and Christelle Rouillac. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.