David Ledieu
Impact in
- Small Animals top 5%
- Animal testing and alternatives
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Platelet Disorders and Treatments
Papers in
-
- Platelet Disorders and Treatments 4
- Chronic Myeloid Leukemia Treatments 3
-
- Animal testing and alternatives 4
- Co-authors
- Serge Côté (4 shared papers)Michal Magid-Slav (1 shared paper)Dana B. Walker (1 shared paper)Daniela Ennulat (1 shared paper)Daniel Roth (2 shared papers)Mark J. Graham (1 shared paper)Laura Boone (1 shared paper)François Pognan (4 shared papers)
- Journals
- Experimental and Toxicologic Pathology (5 papers)Toxicologic Pathology (3 papers)Leukemia Research (2 papers)Current Opinion in Toxicology (1 paper)Blood (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
David Ledieu
17 papers receiving 314 citations
Peers
Comparison fields: 5 of 74
- Small Animals 69
- Hematology 64
- Pharmacology 29
- Immunology 63
- Cardiology and Cardiovascular Medicine 47
Countries citing papers authored by David Ledieu
This map shows the geographic impact of David Ledieu'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 David Ledieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ledieu more than expected).
Fields of papers citing papers by David Ledieu
This network shows the impact of papers produced by David Ledieu. 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 David Ledieu. The network helps show where David Ledieu may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ledieu, 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 | 2010 | 75 | |
| 2 | 2010 | 59 | |
| 3 | 2015 | 36 | |
| 4 | 2012 | 27 | |
| 5 | 2010 | 26 | |
| 6 | 2010 | 22 | |
| 7 | 2010 | 17 | |
| 8 | 2006 | 16 | |
| 9 | 2016 | 10 | |
| 10 | 2010 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2010 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2008 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 |
About David Ledieu
David Ledieu is a scholar working on Hematology, Small Animals, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 333 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (4 papers), Animal testing and alternatives (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Immunotoxicology and immune responses (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Small Animals (69 citations), Hematology (64 citations), Pharmacology (29 citations), Immunology (63 citations) and Cardiology and Cardiovascular Medicine (47 citations). David Ledieu has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Serge Côté, Michal Magid-Slav, Dana B. Walker, Daniela Ennulat, Daniel Roth, Mark J. Graham, Laura Boone, François Pognan, Armin Wolf and Martina Stirn. Their work appears in journals such as Experimental and Toxicologic Pathology, Toxicologic Pathology, Leukemia Research, Current Opinion in Toxicology and Blood.
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.