Laëtitia Largeaud
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 19
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 4
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- Histone Deacetylase Inhibitors Research 4
- Co-authors
- Jean‐Baptiste Rieu (17 shared papers)Christian Récher (16 shared papers)Éric Delabesse (17 shared papers)Isabelle Luquet (14 shared papers)Sarah Bertoli (14 shared papers)Suzanne Tavitian (14 shared papers)Véronique Mansat‐De Mas (8 shared papers)François Vergez (14 shared papers)
- Journals
- Blood (5 papers)Cancers (4 papers)British Journal of Haematology (2 papers)Leukemia Research (2 papers)Blood Advances (2 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Laëtitia Largeaud
31 papers receiving 209 citations
Peers
Comparison fields: 5 of 46
- Hematology 108
- Genetics 68
- Immunology 43
- Rheumatology 30
- Cancer Research 27
Countries citing papers authored by Laëtitia Largeaud
This map shows the geographic impact of Laëtitia Largeaud'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 Laëtitia Largeaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laëtitia Largeaud more than expected).
Fields of papers citing papers by Laëtitia Largeaud
This network shows the impact of papers produced by Laëtitia Largeaud. 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 Laëtitia Largeaud. The network helps show where Laëtitia Largeaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Laëtitia Largeaud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 28 | |
| 2 | 2020 | 20 | |
| 3 | 2020 | 16 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Laëtitia Largeaud
Laëtitia Largeaud is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Emergency Medicine, having authored 34 papers that have together received 211 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Hematological disorders and diagnostics (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (108 citations), Genetics (68 citations), Immunology (43 citations), Rheumatology (30 citations) and Cancer Research (27 citations). Laëtitia Largeaud has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Jean‐Baptiste Rieu, Christian Récher, Éric Delabesse, Isabelle Luquet, Sarah Bertoli, Suzanne Tavitian, Véronique Mansat‐De Mas, François Vergez, Audrey Sarry and Françoise Huguet. Their work appears in journals such as Blood, Cancers, British Journal of Haematology, Leukemia Research and Blood Advances.
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.