Laëtitia Largeaud
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 19
- Chronic Myeloid Leukemia Treatments 6
- Hematopoietic Stem Cell Transplantation 3
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Jean‐Baptiste Rieu (17 shared papers)Christian Récher (16 shared papers)Isabelle Luquet (15 shared papers)François Vergez (15 shared papers)Éric Delabesse (17 shared papers)Sarah Bertoli (14 shared papers)Véronique Mansat‐De Mas (8 shared papers)Suzanne Tavitian (14 shared papers)
In The Last Decade
Laëtitia Largeaud
32 papers receiving 229 citations
Peers
Comparison fields: 5 of 46
- Hematology 112
- Genetics 63
- Rheumatology 29
- Immunology 39
- Cancer Research 21
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2020 | 23 | |
| 3 | 2020 | 19 | |
| 4 | 2021 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 3 |
About Laëtitia Largeaud
Laëtitia Largeaud is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Emergency Medicine, having authored 35 papers that have together received 230 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Hematological disorders and diagnostics (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Otitis Media and Relapsing Polychondritis (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (112 citations), Genetics (63 citations), Rheumatology (29 citations), Immunology (39 citations) and Cancer Research (21 citations). Laëtitia Largeaud has collaborated with scholars based in France, Germany and Austria. Frequent co-authors include Jean‐Baptiste Rieu, Christian Récher, Isabelle Luquet, François Vergez, Éric Delabesse, Sarah Bertoli, Véronique Mansat‐De Mas, Suzanne Tavitian, 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.