Anne Largeot

743 citations
23 papers · 574 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 6
    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 2

Anne Largeot

22 papers receiving 569 citations

Peers

Anne Largeot
Comparison fields: 5 of 40
  • Hematology 76
  • Genetics 41
  • Oncology 63
  • Aging 4
  • Immunology 45
Replace Olubunmi Afonja with:
Olubunmi Afonja United States
Agata Karolina Pastorczak Poland
Massimiliano De Bortoli Italy
Subrata Banerjee India
Alexandra N. Christodoulou United States
Mark Y. Chiang United States
Christine E. Birdwell United States
Lüder Hinrich Meyer Germany
In‐Hong Kang South Korea
Aissa Benyoucef Canada
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Citations per field
00.5×2×3×4.1×
Olubunmi Afonja · 1×
Citations per year

Countries citing papers authored by Anne Largeot

Since Specialization
Citations

This map shows the geographic impact of Anne Largeot'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 Anne Largeot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Largeot more than expected).

Fields of papers citing papers by Anne Largeot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Largeot. 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 Anne Largeot. The network helps show where Anne Largeot may publish in the future.

Co-authors

The 25 scholars most cited alongside Anne Largeot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anne Largeot Line = papers co-authored together Anne Largeot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019135
2 201195
3 201459
4 201046
5 201343
6 201633
7 202229
8 202024
9 202116
10 201614
11 202314
12 202013
13 201612
14 202312
15 20236
16 20135
17 20215
18 20245
19 20245
20 20251

About Anne Largeot

Anne Largeot is a scholar working on Genetics, Hematology, Immunology, Molecular Biology and Cancer Research, having authored 23 papers that have together received 574 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Extracellular vesicles in disease (2 papers), Telomeres, Telomerase, and Senescence (1 paper), RNA and protein synthesis mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (76 citations), Genetics (41 citations), Oncology (63 citations), Aging (4 citations) and Immunology (45 citations). Anne Largeot has collaborated with scholars based in Luxembourg, France and United Kingdom. Frequent co-authors include Jérôme Paggetti, Etienne Moussay, Giulia Pagano, Laurent Delva, Romain Aucagne, Brice Lagrange, Éric Solary, Arlette Hammann, Nathalie M Droin and Ernesto Gargiulo. Their work appears in journals such as Blood, Experimental Hematology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Frontiers in Immunology and Advanced Science.

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.

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