Anne Largeot

709 citations
17 papers · 468 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Genomics and Chromatin Dynamics 3
    • Protein Degradation and Inhibitors 2
    • Epigenetics and DNA Methylation 2
    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Anne Largeot

17 papers receiving 465 citations

Peers

Anne Largeot
Comparison fields: 5 of 64
  • Immunology 176
  • Hematology 90
  • Genetics 55
  • Cancer Research 75
  • Oncology 120
Replace Lise Forfang with:
Lise Forfang Norway
Ruth Scheicher Austria
Jayakumar Vadakekolathu United Kingdom
Jun Mo United States
Cristina Baricordi Italy
Weiqi Huang United States
Hyung C. Suh United States
Ingrid M. Ariës Netherlands
Ganesan Keerthivasan United States
Veena Krishnamoorthy United States
Anne Largeot relative to Lise Forfang Norway Lise Forfang's profile →
Citations per field
00.5×1.5×2.3×
Lise Forfang · 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

17 of 17 papers shown
#Work
1 2019121
2 201189
3 201457
4 201044
5 201340
6 201629
7 202020
8 201614
9 202113
10 201610
11 202010
12 20237
13 20135
14 20214
15 20233
16 20241
17 20241

About Anne Largeot

Anne Largeot is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Cancer Research, having authored 17 papers that have together received 468 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Genomics and Chromatin Dynamics (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (2 papers), Protein Degradation and Inhibitors (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology (176 citations), Hematology (90 citations), Genetics (55 citations), Cancer Research (75 citations) and Oncology (120 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, Jean Bastié, Romain Aucagne, Brice Lagrange, Éric Solary, Arlette Hammann and Nathalie Droin. Their work appears in journals such as Frontiers in Immunology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Experimental Hematology, Cancers and Frontiers in Oncology.

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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