Laurie Besson

581 citations
13 papers · 386 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 1
    • IL-33, ST2, and ILC Pathways 1
    • Cytokine Signaling Pathways and Interactions 1

Laurie Besson

13 papers receiving 380 citations

Peers

Laurie Besson
Comparison fields: 5 of 58
  • Immunology 280
  • Oncology 90
  • Hematology 27
  • Epidemiology 80
  • Cancer Research 34
Replace Monika Bäumel with:
Monika Bäumel Germany
Alessandra Jales United States
Jennifer M. Burg United States
Agnieszka Karczmarczyk Poland
Hidehiko Narazaki Japan
Man Huang China
Seiji Segawa Japan
Prerak Trivedi Australia
Paolo Tentorio Italy
Fumihiro Yamane Japan
Laurie Besson relative to Monika Bäumel Germany Monika Bäumel's profile →
Citations per field
00.5×5.4×
Monika Bäumel · 1×
Citations per year

Countries citing papers authored by Laurie Besson

Since Specialization
Citations

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

Fields of papers citing papers by Laurie Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laurie Besson, 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 Laurie Besson Line = papers co-authored together Laurie Besson links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201690
2 202178
3 201757
4 201850
5 202130
6 201728
7 201813
8 201813
9 20219
10 20237
11 20185
12 20255
13 20151

About Laurie Besson

Laurie Besson is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Hematology, having authored 13 papers that have together received 386 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (3 papers), Antimicrobial Peptides and Activities (1 paper), interferon and immune responses (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (280 citations), Oncology (90 citations), Hematology (27 citations), Epidemiology (80 citations) and Cancer Research (34 citations). Laurie Besson has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Thierry Walzer, Sébastien Viel, Antoine Marçais, Emily Charrier, Marie Marotel, Emmanuel Disse, Charles Dumontet, Jacques Bienvenu, Christophe Caux and Margaux Hubert. Their work appears in journals such as Cancers, The Journal of Immunology, eLife, SLAS DISCOVERY and Nature Communications.

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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