Agnès Moine

505 citations
14 papers · 270 · h-index 10

Impact in

  • Biomaterials top 10%
    • Silk-based biomaterials and applications
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Invertebrate Immune Response Mechanisms

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 1

Agnès Moine

14 papers receiving 262 citations

Peers

Agnès Moine
Comparison fields: 5 of 50
  • Biomaterials 116
  • Immunology 123
  • Insect Science 67
  • Hematology 50
  • Transplantation 11
Replace Georg Petkau with:
Georg Petkau Germany
Dan Duan China
Zhuoqi Liu China
Tianxiao Han United States
Thomas M. Merritt United States
Ja‐Hyun Koo South Korea
Sangho Lim South Korea
Raquel de Melo Alves Paiva Brazil
Maolong Lu Canada
Jana Fleischmannová Czechia
Agnès Moine relative to Georg Petkau Germany Georg Petkau's profile →
Citations per field
00.5×8.9×
Georg Petkau · 1×
Citations per year

Countries citing papers authored by Agnès Moine

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Moine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 198373
2 198560
3 200935
4
Prevention of OKT3 nephrotoxicity after kidney transplantation.
199617
5 199515
6 200113
7 199912
8 200710
9 20029
10 20099
11 19906
12 20044
13 19944
14 20003

About Agnès Moine

Agnès Moine is a scholar working on Immunology, Hematology, Molecular Biology, Surgery and Transplantation, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Insect Resistance and Genetics (2 papers), Diabetes Management and Research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Biomaterials (116 citations), Immunology (123 citations), Insect Science (67 citations), Hematology (50 citations) and Transplantation (11 citations). Agnès Moine has collaborated with scholars based in France and Belgium. Frequent co-authors include Jean‐Claude Prudhomme, Pierre Couble, Annie Garel, Martine Chevillard, C Raffoux, Dominique Masson, Jean‐Jacques Sotto, Anne Dormoy, Marc Busson and Frédéric Garban. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Transfusion, Developmental Biology, Blood and Immunogenetics.

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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