Agnès Moine

501 total citations
14 papers, 265 citations indexed

About

Agnès Moine is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Agnès Moine has authored 14 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Agnès Moine's work include T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immunotherapy and Immune Responses (4 papers). Agnès Moine is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immunotherapy and Immune Responses (4 papers). Agnès Moine collaborates with scholars based in France and Belgium. Agnès Moine's co-authors include Pierre Couble, Jean‐Claude Prudhomme, Annie Garel, Martine Chevillard, C Raffoux, Dominique Charron, Marc Busson, Katia Gagne, Frédéric Garban and Dominique Masson and has published in prestigious journals such as Nucleic Acids Research, Blood and Developmental Biology.

In The Last Decade

Agnès Moine

14 papers receiving 256 citations

Peers

Agnès Moine
Georg Petkau Germany
Zhuoqi Liu China
Raquel de Melo Alves Paiva Brazil
Maolong Lu Canada
Ja‐Hyun Koo South Korea
Sangho Lim South Korea
Jamil Amjad Hashmi Saudi Arabia
Chunjing Qu United States
Duk Jae Oh South Korea
Timothy L. Sita United States
Georg Petkau Germany
Agnès Moine
Citations per year, relative to Agnès Moine Agnès Moine (= 1×) peers Georg Petkau

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-authorship network of co-authors of Agnès Moine

This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Moine. A scholar is included among the top collaborators of Agnès Moine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agnès Moine. Agnès Moine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Gagne, Katia, Marc Busson, Jean‐Denis Bignon, et al.. (2009). Donor KIR3DL1/3DS1 Gene and Recipient Bw4 KIR Ligand as Prognostic Markers for Outcome in Unrelated Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 15(11). 1366–1375. 34 indexed citations
2.
Laurin, David, Dalil Hannani, Martine Pernollet, et al.. (2009). Immunomonitoring of graft‐versus‐host minor histocompatibility antigen correlates with graft‐versus‐host disease and absence of relapse after graft. Transfusion. 50(2). 418–428. 9 indexed citations
3.
Gagne, Katia, Marc Busson, Léna Absi, et al.. (2007). Relevance of KIR gene matching in unrelated hematopoietic stem cell transplantations. Tissue Antigens. 69(s1). 118–122. 10 indexed citations
4.
Lafarge, Xavier, et al.. (2004). An HLA‐A*2607 variant (A*260702) independently identified in two unrelated French families. Tissue Antigens. 64(1). 78–80. 3 indexed citations
5.
Chaperot, Laurence, Olivier Manches, Agnès Moine, et al.. (2002). Differentiation of anti‐tumour cytotoxic T lymphocytes from autologous peripheral blood lymphocytes in non‐Hodgkin's lymphomas. British Journal of Haematology. 119(2). 425–431. 9 indexed citations
6.
Fort, M., John Clayton, M. Abbal, et al.. (2001). Microsatellites in the HLA region: HLA prediction and strategies for bone marrow donor registries. Transplantation Proceedings. 33(1-2). 491–492. 13 indexed citations
7.
8.
Martin, Isabelle, Thierry Bonnefoix, Agnès Moine, et al.. (1999). Role of autologous CD4+ T cell clones in human B non-Hodgkin's lymphoma: aborted activation and G1 blockade induced by cell-cell contact. European Journal of Immunology. 29(10). 3188–3195. 12 indexed citations
9.
Abramowicz, Daniel, Agnès Moine, Jean‐Marc Doutrelepont, et al.. (1996). Prevention of OKT3 nephrotoxicity after kidney transplantation.. PubMed. 53. S39–43. 17 indexed citations
10.
11.
Moine, Agnès & S. Sridhara. (1994). Molecular characterization of four genes expressed in the silkmoth wing epidermis during adult development. Insect Biochemistry and Molecular Biology. 24(9). 919–928. 4 indexed citations
12.
Martell, M., A. Marcadet, Agnès Moine, et al.. (1990). Heterogeneity of HLA genetic factors in IDDM susceptibility. Immunogenetics. 31(4). 6 indexed citations
13.
Couble, Pierre, et al.. (1985). Structural organization of the P25gene ofBombyx moriand comparative analysis of its 5′ flanking DNA with that of the fibroin gene. Nucleic Acids Research. 13(5). 1801–1814. 58 indexed citations
14.
Couble, Pierre, Agnès Moine, Annie Garel, & Jean‐Claude Prudhomme. (1983). Developmental variations of a nonfibroin mRNA of Bombyx mori silkgland, encoding for a low-molecular-weight silk protein. Developmental Biology. 97(2). 398–407. 72 indexed citations

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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