Isabelle Miconnet

2.0k total citations
37 papers, 1.7k citations indexed

About

Isabelle Miconnet is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Isabelle Miconnet has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 16 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Isabelle Miconnet's work include Immunotherapy and Immune Responses (24 papers), T-cell and B-cell Immunology (12 papers) and vaccines and immunoinformatics approaches (11 papers). Isabelle Miconnet is often cited by papers focused on Immunotherapy and Immune Responses (24 papers), T-cell and B-cell Immunology (12 papers) and vaccines and immunoinformatics approaches (11 papers). Isabelle Miconnet collaborates with scholars based in France, Switzerland and United States. Isabelle Miconnet's co-authors include Philippe Guillaume, Jean‐Charles Cerottini, Pedro Romero, Frédéric Lévy, Thierry Roger, Sébastien Cornet, Thierry Calandra, H. Robson MacDonald, Laurence Chapatte and Daniela Finke and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Isabelle Miconnet

37 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Isabelle Miconnet France 18 1.2k 757 366 250 169 37 1.7k
Guy Warnier Belgium 20 1.6k 1.3× 461 0.6× 527 1.4× 168 0.7× 242 1.4× 30 2.1k
Lorraine T. Tygrett United States 20 1.6k 1.3× 493 0.7× 295 0.8× 117 0.5× 312 1.8× 25 2.2k
David S. Schoenhaut United States 9 1.5k 1.2× 428 0.6× 320 0.9× 165 0.7× 461 2.7× 9 2.2k
P M Quinn United States 8 2.0k 1.6× 368 0.5× 641 1.8× 267 1.1× 327 1.9× 9 2.6k
Anabel Silva Australia 18 892 0.7× 568 0.8× 568 1.6× 271 1.1× 181 1.1× 21 1.9k
Fernando Esquivel‐Guadarrama Mexico 21 1.1k 0.9× 509 0.7× 416 1.1× 220 0.9× 357 2.1× 49 1.8k
A G Wolitzky United States 7 2.0k 1.6× 364 0.5× 641 1.8× 267 1.1× 327 1.9× 7 2.5k
Gayle M. Davey Australia 30 3.1k 2.6× 755 1.0× 730 2.0× 239 1.0× 297 1.8× 44 3.7k
Gen‐ichiro Sano Japan 15 1.8k 1.5× 513 0.7× 256 0.7× 128 0.5× 299 1.8× 18 2.6k
Marianne Mangeney France 21 637 0.5× 854 1.1× 152 0.4× 224 0.9× 152 0.9× 33 1.6k

Countries citing papers authored by Isabelle Miconnet

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Miconnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Miconnet

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Miconnet. A scholar is included among the top collaborators of Isabelle Miconnet 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 Isabelle Miconnet. Isabelle Miconnet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miconnet, Isabelle. (2011). Probing the T-cell receptor repertoire with deep sequencing. Current Opinion in HIV and AIDS. 7(1). 64–70. 14 indexed citations
2.
Miconnet, Isabelle & Giuseppe Pantaleo. (2008). A soluble hexameric form of CD40 ligand activates human dendritic cells and augments memory T cell response. Vaccine. 26(32). 4006–4014. 16 indexed citations
3.
Faure, Olivier, Stéphanie Graff‐Dubois, Pedro M. Sousa Alves, et al.. (2007). Induction of multiple CD8+ T cell responses against the inducible Hsp70 employing an Hsp70 oligoepitope peptide. Oncology Reports. 17(3). 679–85. 4 indexed citations
4.
Mavroudis, Dimitriοs, Sébastien Cornet, Peggy Kanellou, et al.. (2006). A Phase I Study of the Optimized Cryptic Peptide TERT<sub>572Y</sub> in Patients with Advanced Malignancies. Oncology. 70(4). 306–314. 47 indexed citations
5.
Alves, Pedro M. Sousa, Olivier Faure, Stéphanie Graff‐Dubois, et al.. (2006). STEAP, a prostate tumor antigen, is a target of human CD8+ T cells. Cancer Immunology Immunotherapy. 55(12). 1515–1523. 57 indexed citations
6.
7.
Cornet, Sébastien, et al.. (2005). Optimal organization of a polypeptide-based candidate cancer vaccine composed of cryptic tumor peptides with enhanced immunogenicity. Vaccine. 24(12). 2102–2109. 10 indexed citations
8.
Esslinger, Christoph, Laurence Chapatte, Daniela Finke, et al.. (2003). In vivo administration of a lentiviral vaccine targets DCs and induces efficient CD8+ T cell responses. Journal of Clinical Investigation. 111(11). 1673–1681. 120 indexed citations
9.
Alves, Pedro M. Sousa, Olivier Faure, Stéphanie Graff‐Dubois, et al.. (2003). EphA2 as target of anticancer immunotherapy: identification of HLA-A*0201-restricted epitopes.. PubMed. 63(23). 8476–80. 47 indexed citations
10.
Miconnet, Isabelle, Daniel E. Speiser, Arthur Μ. Krieg, et al.. (2002). CpG Are Efficient Adjuvants for Specific CTL Induction Against Tumor Antigen-Derived Peptide. The Journal of Immunology. 168(3). 1212–1218. 123 indexed citations
11.
Miconnet, Isabelle, et al.. (2002). Testing mouse mammary tumor virus superantigen as adjuvant in cytotoxic T‐lymphocyte responses against a melanoma tumor antigen. International Journal of Cancer. 99(2). 201–206. 3 indexed citations
12.
Miconnet, Isabelle, Isabelle Coste, Friedrich Beermann, et al.. (2001). Cancer Vaccine Design: A Novel Bacterial Adjuvant for Peptide-Specific CTL Induction. The Journal of Immunology. 166(7). 4612–4619. 45 indexed citations
13.
Valmori, Danila, Frédéric Lévy, Isabelle Miconnet, et al.. (2000). Induction of Potent Antitumor CTL Responses by Recombinant Vaccinia Encoding a Melan-A Peptide Analogue. The Journal of Immunology. 164(2). 1125–1131. 64 indexed citations
14.
Miconnet, Isabelle. (2000). Amino acid identity and/or position determine the proteasomal cleavage of the HLA-A*0201-restricted peptide tumor antigen MAGE-3271-279. Journal of Biological Chemistry. 275(35). 26892–7. 15 indexed citations
15.
Jeannin, Pascale, Toufic Renno, Liliane Goetsch, et al.. (2000). OmpA targets dendritic cells, induces their maturation and delivers antigen into the MHC class I presentation pathway. Nature Immunology. 1(6). 502–509. 192 indexed citations
16.
17.
Miconnet, Isabelle, et al.. (1994). Tissue distribution and polymorphism of minor histocompatibility antigens involved in GVHR. Immunogenetics. 39(3). 178–186. 11 indexed citations
18.
Roger, Thierry, Isabelle Miconnet, M. Bruley-Rosset, & Michel Séman. (1994). Coding sequence polymorphism of Tcrg-V1, -V2, and -V4 genes in mice bearing Tcr-gA and -gC haplotypes. Immunogenetics. 39(1). 68–70. 2 indexed citations
19.
20.
Miconnet, Isabelle, R. Huchet, C Canon, et al.. (1990). Graft-versus-host mortality induced by noncytolytic CD4+ T cell clones specific for non-H-2 antigens.. The Journal of Immunology. 145(7). 2123–2131. 24 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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