Séverine Ménoret

4.2k citations
54 papers · 2.0k · h-index 24

Impact in

Papers in

    • CRISPR and Genetic Engineering 26
    • Pluripotent Stem Cells Research 10
    • RNA Interference and Gene Delivery 8
    • Animal Genetics and Reproduction 17
    • Virus-based gene therapy research 11

Séverine Ménoret

52 papers receiving 1.9k citations

Peers

Séverine Ménoret
Comparison fields: 5 of 100
  • Transplantation 74
  • Aging 44
  • Biological Psychiatry 52
  • Immunology 446
  • Genetics 587
Replace Claire Usal with:
Claire Usal France
Christine Brandt Germany
Joseph R. Podojil United States
Kanchan Rao United Kingdom
Yuanwu Ma China
Mitsuhiro Kanamori Japan
Uimook Choi United States
Norihisa Mikami Japan
Eduardo Chuluyán Argentina
Susan M. Kaech United States
Séverine Ménoret relative to Claire Usal France Claire Usal's profile →
Citations per field
00.5×3.4×
Claire Usal · 1×
Citations per year

Countries citing papers authored by Séverine Ménoret

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Ménoret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016228
2 2007150
3 1998133
4 2009100
5 200297
6 200986
7 200582
8 201280
9 199578
10 201576
11 200274
12 201773
13 201565
14 200258
15 201357
16 200454
17 201050
18 200238
19 200535
20 202033

About Séverine Ménoret

Séverine Ménoret is a scholar working on Molecular Biology, Genetics, Surgery, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (26 papers), Animal Genetics and Reproduction (17 papers), Virus-based gene therapy research (11 papers), Pluripotent Stem Cells Research (10 papers), RNA Interference and Gene Delivery (8 papers), Xenotransplantation and immune response (7 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Transplantation (74 citations), Aging (44 citations), Biological Psychiatry (52 citations), Immunology (446 citations) and Genetics (587 citations). Séverine Ménoret has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ignacio Anegón, Laurent Tesson, Claire Usal, Séverine Remy, Régis Josien, Alexandre Fraichard, Reynald Thinard, María Cristina Cuturi, Anne De Cian and Jean‐Paul Soulillou. Their work appears in journals such as Transgenic Research, Transplantation, The Journal of Immunology, Scientific Reports and Molecular Medicine.

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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