Virginie Forest

727 citations
17 papers · 527 · h-index 10

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Immune Cell Function and Interaction 3
    • Immune cells in cancer 2
    • Tissue Engineering and Regenerative Medicine 3

Virginie Forest

16 papers receiving 521 citations

Peers

Virginie Forest
Comparison fields: 5 of 67
  • Genetics 208
  • Biomaterials 109
  • Surgery 198
  • Cardiology and Cardiovascular Medicine 62
  • Immunology 60
Replace Ibrahim Elmadbouh with:
Ibrahim Elmadbouh Egypt
Makoto Sumi Japan
Revanth Kosaraju United States
Chi‐Yeon Park South Korea
Sudhish Sharma United States
Fatemeh Amiri Iran
Ester M. Weijers Netherlands
Sachie Nakao Japan
Yuqiao Chang China
Virginie Forest relative to Ibrahim Elmadbouh Egypt Ibrahim Elmadbouh's profile →
Citations per field
00.5×2.7×
Ibrahim Elmadbouh · 1×
Citations per year

Countries citing papers authored by Virginie Forest

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016131
2 200593
3 201279
4 200946
5 201037
6 200934
7 200330
8 201318
9 202017
10 200313
11 20018
12 20227
13 20206
14 20046
15 20221
16 20241
17 20250

About Virginie Forest

Virginie Forest is a scholar working on Immunology, Surgery, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 527 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Immune Cell Function and Interaction (3 papers), Ion channel regulation and function (2 papers), Neonatal Respiratory Health Research (2 papers), Immune cells in cancer (2 papers) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Genetics (208 citations), Biomaterials (109 citations), Surgery (198 citations), Cardiology and Cardiovascular Medicine (62 citations) and Immunology (60 citations). Virginie Forest has collaborated with scholars based in France, Netherlands and Switzerland. Frequent co-authors include Patricia Lemarchand, Guillaume Lamirault, Christine Sagan, Sarah Fernandes, A. Magnan, S. Dirou, Marie‐Françoise Heymann, Julie Chesné, Faouzi Braza and Vincent Sauzeau. Their work appears in journals such as Stem Cell Research & Therapy, Stem Cell Research, Cellular Immunology, PLoS ONE and Nutrition and Cancer.

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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