Virginie Pascal

400 citations
18 papers · 220 · h-index 8

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Virginie Pascal

17 papers receiving 218 citations

Peers

Virginie Pascal
Comparison fields: 5 of 40
  • Nephrology 50
  • Immunology 93
  • Hematology 28
  • Radiology, Nuclear Medicine and Imaging 55
  • Genetics 21
Replace Haowei Wang with:
Haowei Wang United States
Rozenn Le Corre France
Sanki Kodera Japan
Rebecka L. Bourn United States
Y Hamano Japan
Jessica M. Dorschner United States
Charles Nguyen United States
Casandra C. van Bavel Netherlands
Junji Yatsuda Japan
Kathy A. Zimmerman United States
Virginie Pascal relative to Haowei Wang United States Haowei Wang's profile →
Citations per field
00.5×3.8×
Haowei Wang · 1×
Citations per year

Countries citing papers authored by Virginie Pascal

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Pascal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201053
2 201234
3 202028
4 201625
5 202120
6 201215
7 201114
8 202111
9 20094
10 20213
11 20222
12 20242
13 20212
14 20242
15 20122
16 20252
17 20231
18 20250

About Virginie Pascal

Virginie Pascal is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Infectious Diseases, having authored 18 papers that have together received 220 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Renal Diseases and Glomerulopathies (3 papers), T-cell and B-cell Immunology (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Hereditary Neurological Disorders (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Nephrology (50 citations), Immunology (93 citations), Hematology (28 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Genetics (21 citations). Virginie Pascal has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Michel Cogné, Christophe Sirac, Sophie Duchez, Nadine Cogné, Brice Laffleur, Rada Amin, Laurent Delpy, Blaise Corthésy, Armelle Cuvillier and Jean‐Claude Aldigier. Their work appears in journals such as Blood, Kidney International, European Journal of Immunology, iScience and Journal of Infection and Public Health.

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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