Virginia Pascual
- Immunology top 0.1%
- Molecular Biology top 5%
- Rheumatology top 0.2%
- Epidemiology top 2%
- Oncology top 2%
- Co-authors
- Jacques BanchereauDamien ChaussabelKarolina PaluckaMarilynn PunaroHideki UenoLynda BennettFlorence AllantazZhaohui Xu
- Topics
- T-cell and B-cell Immunology (36 papers)Immune Cell Function and Interaction (32 papers)Systemic Lupus Erythematosus Research (21 papers)
- Cited by
- ImmunologyRheumatologyHematology
- Partner nations
- United StatesFranceSpain
In The Last Decade
Virginia Pascual
96 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Immunology 7.2k
- Molecular Biology 2.3k
- Rheumatology 2.3k
- Epidemiology 1.3k
- Oncology 1.1k
Countries citing papers authored by Virginia Pascual
This map shows the geographic impact of Virginia Pascual'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 Virginia Pascual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Pascual more than expected).
Fields of papers citing papers by Virginia Pascual
This network shows the impact of papers produced by Virginia Pascual. 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 Virginia Pascual. The network helps show where Virginia Pascual may publish in the future.
Co-authorship network of co-authors of Virginia Pascual
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Pascual. A scholar is included among the top collaborators of Virginia Pascual 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 Virginia Pascual. Virginia Pascual is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 141 | |
| 5 | 62 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 74 | |
| 9 | 72 | |
| 10 | Induction of ICOS + CXCR3 + CXCR5 + T H Cells Correlates with Antibody Responses to Influenza Vaccinationbreakdown → | 443 |
| 11 | 124 | |
| 12 | Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretionbreakdown → | 1209 |
| 13 | 32 | |
| 14 | 381 | |
| 15 | 158 | |
| 16 | 402 | |
| 17 | 14 | |
| 18 | 74 | |
| 19 | 112 | |
| 20 | 214 |
About Virginia Pascual
Virginia Pascual is a scholar working on Immunology, Rheumatology and Hematology, having authored 98 papers that have together received 10.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Immune Cell Function and Interaction (32 papers) and Systemic Lupus Erythematosus Research (21 papers). The work is most often cited by research in Immunology (7.2k citations), Rheumatology (2.3k citations) and Hematology (939 citations). Virginia Pascual has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Jacques Banchereau, Damien Chaussabel, Karolina Palucka, Marilynn Punaro, Hideki Ueno, Lynda Bennett, Florence Allantaz, Zhaohui Xu, Simone Caielli and Nathalie Schmitt. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.