Valentina Casella

1.2k citations
13 papers · 658 indexed · 1 hit paper · h-index 6

Valentina Casella

12 papers receiving 653 citations

Hit Papers

Developmental Relationships of Four Exhausted CD8+ T Cell...5982020202620222024100200300400500

Peers

Valentina Casella
Comparison fields: 5 of 51
  • Immunology 486
  • Oncology 412
  • Modeling and Simulation 18
  • Cancer Research 40
  • Molecular Biology 137
Replace Jean‐Christophe Beltra with:
Jean‐Christophe Beltra United States
Elien M. Doorduijn Netherlands
Kito Nzingha United States
Ting Lu United States
Pierre Bourdely France
Jens Pahl Germany
Hilde Omholt Norway
Michael Fehlings Singapore
Capucine L. Grandjean France
Casey Moore United States
Valentina Casella relative to Jean‐Christophe Beltra United States Jean‐Christophe Beltra's profile →
Citations per field
00.5×
Jean‐Christophe Beltra · 1×
Citations per year

Countries citing papers authored by Valentina Casella

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Casella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 20241
3 20232
4 20231
5 20239
6 202212
7 20224
8 20205
9 20202
10 20200
11
Developmental Relationships of Four Exhausted CD8+ T Cell Subsets Reveals Underlying Transcriptional and Epigenetic Landscape Control Mechanismsbreakdown →
2020598
12 201918
13 20195

About Valentina Casella

Valentina Casella is a scholar working on Modeling and Simulation, Immunology and Infectious Diseases, having authored 13 papers that have together received 658 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers), interferon and immune responses (3 papers), Immunotherapy and Immune Responses (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (486 citations), Oncology (412 citations) and Modeling and Simulation (18 citations). Valentina Casella has collaborated with scholars based in Spain, Russia and Japan. Frequent co-authors include Makoto Kurachi, Alexander C. Huang, E. John Wherry, Ravi K. Amaravadi, Giorgos C. Karakousis, Lynn M. Schuchter, Sasikanth Manne, Mohamed S. Abdel-Hakeem, Xiaowei Xu and Yinghui Huang. Their work appears in journals such as Immunity, The Journal of Immunology and Genome Research.

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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