Valentina Casella

1.2k total citations · 1 hit paper
13 papers, 658 citations indexed

About

Valentina Casella is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Valentina Casella has authored 13 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Valentina Casella's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers) and interferon and immune responses (3 papers). Valentina Casella is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers) and interferon and immune responses (3 papers). Valentina Casella collaborates with scholars based in Spain, Russia and Japan. Valentina Casella's 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 and has published in prestigious journals such as Immunity, The Journal of Immunology and Genome Research.

In The Last Decade

Valentina Casella

12 papers receiving 653 citations

Hit Papers

Developmental Relationships of Four Exhausted CD8+ T Cell... 2020 2026 2022 2024 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Developmental Relationships of Four Exhausted CD8+ T Cell Subsets Reveals Underlying Transcriptional and Epigenetic Landscape Control Mechanisms
    2020 598 citations Jean‐Christophe Beltra, Sasikanth Manne et al. Immunity profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentina Casella Spain 6 486 412 137 40 34 13 658
Leticia Barba Switzerland 6 676 1.4× 643 1.6× 150 1.1× 38 0.9× 42 1.2× 6 890
Samuel Alsén Sweden 9 513 1.1× 277 0.7× 191 1.4× 41 1.0× 56 1.6× 15 737
Jean‐Christophe Beltra United States 8 737 1.5× 595 1.4× 195 1.4× 54 1.4× 47 1.4× 9 962
Douglas E. Kline United States 11 511 1.1× 228 0.6× 165 1.2× 40 1.0× 52 1.5× 15 664
Anniek B. van der Waart Netherlands 13 458 0.9× 360 0.9× 150 1.1× 22 0.6× 45 1.3× 22 638
Sarah S. Gabriel Australia 9 537 1.1× 368 0.9× 193 1.4× 47 1.2× 51 1.5× 14 746
Elien M. Doorduijn Netherlands 10 663 1.4× 496 1.2× 222 1.6× 55 1.4× 51 1.5× 12 867
Mina O. Seedhom United States 8 271 0.6× 209 0.5× 148 1.1× 38 0.9× 49 1.4× 14 503
Casey Moore United States 9 315 0.6× 253 0.6× 191 1.4× 40 1.0× 31 0.9× 16 536
Simone L. Park Australia 13 741 1.5× 344 0.8× 230 1.7× 45 1.1× 40 1.2× 16 983

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 of co-authors of Valentina Casella

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Casella. A scholar is included among the top collaborators of Valentina Casella 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 Valentina Casella. Valentina Casella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Squillario, Margherita, Valentina Casella, Matteo Capaia, et al.. (2025). Butyrate enhances CD56bright NK cell-driven killing of activated T cells and modulates NK cell chromatin accessibility. Genes and Immunity. 26(4). 342–351. 1 indexed citations
2.
Casella, Valentina, Paula Cebollada Rica, Jordi Argilaguet, et al.. (2024). Anti-PD-L1 Immunotherapy of Chronic Virus Infection Improves Virus Control without Augmenting Tissue Damage by Fibrosis. Viruses. 16(5). 799–799. 1 indexed citations
3.
Casella, Valentina, Anna Esteve‐Codina, Mireia Pedragosa, et al.. (2023). Differential kinetics of splenic CD169+ macrophage death is one underlying cause of virus infection fate regulation. Cell Death and Disease. 14(12). 838–838. 2 indexed citations
4.
Casella, Valentina, et al.. (2023). Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication. Mathematics. 11(21). 4454–4454. 1 indexed citations
5.
Casella, Valentina, Even Fossum, Mireia Pedragosa, et al.. (2023). XCR1+ DCs are critical for T cell-mediated immunotherapy of chronic viral infections. Cell Reports. 42(2). 112123–112123. 9 indexed citations
6.
Karsonova, Antonina, et al.. (2022). Predicting the Kinetic Coordination of Immune Response Dynamics in SARS-CoV-2 Infection: Implications for Disease Pathogenesis. Mathematics. 10(17). 3154–3154. 12 indexed citations
7.
Bocharov, Gennady, et al.. (2022). Functional cure of a chronic virus infection by shifting the virus - host equilibrium state. Frontiers in Immunology. 13. 904342–904342. 4 indexed citations
8.
Bocharov, Gennady, Valentina Casella, Jordi Argilaguet, et al.. (2020). Numbers Game and Immune Geography as Determinants of Coronavirus Pathogenicity. Frontiers in Cellular and Infection Microbiology. 10. 559209–559209. 5 indexed citations
9.
Beltra, Jean‐Christophe, Sasikanth Manne, Mohamed S. Abdel-Hakeem, et al.. (2020). Developmental relationships of four exhausted CD8 T cell subsets reveals underlying transcriptional and epigenetic control mechanisms. The Journal of Immunology. 204(1_Supplement). 77.16–77.16. 2 indexed citations
10.
Casella, Valentina, Jordi Argilaguet, Mireia Pedragosa, et al.. (2020). The spatiotemporal dynamics of type I IFN response determine viral infection outcome. The Journal of Immunology. 204(1_Supplement). 75.12–75.12.
11.
Beltra, Jean‐Christophe, Sasikanth Manne, Mohamed S. Abdel-Hakeem, et al.. (2020). Developmental Relationships of Four Exhausted CD8+ T Cell Subsets Reveals Underlying Transcriptional and Epigenetic Landscape Control Mechanisms. Immunity. 52(5). 825–841.e8. 598 indexed citations breakdown →
12.
Argilaguet, Jordi, Mireia Pedragosa, Anna Esteve‐Codina, et al.. (2019). Systems analysis reveals complex biological processes during virus infection fate decisions. Genome Research. 29(6). 907–919. 18 indexed citations
13.
Pedragosa, Mireia, Valentina Casella, Anna Esteve‐Codina, et al.. (2019). Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections. Frontiers in Immunology. 10. 1002–1002. 5 indexed citations

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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