Carlos P. Roca

2.8k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Carlos P. Roca is a scholar working on Sociology and Political Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Carlos P. Roca has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 11 papers in Molecular Biology and 9 papers in Materials Chemistry. Recurrent topics in Carlos P. Roca's work include Evolutionary Game Theory and Cooperation (12 papers), Nanoparticles: synthesis and applications (9 papers) and Evolution and Genetic Dynamics (5 papers). Carlos P. Roca is often cited by papers focused on Evolutionary Game Theory and Cooperation (12 papers), Nanoparticles: synthesis and applications (9 papers) and Evolution and Genetic Dynamics (5 papers). Carlos P. Roca collaborates with scholars based in Spain, Denmark and Portugal. Carlos P. Roca's co-authors include Ángel Sánchez, José A. Cuesta, Dirk Helbing, Janeck J. Scott‐Fordsmand, Mónica J.B. Amorim, Susana I.L. Gomes, Adrian Liston, Nivedita Chatterjee, Jinhee Choi and Stéphanie Humblet‐Baron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Carlos P. Roca

34 papers receiving 1.6k citations

Hit Papers

Evolutionary game theory: Temporal and spatial effects be... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Carlos P. Roca
Da Zhou China
Christine Taylor United Kingdom
Dennis Lendrem United Kingdom
Hang-Hyun Jo South Korea
Carlos P. Roca
Citations per year, relative to Carlos P. Roca Carlos P. Roca (= 1×) peers Mingfeng He

Countries citing papers authored by Carlos P. Roca

Since Specialization
Citations

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

Fields of papers citing papers by Carlos P. Roca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos P. Roca. 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 Carlos P. Roca. The network helps show where Carlos P. Roca may publish in the future.

Co-authorship network of co-authors of Carlos P. Roca

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

All Works

20 of 20 papers shown
1.
Kato, Gregory J., Tomasz W. Kamiński, Paolo Rossato, et al.. (2025). G-CSF receptor is a signaling node linking thrombo-inflammation to vaso-occlusion in sickle cell disease: Target for a new phase 2 trial. Blood. 146(Supplement 1). 838–838.
2.
Burton, Oliver T., Orian Bricard, Samar Tareen, et al.. (2024). The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program. Immunity. 57(7). 1586–1602.e10. 28 indexed citations
3.
Gomes, Susana I.L., Carlos P. Roca, Suman Pokhrel, et al.. (2023). TiO2 nanoparticles' library toxicity (UV and non-UV exposure) – High-throughput in vivo transcriptomics reveals mechanisms. NanoImpact. 30. 100458–100458. 4 indexed citations
4.
Roca, Carlos P., Oliver T. Burton, Václav Gergelits, et al.. (2021). AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data. Nature Communications. 12(1). 2890–2890. 23 indexed citations
5.
Nieuwenhove, Erika Van, Vasiliki Lagou, Lien Van Eyck, et al.. (2019). Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes. Annals of the Rheumatic Diseases. 78(5). 617–628. 29 indexed citations
6.
Humblet‐Baron, Stéphanie, et al.. (2018). Murine myeloproliferative disorder as a consequence of impaired collaboration between dendritic cells and CD4 T cells. Blood. 133(4). 319–330. 11 indexed citations
7.
Gomes, Susana I.L., Carlos P. Roca, Janeck J. Scott‐Fordsmand, & Mónica J.B. Amorim. (2018). High-throughput transcriptomics: Insights into the pathways involved in (nano) nickel toxicity in a key invertebrate test species. Environmental Pollution. 245. 131–140. 34 indexed citations
8.
Gomes, Susana I.L., Carlos P. Roca, Janeck J. Scott‐Fordsmand, & Mónica J.B. Amorim. (2018). Identifying conserved UV exposure genes and mechanisms. Scientific Reports. 8(1). 8605–8605. 8 indexed citations
9.
Jeong, Jaeseong, Nivedita Chatterjee, Carlos P. Roca, et al.. (2017). JAK/STAT and TGF-ß activation as potential adverse outcome pathway of TiO2NPs phototoxicity in Caenorhabditis elegans. Scientific Reports. 7(1). 17833–17833. 15 indexed citations
10.
Roca, Carlos P., Susana I.L. Gomes, Mónica J.B. Amorim, & Janeck J. Scott‐Fordsmand. (2017). Variation-preserving normalization unveils blind spots in gene expression profiling. Scientific Reports. 7(1). 42460–42460. 17 indexed citations
11.
Roca, Carlos P., Susana I.L. Gomes, Mónica J.B. Amorim, & Janeck J. Scott‐Fordsmand. (2015). A novel normalization approach unveils blind spots in gene expression profiling. arXiv (Cornell University). 1 indexed citations
12.
Amorim, Mónica J.B., Carlos P. Roca, & Janeck J. Scott‐Fordsmand. (2015). Effect assessment of engineered nanoparticles in solid media – Current insight and the way forward. Environmental Pollution. 218. 1370–1375. 22 indexed citations
13.
Eom, Hyun-Jeong, Carlos P. Roca, Ji‐Yeon Roh, et al.. (2015). A systems toxicology approach on the mechanism of uptake and toxicity of MWCNT in Caenorhabditis elegans. Chemico-Biological Interactions. 239. 153–163. 31 indexed citations
14.
Efferson, Charles, Carlos P. Roca, Sonja Vogt, & Dirk Helbing. (2015). Sustained cooperation by running away from bad behavior. Evolution and Human Behavior. 37(1). 1–9. 24 indexed citations
15.
Roca, Carlos P., Sergi Lozano, Àlex Arenas, & Ángel Sánchez. (2010). Topological Traps Control Flow on Real Networks: The Case of Coordination Failures. PLoS ONE. 5(12). e15210–e15210. 19 indexed citations
16.
Roca, Carlos P., José A. Cuesta, & Ángel Sánchez. (2009). Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 583 indexed citations breakdown →
17.
Roca, Carlos P., José A. Cuesta, & Ángel Sánchez. (2009). Promotion of cooperation on networks? The myopic best response case. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 50 indexed citations
18.
Roca, Carlos P.. (2009). Cooperation in evolutionary game theory: effects of time and structure. Dialnet (Universidad de la Rioja). 1500(1). 142–6. 1 indexed citations
19.
Roca, Carlos P., José A. Cuesta, & Ángel Sánchez. (2008). Sorting out the effect of spatial structure on the emergence of cooperation. arXiv (Cornell University). 3 indexed citations
20.
Roca, Carlos P., José A. Cuesta, & Ángel Sánchez. (2006). Time Scales in Evolutionary Dynamics. Physical Review Letters. 97(15). 158701–158701. 158 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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