Juan Díaz‐Colunga

37 total papers · 1.0k total citations
17 papers, 503 citations indexed

About

Juan Díaz‐Colunga is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Juan Díaz‐Colunga has authored 17 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Sociology and Political Science. Recurrent topics in Juan Díaz‐Colunga's work include Evolution and Genetic Dynamics (9 papers), Gene Regulatory Network Analysis (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Juan Díaz‐Colunga is often cited by papers focused on Evolution and Genetic Dynamics (9 papers), Gene Regulatory Network Analysis (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Juan Díaz‐Colunga collaborates with scholars based in Spain, United States and Portugal. Juan Díaz‐Colunga's co-authors include Álvaro Sánchez, Jean C. C. Vila, Francisco J. Iborra, Raúl Guantes, Chang‐Yu Chang, Ricardo Pires das Neves, Djordje Bajić, María Rebolleda‐Gómez, Sylvie Estrela and Mikhail Tikhonov and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Juan Díaz‐Colunga

17 papers receiving 503 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juan Díaz‐Colunga 305 101 89 70 50 17 503
Steven Wu 179 0.6× 72 0.7× 79 0.9× 17 0.2× 109 2.2× 21 560
Gracia Bonilla 372 1.2× 141 1.4× 86 1.0× 57 0.8× 14 0.3× 11 495
Riddhiman Dhar 460 1.5× 102 1.0× 26 0.3× 17 0.2× 74 1.5× 21 587
Putthapoom Lumjiaktase 298 1.0× 109 1.1× 44 0.5× 12 0.2× 57 1.1× 20 508
Robert L. Bertrand 204 0.7× 47 0.5× 40 0.4× 8 0.1× 143 2.9× 20 505
Mohammed Rizman‐Idid 95 0.3× 91 0.9× 70 0.8× 15 0.2× 48 1.0× 35 457
Hongjie Li 72 0.2× 198 2.0× 39 0.4× 17 0.2× 73 1.5× 27 512
Anne Vatland Krøvel 120 0.4× 171 1.7× 22 0.2× 39 0.6× 26 0.5× 15 491
Balaji Santhanam 309 1.0× 28 0.3× 21 0.2× 17 0.2× 45 0.9× 20 500
Kami Chiotti 361 1.2× 116 1.1× 19 0.2× 25 0.4× 38 0.8× 13 488

Countries citing papers authored by Juan Díaz‐Colunga

Since Specialization
Citations

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

Fields of papers citing papers by Juan Díaz‐Colunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Díaz‐Colunga. 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 Juan Díaz‐Colunga. The network helps show where Juan Díaz‐Colunga may publish in the future.

Co-authorship network of co-authors of Juan Díaz‐Colunga

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

All Works

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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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2026