Pedro C. Marijuán

115 total papers · 1.2k total citations
73 papers, 792 citations indexed

About

Pedro C. Marijuán is a scholar working on Molecular Biology, Astronomy and Astrophysics and Cognitive Neuroscience. According to data from OpenAlex, Pedro C. Marijuán has authored 73 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Astronomy and Astrophysics and 13 papers in Cognitive Neuroscience. Recurrent topics in Pedro C. Marijuán's work include Origins and Evolution of Life (13 papers), Plant and Biological Electrophysiology Studies (7 papers) and Evolutionary Game Theory and Cooperation (7 papers). Pedro C. Marijuán is often cited by papers focused on Origins and Evolution of Life (13 papers), Plant and Biological Electrophysiology Studies (7 papers) and Evolutionary Game Theory and Cooperation (7 papers). Pedro C. Marijuán collaborates with scholars based in Spain, United States and Canada. Pedro C. Marijuán's co-authors include Jorge Navarro, Raquel del Moral, Juan Cacho, Vanessa Ferreira, Morris Villarroel, Rafael Lahoz-Beltrá, José Antonio Bea, Arturo Tozzi, James F. Peters and Alexander A. Fingelkurts and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Pedro C. Marijuán

65 papers receiving 685 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro C. Marijuán 226 176 133 114 97 73 792
Pamela Lyon 188 0.8× 324 1.8× 347 2.6× 106 0.9× 98 1.0× 23 869
M. W. Ho 236 1.0× 30 0.2× 61 0.5× 77 0.7× 117 1.2× 27 864
Michel Bitbol 51 0.2× 221 1.3× 38 0.3× 84 0.7× 41 0.4× 63 719
Artemy Kolchinsky 127 0.6× 201 1.1× 31 0.2× 27 0.2× 27 0.3× 35 675
Arturo Tozzi 73 0.3× 336 1.9× 46 0.3× 50 0.4× 8 0.1× 72 688
Carlos Rodríguez‐Caso 599 2.7× 29 0.2× 37 0.3× 68 0.6× 51 0.5× 27 870
James F. Glazebrook 87 0.4× 194 1.1× 49 0.4× 77 0.7× 31 0.3× 70 735
Paco Calvo 44 0.2× 225 1.3× 438 3.3× 27 0.2× 52 0.5× 33 817
Dominique Chu 483 2.1× 32 0.2× 34 0.3× 38 0.3× 46 0.5× 54 873
Pauline Hogeweg 198 0.9× 28 0.2× 44 0.3× 31 0.3× 126 1.3× 22 721

Countries citing papers authored by Pedro C. Marijuán

Since Specialization
Citations

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

Fields of papers citing papers by Pedro C. Marijuán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro C. Marijuán. 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 Pedro C. Marijuán. The network helps show where Pedro C. Marijuán may publish in the future.

Co-authorship network of co-authors of Pedro C. Marijuán

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro C. Marijuán. A scholar is included among the top collaborators of Pedro C. Marijuán 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 Pedro C. Marijuán. Pedro C. Marijuán 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