R. Pérez

42 total papers · 757 total citations
30 papers, 593 citations indexed

About

R. Pérez is a scholar working on Molecular Biology, Surgery and Cognitive Neuroscience. According to data from OpenAlex, R. Pérez has authored 30 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Cognitive Neuroscience. Recurrent topics in R. Pérez's work include Visual perception and processing mechanisms (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Retinal Development and Disorders (3 papers). R. Pérez is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Retinal Development and Disorders (3 papers). R. Pérez collaborates with scholars based in Spain, United States and Argentina. R. Pérez's co-authors include Francisco González, Manuel Sánchez‐Salorio, C. Capeáns, Antonio Martı́nez, Yurong Bu, Becky Adkins, Enriqué Cepero, Steven M. Rudich, John P. McVicar and Bruce M. Wolfe and has published in prestigious journals such as The Journal of Immunology, Neuroscience and Progress in Neurobiology.

In The Last Decade

R. Pérez

29 papers receiving 573 citations

Author Peers

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

Author						Papers	Cites
R. Pérez	174	117	97	84	78	30	593
David Dubayle	82 0.5×	34 0.3×	145 1.5×	59 0.7×	53 0.7×	21	607
N. Christoff	77 0.4×	39 0.3×	63 0.6×	43 0.5×	143 1.8×	23	666
Georges Khazen	117 0.7×	25 0.2×	94 1.0×	53 0.6×	65 0.8×	36	569
Yvonne Wang	45 0.3×	74 0.6×	201 2.1×	60 0.7×	31 0.4×	29	589
Angela M. Chen	64 0.4×	90 0.8×	124 1.3×	44 0.5×	64 0.8×	23	652
Qianyi Luo	82 0.5×	70 0.6×	318 3.3×	28 0.3×	29 0.4×	50	657
R Marteau	32 0.2×	41 0.4×	62 0.6×	50 0.6×	25 0.3×	50	631
Catherine A. Smith	104 0.6×	26 0.2×	103 1.1×	26 0.3×	53 0.7×	21	662
Jacqueline T. DesJardin	207 1.2×	34 0.3×	70 0.7×	22 0.3×	44 0.6×	25	501
Daniel F. Goodman	153 0.9×	370 3.2×	65 0.7×	43 0.5×	34 0.4×	12	658

Countries citing papers authored by R. Pérez

Since Specialization

Citations

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

Fields of papers citing papers by R. Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of R. Pérez. A scholar is included among the top collaborators of R. Pérez 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 R. Pérez. R. Pérez 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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