Daniel García‐Pérez

64 total papers · 601 total citations
42 papers, 398 citations indexed

About

Daniel García‐Pérez is a scholar working on Cellular and Molecular Neuroscience, Neurology and Surgery. According to data from OpenAlex, Daniel García‐Pérez has authored 42 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 14 papers in Neurology and 13 papers in Surgery. Recurrent topics in Daniel García‐Pérez's work include Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Spinal Fractures and Fixation Techniques (7 papers) and Cerebrospinal fluid and hydrocephalus (7 papers). Daniel García‐Pérez is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Spinal Fractures and Fixation Techniques (7 papers) and Cerebrospinal fluid and hydrocephalus (7 papers). Daniel García‐Pérez collaborates with scholars based in Spain and Hungary. Daniel García‐Pérez's co-authors include M. Victoria Milanés, Cristina Núñez, M. Luisa Laorden, Alfonso Lagares, Igor Paredes, M. Luisa Laorden, Ana M. Castaño‐León, Ángel Pérez‐Núñez, Raquel E. Rodrı́guez and Krisztina Kovács and has published in prestigious journals such as PLoS ONE, Spine and Journal of neurosurgery.

In The Last Decade

Daniel García‐Pérez

40 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel García‐Pérez 151 132 64 51 50 42 398
Anandh Dhanushkodi 126 0.8× 162 1.2× 37 0.6× 88 1.7× 37 0.7× 25 416
Kyohei Kin 142 0.9× 105 0.8× 111 1.7× 53 1.0× 21 0.4× 27 390
Jackeline Moraes Malheiros 180 1.2× 98 0.7× 52 0.8× 65 1.3× 11 0.2× 23 440
Fujiya Furuyama 125 0.8× 118 0.9× 75 1.2× 21 0.4× 18 0.4× 34 432
Zai‐Yun Long 106 0.7× 159 1.2× 19 0.3× 45 0.9× 28 0.6× 36 392
Sachiyo Misumi 91 0.6× 102 0.8× 88 1.4× 26 0.5× 22 0.4× 17 363
Mahnaz Bayat 113 0.7× 137 1.0× 17 0.3× 34 0.7× 19 0.4× 43 432
Makiko Morita 118 0.8× 134 1.0× 30 0.5× 16 0.3× 21 0.4× 18 403
Benoît Jenny 178 1.2× 92 0.7× 50 0.8× 31 0.6× 55 1.1× 20 406
Felipe Kawa Odorcyk 69 0.5× 73 0.6× 36 0.6× 66 1.3× 37 0.7× 24 431

Countries citing papers authored by Daniel García‐Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel García‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel García‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel García‐Pérez. A scholar is included among the top collaborators of Daniel García‐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 Daniel García‐Pérez. Daniel García‐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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2026