Manuel Pablo Rubio

61 total papers · 921 total citations
39 papers, 598 citations indexed

About

Manuel Pablo Rubio is a scholar working on Cellular and Molecular Neuroscience, Media Technology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Manuel Pablo Rubio has authored 39 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Media Technology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Manuel Pablo Rubio's work include Experimental Learning in Engineering (9 papers), Neuropeptides and Animal Physiology (7 papers) and Virtual Reality Applications and Impacts (6 papers). Manuel Pablo Rubio is often cited by papers focused on Experimental Learning in Engineering (9 papers), Neuropeptides and Animal Physiology (7 papers) and Virtual Reality Applications and Impacts (6 papers). Manuel Pablo Rubio collaborates with scholars based in Spain, United States and United Kingdom. Manuel Pablo Rubio's co-authors include Diego Vergara, Miguel Lorenzo, Lílian P. Dávila, R. Vázquez, José Carretero, Pablo Fernández‐Arias, F. Sánchez, José A. Cabezas, E Blanco and Deborah J. Burks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroreport and Applied Sciences.

In The Last Decade

Manuel Pablo Rubio

37 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Manuel Pablo Rubio 236 142 93 83 77 39 598
Bei Yuan 179 0.8× 53 0.4× 44 0.5× 89 1.1× 10 0.1× 33 529
Sehat Ullah 232 1.0× 275 1.9× 80 0.9× 101 1.2× 96 1.2× 66 678
Daniela Trevisan 235 1.0× 178 1.3× 33 0.4× 8 0.1× 31 0.4× 75 658
Kevin Caves 160 0.7× 51 0.4× 18 0.2× 33 0.4× 19 0.2× 39 674
Jing Fan 115 0.5× 92 0.6× 66 0.7× 57 0.7× 12 0.2× 37 689
Dhananjay Kalbande 75 0.3× 130 0.9× 145 1.6× 13 0.2× 29 0.4× 83 616
María Dolores Meneses Fernández 214 0.9× 323 2.3× 169 1.8× 47 0.6× 22 0.3× 29 555
Éric Anquetil 136 0.6× 460 3.2× 39 0.4× 58 0.7× 47 0.6× 54 676
Yuki Hayashi 72 0.3× 43 0.3× 40 0.4× 40 0.5× 73 0.9× 84 556
Kathleen Carter 254 1.1× 66 0.5× 90 1.0× 13 0.2× 3 0.0× 13 651

Countries citing papers authored by Manuel Pablo Rubio

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Pablo Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Pablo Rubio. 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 Manuel Pablo Rubio. The network helps show where Manuel Pablo Rubio may publish in the future.

Co-authorship network of co-authors of Manuel Pablo Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Pablo Rubio. A scholar is included among the top collaborators of Manuel Pablo Rubio 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 Manuel Pablo Rubio. Manuel Pablo Rubio 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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