M. Del Rı́o

47 total papers · 1.6k total citations
39 papers, 1.4k citations indexed

About

M. Del Rı́o is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, M. Del Rı́o has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 11 papers in Psychiatry and Mental health. Recurrent topics in M. Del Rı́o's work include Neuropeptides and Animal Physiology (20 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers) and Receptor Mechanisms and Signaling (7 papers). M. Del Rı́o is often cited by papers focused on Neuropeptides and Animal Physiology (20 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers) and Receptor Mechanisms and Signaling (7 papers). M. Del Rı́o collaborates with scholars based in Spain, United States and France. M. Del Rı́o's co-authors include Mónica De la Fuente, Ángel Hernánz, Sónia Medina, M.D. Ferrández, Rafael Correa‐Rocha, Víctor M. Víctor, Noelia Guayerbas, Víctor M. Víctor, Jesús Manuel Eirís Puñal and Manuel Castro‐Gago and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Antimicrobial Agents and Chemotherapy and The Journal of Urology.

In The Last Decade

M. Del Rı́o

39 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
M. Del Rı́o 535 368 228 176 171 39 1.4k
Paola Sacchetti 603 1.1× 692 1.9× 209 0.9× 104 0.6× 214 1.3× 19 1.6k
Yahong Zhang 357 0.7× 545 1.5× 176 0.8× 156 0.9× 136 0.8× 56 1.8k
Lin Xiao 310 0.6× 626 1.7× 139 0.6× 77 0.4× 153 0.9× 60 1.8k
Aditi A. Kapasi 302 0.6× 519 1.4× 217 1.0× 73 0.4× 201 1.2× 33 1.4k
Kévin Baranger 281 0.5× 509 1.4× 165 0.7× 128 0.7× 810 4.7× 42 1.7k
David Pascual 496 0.9× 427 1.2× 267 1.2× 188 1.1× 384 2.2× 50 1.4k
Wanhong Ding 217 0.4× 479 1.3× 415 1.8× 92 0.5× 573 3.4× 33 1.8k
Samuel Finkielman 442 0.8× 532 1.4× 130 0.6× 48 0.3× 188 1.1× 66 1.5k
Francisco Contreras 190 0.4× 368 1.0× 332 1.5× 102 0.6× 161 0.9× 58 1.6k
Tsuyoshi Nishioku 207 0.4× 625 1.7× 244 1.1× 164 0.9× 290 1.7× 43 1.8k

Countries citing papers authored by M. Del Rı́o

Since Specialization
Citations

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

Fields of papers citing papers by M. Del Rı́o

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Del Rı́o. 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 M. Del Rı́o. The network helps show where M. Del Rı́o may publish in the future.

Co-authorship network of co-authors of M. Del Rı́o

This figure shows the co-authorship network connecting the top 25 collaborators of M. Del Rı́o. A scholar is included among the top collaborators of M. Del Rı́o 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 M. Del Rı́o. M. Del Rı́o 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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