R. S. Díaz

29 total papers · 560 total citations
16 papers, 446 citations indexed

About

R. S. Díaz is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Small Animals. According to data from OpenAlex, R. S. Díaz has authored 16 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Small Animals. Recurrent topics in R. S. Díaz's work include Lipid Membrane Structure and Behavior (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). R. S. Díaz is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). R. S. Díaz collaborates with scholars based in Spain, Brazil and United States. R. S. Díaz's co-authors include J. Monreal, C. M. Marín, Ignacio Moriyón, J.M. Blasco, Marguerite Lucas, María Pilar Jiménez de Bagüés, Edgardo Moreno, Joan M. Chapman, Maristela Miyamoto and Regina C.M. Succi and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

R. S. Díaz

16 papers receiving 423 citations

Author Peers

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

Author Last Decade Papers Cites
R. S. Díaz 185 117 116 95 81 16 446
Lesley A. Colby 119 0.6× 80 0.7× 37 0.3× 38 0.4× 51 0.6× 25 439
Julie Lamontagne 69 0.4× 98 0.8× 42 0.4× 24 0.3× 40 0.5× 10 422
V. P. Meador 334 1.8× 125 1.1× 87 0.8× 18 0.2× 146 1.8× 16 409
Patricia W. Harris-Smith 91 0.5× 55 0.5× 54 0.5× 12 0.1× 52 0.6× 18 480
Harry Rozmiarek 78 0.4× 55 0.5× 127 1.1× 16 0.2× 6 0.1× 19 457
A. Klarenbeek 40 0.2× 60 0.5× 111 1.0× 8 0.1× 6 0.1× 20 459
Arnaud Machelart 200 1.1× 153 1.3× 151 1.3× 6 0.1× 47 0.6× 25 483
Yoon-Chul Kye 26 0.1× 69 0.6× 185 1.6× 5 0.1× 40 0.5× 16 455
Beata Clapp 241 1.3× 127 1.1× 125 1.1× 2 0.0× 104 1.3× 12 367
R. W. Sweeney 70 0.4× 137 1.2× 70 0.6× 2 0.0× 23 0.3× 16 397

Countries citing papers authored by R. S. Díaz

Since Specialization
Citations

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

Fields of papers citing papers by R. S. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. S. Díaz

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