Nicolás M. Díaz

45 total papers · 689 total citations
22 papers, 337 citations indexed

About

Nicolás M. Díaz is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Nicolás M. Díaz has authored 22 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Endocrine and Autonomic Systems and 7 papers in Molecular Biology. Recurrent topics in Nicolás M. Díaz's work include Circadian rhythm and melatonin (12 papers), Photoreceptor and optogenetics research (9 papers) and Retinal Development and Disorders (6 papers). Nicolás M. Díaz is often cited by papers focused on Circadian rhythm and melatonin (12 papers), Photoreceptor and optogenetics research (9 papers) and Retinal Development and Disorders (6 papers). Nicolás M. Díaz collaborates with scholars based in Argentina, United States and Puerto Rico. Nicolás M. Díaz's co-authors include Mario E. Guido, Ethan D. Buhr, Russell N. Van Gelder, Richard A. Lang, Shruti Vemaraju, Eduardo Garbarino‐Pico, María A. Contín, Tomás C. Tempesti, Shane P. D’Souza and Brian A. Upton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Scientific Reports.

In The Last Decade

Nicolás M. Díaz

21 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Nicolás M. Díaz 206 158 157 30 28 22 337
Nicole Y. Leung 76 0.4× 148 0.9× 105 0.7× 19 0.6× 20 0.7× 10 328
Wendy W. S. Yue 149 0.7× 231 1.5× 187 1.2× 44 1.5× 11 0.4× 11 369
R G Foster 83 0.4× 98 0.6× 120 0.8× 23 0.8× 17 0.6× 13 350
Karen Atkinson‐Leadbeater 116 0.6× 138 0.9× 123 0.8× 35 1.2× 61 2.2× 15 343
Kylie S. Chew 164 0.8× 195 1.2× 187 1.2× 28 0.9× 23 0.8× 10 332
Jessica Rodgers 147 0.7× 201 1.3× 161 1.0× 13 0.4× 18 0.6× 24 374
G. E. Pickard 176 0.9× 167 1.1× 156 1.0× 30 1.0× 19 0.7× 9 386
Atsuko Fujioka 173 0.8× 56 0.4× 131 0.8× 105 3.5× 22 0.8× 27 342
Samantha You 119 0.6× 98 0.6× 54 0.3× 54 1.8× 28 1.0× 10 366
M. Walker 184 0.9× 156 1.0× 147 0.9× 31 1.0× 16 0.6× 16 362

Countries citing papers authored by Nicolás M. Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás M. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás M. Díaz

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