Daniela S. Arroyo

18 total papers · 3.1k total citations
13 papers, 493 citations indexed

About

Daniela S. Arroyo is a scholar working on Neurology, Epidemiology and Immunology. According to data from OpenAlex, Daniela S. Arroyo has authored 13 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Daniela S. Arroyo's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Autophagy in Disease and Therapy (7 papers) and Immune cells in cancer (4 papers). Daniela S. Arroyo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Autophagy in Disease and Therapy (7 papers) and Immune cells in cancer (4 papers). Daniela S. Arroyo collaborates with scholars based in Argentina, United States and United Kingdom. Daniela S. Arroyo's co-authors include Pablo Iribarren, Emilia A. Gaviglio, María Cecilia Rodriguez‐Galán, Claudio Bussi, Javier María Peralta Ramos, J. Soria, Jiming Wang, José Ignacio Gallea, M. Soledad Celej and Liliana M. Cancela and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Cell Science.

In The Last Decade

Daniela S. Arroyo

13 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela S. Arroyo 186 181 142 116 81 13 493
Caitlin E. O’Brien 171 0.9× 179 1.0× 168 1.2× 70 0.6× 192 2.4× 8 506
Mi‐Hyang Cho 145 0.8× 201 1.1× 210 1.5× 69 0.6× 166 2.0× 7 477
Kana Hyakkoku 190 1.0× 97 0.5× 151 1.1× 125 1.1× 78 1.0× 11 473
Yi Yuan 279 1.5× 70 0.4× 115 0.8× 99 0.9× 69 0.9× 15 530
Pengju Wei 165 0.9× 66 0.4× 158 1.1× 70 0.6× 46 0.6× 20 439
Mahbuba Akther 122 0.7× 61 0.3× 337 2.4× 60 0.5× 67 0.8× 13 535
Shuxian Hu 249 1.3× 54 0.3× 126 0.9× 149 1.3× 112 1.4× 7 533
Yingjie Zhang 118 0.6× 82 0.5× 163 1.1× 44 0.4× 101 1.2× 17 429
Iuliia Dubova 160 0.9× 36 0.2× 183 1.3× 100 0.9× 119 1.5× 15 497
Paolo Mascarucci 206 1.1× 90 0.5× 120 0.8× 101 0.9× 73 0.9× 9 435

Countries citing papers authored by Daniela S. Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela S. Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela S. Arroyo

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