Natalia Arias

99 total papers · 1.5k total citations
63 papers, 1.1k citations indexed

About

Natalia Arias is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Natalia Arias has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 17 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in Natalia Arias's work include Liver Disease and Transplantation (15 papers), Liver Disease Diagnosis and Treatment (14 papers) and Diet and metabolism studies (13 papers). Natalia Arias is often cited by papers focused on Liver Disease and Transplantation (15 papers), Liver Disease Diagnosis and Treatment (14 papers) and Diet and metabolism studies (13 papers). Natalia Arias collaborates with scholars based in Spain, United Kingdom and United States. Natalia Arias's co-authors include Jorge L. Arias, Miguel Gueimonde, Silvia Arboleya, Sara G. Higarza, Marta Méndez, Rajiv Jalan, Anna Hadjihambi, Mohammed Sheikh, Betina Córsico and Jaime Árias and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain Research.

In The Last Decade

Natalia Arias

60 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Natalia Arias 356 346 256 176 133 63 1.1k
Yumei Guo 313 0.9× 155 0.4× 248 1.0× 270 1.5× 118 0.9× 26 1.1k
T Barreca 172 0.5× 251 0.7× 332 1.3× 113 0.6× 99 0.7× 102 1.2k
Xin Lu 287 0.8× 125 0.4× 134 0.5× 87 0.5× 100 0.8× 39 1.2k
Tiziano Balzano 282 0.8× 111 0.3× 325 1.3× 421 2.4× 147 1.1× 31 1.0k
F.J. Laso 261 0.7× 89 0.3× 501 2.0× 166 0.9× 51 0.4× 49 1.3k
Olivera Stanojlović 160 0.4× 199 0.6× 155 0.6× 67 0.4× 47 0.4× 109 1.1k
Goran Pavlaković 103 0.3× 276 0.8× 133 0.5× 120 0.7× 203 1.5× 33 914
Rie Yoshida 478 1.3× 136 0.4× 125 0.5× 43 0.2× 202 1.5× 78 1.5k
Margaret A. French 127 0.4× 119 0.3× 195 0.8× 68 0.4× 95 0.7× 50 1.0k
Diansan Su 293 0.8× 237 0.7× 61 0.2× 44 0.3× 269 2.0× 92 1.4k

Countries citing papers authored by Natalia Arias

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Arias. 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 Natalia Arias. The network helps show where Natalia Arias may publish in the future.

Co-authorship network of co-authors of Natalia Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Arias. A scholar is included among the top collaborators of Natalia Arias 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 Natalia Arias. Natalia Arias 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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