Natalia Palacios

84 total papers · 1.4k total citations
42 papers, 1.0k citations indexed

About

Natalia Palacios is a scholar working on Neurology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Natalia Palacios has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Physiology. Recurrent topics in Natalia Palacios's work include Diet and metabolism studies (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nutritional Studies and Diet (7 papers). Natalia Palacios is often cited by papers focused on Diet and metabolism studies (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nutritional Studies and Diet (7 papers). Natalia Palacios collaborates with scholars based in United States, Denmark and Australia. Natalia Palacios's co-authors include Alberto Ascherio, Michael A. Schwarzschild, Xiang Gao, Marjorie L. McCullough, Kathryn C. Fitzgerald, Francine Laden, Jaime E. Hart, Marc G. Weisskopf, Susan M. Gapstur and Tinisha L. Mayo and has published in prestigious journals such as Gastroenterology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Natalia Palacios

39 papers receiving 984 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 Palacios 351 254 163 131 113 42 1.0k
Li‐Li Wen 153 0.4× 307 1.2× 213 1.3× 132 1.0× 50 0.4× 50 992
I. Dingwall‐Fordyce 198 0.6× 134 0.5× 71 0.4× 44 0.3× 45 0.4× 25 913
P Nischan 479 1.4× 66 0.3× 131 0.8× 75 0.6× 19 0.2× 29 1.1k
Giuseppe Abbritti 50 0.1× 290 1.1× 201 1.2× 150 1.1× 32 0.3× 71 1.1k
Cecilia Carlesi 289 0.8× 48 0.2× 222 1.4× 199 1.5× 34 0.3× 35 918
Ildefonso Rodríguez‐Leyva 237 0.7× 253 1.0× 146 0.9× 86 0.7× 6 0.1× 78 1.0k
Marta Goschorska 37 0.1× 259 1.0× 193 1.2× 132 1.0× 17 0.2× 32 905
Beata Tarnacka 115 0.3× 454 1.8× 159 1.0× 110 0.8× 6 0.1× 59 1.1k
Manuela Tondelli 208 0.6× 188 0.7× 51 0.3× 198 1.5× 24 0.2× 56 1.0k
Kendra L. Puig 54 0.2× 146 0.6× 273 1.7× 374 2.9× 46 0.4× 19 904

Countries citing papers authored by Natalia Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Palacios

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