Marcela Fiol

77 total papers · 3.5k total citations
25 papers, 1.2k citations indexed

About

Marcela Fiol is a scholar working on Pathology and Forensic Medicine, Neurology and Ophthalmology. According to data from OpenAlex, Marcela Fiol has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 6 papers in Neurology and 5 papers in Ophthalmology. Recurrent topics in Marcela Fiol's work include Multiple Sclerosis Research Studies (14 papers), Peripheral Neuropathies and Disorders (5 papers) and Retinal and Optic Conditions (5 papers). Marcela Fiol is often cited by papers focused on Multiple Sclerosis Research Studies (14 papers), Peripheral Neuropathies and Disorders (5 papers) and Retinal and Optic Conditions (5 papers). Marcela Fiol collaborates with scholars based in Argentina, United States and Sweden. Marcela Fiol's co-authors include Jorge Correale, María I. Gaitán, María Célica Ysrraelit, Wendy Gilmore, Mauricio Farez, Francisco J. Quintana, Mariano Marrodán, Lucía Crivelli, Claudio González and R. Leiguarda and has published in prestigious journals such as Brain, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Marcela Fiol

20 papers receiving 1.2k citations

Hit Papers

Progressive multiple scle... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Marcela Fiol 682 271 262 245 168 25 1.2k
Boris Kallmann 845 1.2× 209 0.8× 293 1.1× 194 0.8× 183 1.1× 27 1.5k
Damacio Ramón Kaimen-Maciel 684 1.0× 261 1.0× 214 0.8× 218 0.9× 131 0.8× 39 1.1k
Jana Lízrová Preiningerová 697 1.0× 258 1.0× 413 1.6× 198 0.8× 102 0.6× 30 1.3k
Gillian Ingram 956 1.4× 383 1.4× 345 1.3× 183 0.7× 177 1.1× 36 1.3k
Gloria Dalla Costa 567 0.8× 140 0.5× 251 1.0× 372 1.5× 129 0.8× 48 1.2k
Bardia Nourbakhsh 863 1.3× 321 1.2× 354 1.4× 265 1.1× 103 0.6× 58 1.5k
Avertano Noronha 562 0.8× 536 2.0× 202 0.8× 200 0.8× 169 1.0× 32 1.3k
Laura Andreoni 519 0.8× 381 1.4× 211 0.8× 232 0.9× 134 0.8× 19 1.2k
Collin M. Spencer 730 1.1× 480 1.8× 314 1.2× 514 2.1× 227 1.4× 29 1.5k
Ana Paula Kallaur 550 0.8× 194 0.7× 140 0.5× 199 0.8× 112 0.7× 32 937

Countries citing papers authored by Marcela Fiol

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Fiol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Fiol

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