Héctor Perkal

23 total papers · 1.2k total citations
19 papers, 869 citations indexed

About

Héctor Perkal is a scholar working on Pathology and Forensic Medicine, Rheumatology and Psychiatry and Mental health. According to data from OpenAlex, Héctor Perkal has authored 19 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 5 papers in Rheumatology and 4 papers in Psychiatry and Mental health. Recurrent topics in Héctor Perkal's work include Multiple Sclerosis Research Studies (10 papers), Dementia and Cognitive Impairment Research (4 papers) and MicroRNA in disease regulation (3 papers). Héctor Perkal is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Dementia and Cognitive Impairment Research (4 papers) and MicroRNA in disease regulation (3 papers). Héctor Perkal collaborates with scholars based in Spain, United States and Switzerland. Héctor Perkal's co-authors include Xavier Montalbán, Manuel Comabella, Àlex Rovira, Mar Tintoré, Jordi Río, Carlos Nos, Jaume Sastre‐Garriga, Carmen Tur, R. Pelayo and N. Téllez and has published in prestigious journals such as Neurology, Annals of Neurology and Journal of the Neurological Sciences.

In The Last Decade

Héctor Perkal

19 papers receiving 854 citations

Author Peers

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

Author						Papers	Cites
Héctor Perkal	616	285	204	168	163	19	869
Alexander Musallam	702 1.1×	244 0.9×	185 0.9×	230 1.4×	116 0.7×	21	1.0k
Javier Olascoaga	429 0.7×	254 0.9×	175 0.9×	361 2.1×	108 0.7×	34	871
Doralina Guimarães Brum	417 0.7×	179 0.6×	140 0.7×	185 1.1×	77 0.5×	26	701
Rana Zabad	331 0.5×	166 0.6×	75 0.4×	137 0.8×	118 0.7×	34	719
Alessia Di Sapio	505 0.8×	198 0.7×	199 1.0×	112 0.7×	220 1.3×	37	773
Svetlana Egorova	320 0.5×	179 0.6×	93 0.5×	245 1.5×	65 0.4×	24	960
Xiaonan Zhong	594 1.0×	443 1.6×	206 1.0×	220 1.3×	88 0.5×	45	992
Raeburn B Forbes	288 0.5×	472 1.7×	82 0.4×	149 0.9×	119 0.7×	26	1.0k
Mariann Polgar‐Turcsanyi	508 0.8×	238 0.8×	128 0.6×	216 1.3×	101 0.6×	23	811
Ryan Ramanujam	464 0.8×	184 0.6×	105 0.5×	132 0.8×	138 0.8×	27	795

Countries citing papers authored by Héctor Perkal

Since Specialization

Citations

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

Fields of papers citing papers by Héctor Perkal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Perkal

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