Sina Sangari

33 total papers · 761 total citations
24 papers, 479 citations indexed

About

Sina Sangari is a scholar working on Neurology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Sina Sangari has authored 24 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 12 papers in Neurology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Sina Sangari's work include Transcranial Magnetic Stimulation Studies (13 papers), Spinal Cord Injury Research (8 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Sina Sangari is often cited by papers focused on Transcranial Magnetic Stimulation Studies (13 papers), Spinal Cord Injury Research (8 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Sina Sangari collaborates with scholars based in United States, France and Canada. Sina Sangari's co-authors include Mónica A. Pérez, Véronique Marchand‐Pauvert, Pierre‐François Pradat, Mohamed‐Mounir El Mendili, Caroline Iglesias, Habib Benali, Steven Kirshblum, Henrik Lundell, Mónica A. Pérez and Julien Cohen‐Adad and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Sina Sangari

23 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Sina Sangari	225	130	118	92	87	24	479
J. V. Trontelj	261 1.2×	84 0.6×	64 0.5×	150 1.6×	113 1.3×	21	545
Katie L. Bullinger	177 0.8×	112 0.9×	63 0.5×	73 0.8×	236 2.7×	25	541
Josep Valls-Sol�	194 0.9×	215 1.7×	127 1.1×	149 1.6×	61 0.7×	9	543
David Czell	342 1.5×	53 0.4×	80 0.7×	69 0.8×	53 0.6×	31	522
Jeehyun Yoo	60 0.3×	52 0.4×	118 1.0×	65 0.7×	68 0.8×	33	548
François‐Charles Wang	147 0.7×	52 0.4×	30 0.3×	84 0.9×	91 1.0×	41	415
Boaz Weller	77 0.3×	58 0.4×	47 0.4×	51 0.6×	57 0.7×	17	532
S Yanagawa	322 1.4×	196 1.5×	37 0.3×	83 0.9×	34 0.4×	20	511
J. Machetanz	146 0.6×	172 1.3×	47 0.4×	86 0.9×	120 1.4×	32	453
Jesús Benito-Penalva	51 0.2×	99 0.8×	255 2.2×	68 0.7×	57 0.7×	20	418

Countries citing papers authored by Sina Sangari

Since Specialization

Citations

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

Fields of papers citing papers by Sina Sangari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Sangari

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