Sühan Senova

58 total papers · 1.1k total citations
32 papers, 680 citations indexed

About

Sühan Senova is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Sühan Senova has authored 32 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 16 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Sühan Senova's work include Neurological disorders and treatments (11 papers), Neuroscience and Neural Engineering (9 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Sühan Senova is often cited by papers focused on Neurological disorders and treatments (11 papers), Neuroscience and Neural Engineering (9 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Sühan Senova collaborates with scholars based in France, United States and Portugal. Sühan Senova's co-authors include Andrés M. Lozano, Stéphane Palfi, Antoine Chaillet, Anton Fomenko, Elise Gondard, Albino J. Oliveira‐Maia, Gonçalo Cotovio, Tomás Ossandón, Julien Jung and Karim Jerbi and has published in prestigious journals such as Journal of Clinical Investigation, Trends in Neurosciences and Scientific Reports.

In The Last Decade

Sühan Senova

32 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Sühan Senova 363 225 168 99 83 32 680
Giulia Sprugnoli 385 1.1× 151 0.7× 97 0.6× 270 2.7× 99 1.2× 31 721
Nivedita Agarwal 276 0.8× 124 0.6× 116 0.7× 47 0.5× 147 1.8× 44 669
Seung‐Hyun Jin 445 1.2× 94 0.4× 123 0.7× 80 0.8× 48 0.6× 31 640
Zhipei Ling 261 0.7× 147 0.7× 233 1.4× 101 1.0× 116 1.4× 50 634
Sara Fernández-Vidal 167 0.5× 205 0.9× 405 2.4× 79 0.8× 99 1.2× 35 683
Roberta Morace 284 0.8× 163 0.7× 204 1.2× 64 0.6× 41 0.5× 41 706
Garrett P. Banks 398 1.1× 257 1.1× 173 1.0× 84 0.8× 62 0.7× 30 790
Jennifer Faber 246 0.7× 166 0.7× 123 0.7× 91 0.9× 173 2.1× 43 748
Percival Bailey 225 0.6× 192 0.9× 137 0.8× 66 0.7× 74 0.9× 31 698
Catarina Rua 404 1.1× 148 0.7× 126 0.8× 44 0.4× 228 2.7× 31 733

Countries citing papers authored by Sühan Senova

Since Specialization
Citations

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

Fields of papers citing papers by Sühan Senova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sühan Senova

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