Mukesch Shah

109 total papers · 2.0k total citations
58 papers, 1.0k citations indexed

About

Mukesch Shah is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mukesch Shah has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Neurology, 15 papers in Surgery and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mukesch Shah's work include Traumatic Brain Injury and Neurovascular Disturbances (19 papers), Intracranial Aneurysms: Treatment and Complications (17 papers) and Neurosurgical Procedures and Complications (12 papers). Mukesch Shah is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (19 papers), Intracranial Aneurysms: Treatment and Complications (17 papers) and Neurosurgical Procedures and Complications (12 papers). Mukesch Shah collaborates with scholars based in Germany, Switzerland and United States. Mukesch Shah's co-authors include Vera Van Velthoven, Christian Scheiwe, Klaus Kaier, Ramazan Jabbarli, Roland Roelz, Christian Taschner, Oliver Schnell, Dieter Henrik Heiland, Roman Sankowski and Marco Prinz and has published in prestigious journals such as Nature Medicine, Nature Neuroscience and PLoS ONE.

In The Last Decade

Mukesch Shah

50 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Mukesch Shah 488 284 212 196 158 58 1.0k
Patrick Schweder 327 0.7× 372 1.3× 128 0.6× 159 0.8× 244 1.5× 45 1.1k
Brandon A. Miller 385 0.8× 197 0.7× 84 0.4× 244 1.2× 236 1.5× 63 1.2k
Kuninobu Wakabayashi 379 0.8× 151 0.5× 165 0.8× 137 0.7× 132 0.8× 41 928
Wolf‐Rüdiger Schäbitz 220 0.5× 479 1.7× 176 0.8× 119 0.6× 176 1.1× 43 1.2k
Takuya Konno 561 1.1× 473 1.7× 134 0.6× 156 0.8× 409 2.6× 44 1.1k
Yukio Takeshita 298 0.6× 398 1.4× 215 1.0× 226 1.2× 367 2.3× 49 1.2k
S. Kida 420 0.9× 213 0.8× 111 0.5× 396 2.0× 86 0.5× 28 955
David Wallon 446 0.9× 265 0.9× 71 0.3× 137 0.7× 287 1.8× 67 1.2k
Josefine Radke 218 0.4× 349 1.2× 230 1.1× 124 0.6× 368 2.3× 42 1.2k
Maria‐Eleftheria Evangelopoulos 378 0.8× 133 0.5× 195 0.9× 173 0.9× 284 1.8× 98 1.2k

Countries citing papers authored by Mukesch Shah

Since Specialization
Citations

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

Fields of papers citing papers by Mukesch Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesch Shah

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