R. Taiuti

27 total papers · 469 total citations
18 papers, 355 citations indexed

About

R. Taiuti is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, R. Taiuti has authored 18 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in R. Taiuti's work include Peripheral Neuropathies and Disorders (5 papers), Myasthenia Gravis and Thymoma (4 papers) and Multiple Sclerosis Research Studies (3 papers). R. Taiuti is often cited by papers focused on Peripheral Neuropathies and Disorders (5 papers), Myasthenia Gravis and Thymoma (4 papers) and Multiple Sclerosis Research Studies (3 papers). R. Taiuti collaborates with scholars based in Italy and Spain. R. Taiuti's co-authors include Luca Massacesi, Gianpiero Marconi, Alessandro Barilaro, Gianfranco Siracusa, Anna Maria Repice, Francesco Lolli, Sabrina Matà, Marco Moretti, Mario Falcini and Bahia Hakiki and has published in prestigious journals such as Journal of neurosurgery, Journal of Neuroimmunology and Journal of Neurology.

In The Last Decade

R. Taiuti

17 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
R. Taiuti 243 143 55 50 44 18 355
Tim Lotze 182 0.7× 197 1.4× 58 1.1× 24 0.5× 24 0.5× 11 302
E Daniëlle van Pelt 224 0.9× 288 2.0× 86 1.6× 40 0.8× 22 0.5× 16 365
E. Stark 166 0.7× 111 0.8× 58 1.1× 48 1.0× 15 0.3× 19 331
Tageldin Sokrab 97 0.4× 83 0.6× 36 0.7× 75 1.5× 12 0.3× 16 357
Byron L. Lam 151 0.6× 141 1.0× 39 0.7× 13 0.3× 24 0.5× 18 339
R. F. Neuteboom 221 0.9× 268 1.9× 84 1.5× 29 0.6× 26 0.6× 11 330
G. J. Stewart 99 0.4× 89 0.6× 41 0.7× 68 1.4× 82 1.9× 18 313
Chin-Chang Huang 172 0.7× 77 0.5× 44 0.8× 61 1.2× 18 0.4× 22 366
D. Legars 233 1.0× 99 0.7× 66 1.2× 31 0.6× 9 0.2× 20 401
Wiebke Stark 129 0.5× 264 1.8× 47 0.9× 18 0.4× 49 1.1× 13 351

Countries citing papers authored by R. Taiuti

Since Specialization
Citations

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

Fields of papers citing papers by R. Taiuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Taiuti

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