David Putrino

200 total papers · 5.1k total citations
99 papers, 1.6k citations indexed

About

David Putrino is a scholar working on Neurology, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, David Putrino has authored 99 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 25 papers in Cognitive Neuroscience and 20 papers in Rehabilitation. Recurrent topics in David Putrino's work include Stroke Rehabilitation and Recovery (20 papers), EEG and Brain-Computer Interfaces (16 papers) and Long-Term Effects of COVID-19 (14 papers). David Putrino is often cited by papers focused on Stroke Rehabilitation and Recovery (20 papers), EEG and Brain-Computer Interfaces (16 papers) and Long-Term Effects of COVID-19 (14 papers). David Putrino collaborates with scholars based in United States, Australia and United Kingdom. David Putrino's co-authors include Soumya Ghosh, Emery N. Brown, Sanggyun Kim, Christopher P. Kellner, Adam Fry, Akiko Iwasaki, Mar Cortes, Andrew Delgado, Vincent Huang and Laura Tabacof and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

David Putrino

91 papers receiving 1.6k citations

Hit Papers

Long COVID: pathophysiolo... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
David Putrino 371 325 313 199 197 99 1.6k
Jeffrey M. Rogers 318 0.9× 277 0.9× 369 1.2× 322 1.6× 70 0.4× 66 2.1k
Yee Sien Ng 215 0.6× 260 0.8× 493 1.6× 274 1.4× 252 1.3× 78 1.8k
Κonstantinos Vadikolias 215 0.6× 549 1.7× 183 0.6× 331 1.7× 120 0.6× 134 2.2k
Isabelle Laffont 384 1.0× 424 1.3× 691 2.2× 457 2.3× 307 1.6× 134 2.2k
Carlos Bandeira de Mello Monteiro 387 1.0× 199 0.6× 600 1.9× 555 2.8× 242 1.2× 182 2.2k
Byoung‐Hee Lee 413 1.1× 234 0.7× 864 2.8× 604 3.0× 328 1.7× 137 2.3k
Alfredo Manuli 335 0.9× 321 1.0× 750 2.4× 474 2.4× 205 1.0× 89 1.8k
Michael W. O’Dell 165 0.4× 461 1.4× 402 1.3× 355 1.8× 108 0.5× 80 1.5k
Pierpaolo Sorrentino 637 1.7× 281 0.9× 69 0.2× 280 1.4× 120 0.6× 95 1.9k
Lilla Bonanno 495 1.3× 264 0.8× 98 0.3× 377 1.9× 93 0.5× 140 1.5k

Countries citing papers authored by David Putrino

Since Specialization
Citations

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

Fields of papers citing papers by David Putrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Putrino

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