Winona Tse

55 total papers · 1.0k total citations
22 papers, 538 citations indexed

About

Winona Tse is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Winona Tse has authored 22 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 6 papers in Cognitive Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Winona Tse's work include Neurological disorders and treatments (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and Neural and Behavioral Psychology Studies (3 papers). Winona Tse is often cited by papers focused on Neurological disorders and treatments (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and Neural and Behavioral Psychology Studies (3 papers). Winona Tse collaborates with scholars based in United States, France and Argentina. Winona Tse's co-authors include William C. Koller, C. Warren Olanow, Thomas D. Hälbig, Pasquale G. Frisina, Jean-Michel Gracies, Jean‐Michel Graciès, Eric Hollander, Bryann R. Baker, Michele Tagliati and Harvey M. Shapiro and has published in prestigious journals such as Neurology, Journal of neurosurgery and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Winona Tse

22 papers receiving 520 citations

Author Peers

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

Author Last Decade Papers Cites
Winona Tse 438 152 74 68 64 22 538
Jean-Michel Gracies 287 0.7× 104 0.7× 42 0.6× 49 0.7× 45 0.7× 31 465
Kalen J. Petersen 239 0.5× 189 1.2× 53 0.7× 85 1.3× 31 0.5× 29 532
Elisa Montanaro 403 0.9× 53 0.3× 44 0.6× 58 0.9× 38 0.6× 33 497
Ethan Brown 235 0.5× 68 0.4× 48 0.6× 126 1.9× 45 0.7× 29 514
Loredana Raciti 308 0.7× 85 0.6× 62 0.8× 62 0.9× 37 0.6× 44 576
Flavio Di Stasio 440 1.0× 140 0.9× 244 3.3× 116 1.7× 42 0.7× 25 592
Irene Navalpotro‐Gómez 278 0.6× 67 0.4× 55 0.7× 137 2.0× 142 2.2× 21 579
Nora Vanegas‐Arroyave 333 0.8× 99 0.7× 68 0.9× 86 1.3× 30 0.5× 32 490
Verónica Bruno 437 1.0× 142 0.9× 51 0.7× 57 0.8× 20 0.3× 51 615
F Danzé 251 0.6× 126 0.8× 41 0.6× 179 2.6× 128 2.0× 18 543

Countries citing papers authored by Winona Tse

Since Specialization
Citations

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

Fields of papers citing papers by Winona Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winona Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Winona Tse. A scholar is included among the top collaborators of Winona Tse 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 Winona Tse. Winona Tse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026