Keita Ueda

57 total papers · 479 total citations
34 papers, 326 citations indexed

About

Keita Ueda is a scholar working on Epidemiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Keita Ueda has authored 34 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Neurology and 9 papers in Psychiatry and Mental health. Recurrent topics in Keita Ueda's work include Traumatic Brain Injury Research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Keita Ueda is often cited by papers focused on Traumatic Brain Injury Research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Keita Ueda collaborates with scholars based in Japan, Canada and United States. Keita Ueda's co-authors include Toshiya Murai, Shiho Ubukata, Genichi Sugihara, Hidenao Fukuyama, Toshihiko Aso, Kazuyuki Hirao, Naoya Oishi, Brandy L. Callahan, André Plamondon and Manabu Kubota and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Keita Ueda

28 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Keita Ueda 113 105 99 69 65 34 326
Shiho Ubukata 126 1.1× 74 0.7× 75 0.8× 51 0.7× 99 1.5× 30 306
Nicholas A. Shaff 149 1.3× 115 1.1× 157 1.6× 76 1.1× 42 0.6× 24 326
David Jakabek 72 0.6× 129 1.2× 60 0.6× 65 0.9× 55 0.8× 21 294
Ryan Eckbo 182 1.6× 71 0.7× 86 0.9× 153 2.2× 94 1.4× 16 344
Patrizia Pollicino 121 1.1× 60 0.6× 101 1.0× 16 0.2× 129 2.0× 25 333
Jessica Rigon 120 1.1× 73 0.7× 184 1.9× 24 0.3× 99 1.5× 17 362
Zhicheng Wu 112 1.0× 35 0.3× 38 0.4× 31 0.4× 59 0.9× 25 314
Alexandra G. Poydasheva 127 1.1× 79 0.8× 73 0.7× 30 0.4× 49 0.8× 58 348
Chiara Pinardi 112 1.0× 68 0.6× 29 0.3× 27 0.4× 111 1.7× 26 316
Hannibal Hamlin 90 0.8× 102 1.0× 29 0.3× 45 0.7× 50 0.8× 24 364

Countries citing papers authored by Keita Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Keita Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keita Ueda

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