Tetsuya Asakawa

1.8k citations
141 papers · 1.2k indexed · h-index 18
Topics
Parkinson's Disease Mechanisms and Treatments (16 papers)Neurological disorders and treatments (11 papers)Cardiac Arrhythmias and Treatments (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
JapanChinaUnited States

In The Last Decade

Tetsuya Asakawa

124 papers receiving 1.2k citations

Peers

Tetsuya Asakawa
Comparison fields: 5 of 125
  • Molecular Biology 261
  • Neurology 233
  • Cognitive Neuroscience 140
  • Cellular and Molecular Neuroscience 109
  • Neurology 105
Replace Yong-qin Kuang with:
Yong-qin Kuang China
Geert Jan Groeneveld Netherlands
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Mahnaz Talebi Iran
Abbas Tafakhori Iran
Brendan Kelley United States
Daniele Orsucci Italy
Alan S. Hollister United States
Wenjuan Huang China
Michaela Johnson United States
Tetsuya Asakawa relative to Yong-qin Kuang China Yong-qin Kuang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Asakawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Asakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Asakawa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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11
Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning.
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Using a brain functional reaction method to measure personality stability in fMRI
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Visualization of the correlation and propagation of information between EEG electrodes
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A Case of Swallow Syncope without Organic Esophageal Disease
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About Tetsuya Asakawa

Tetsuya Asakawa is a scholar working on Behavioral Neuroscience, Neurology and Geriatrics and Gerontology, having authored 141 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological disorders and treatments (11 papers) and Cardiac Arrhythmias and Treatments (11 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Neurology (233 citations) and Neurology (105 citations). Tetsuya Asakawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hiroki Namba, Kenji Sugiyama, Takao Nozaki, Candong Li, Shujiao Chen, Zhen Hong, Susumu Kobayashi, Shanshan Ding, Tiansong Yang and Huan Fang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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