Takayuki Kondo
- Neurology top 2%
- Neurological disorders and treatments 14
- Autoimmune Neurological Disorders and Treatments 8
- Parkinson's Disease Mechanisms and Treatments 7
- Neurology top 5%
- Neurological disorders and treatments 14
- Autoimmune Neurological Disorders and Treatments 8
- Parkinson's Disease Mechanisms and Treatments 7
- Developmental Neuroscience top 5%
- Physiology top 5%
- Alzheimer's disease research and treatments 10
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- Pluripotent Stem Cells Research 17
- CRISPR and Genetic Engineering 7
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- Glycogen Storage Diseases and Myoclonus 10
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- Genetics and Neurodevelopmental Disorders 8
- Co-authors
- Ryōsuke TakahashiHaruhisa InoueKayoko TsukitaKeiko ImamuraKazuo ShinozakiKnut WoltjenKousuke HanadaTakashi Yamamura
- Cited by
- NeurologyDevelopmental Neuroscience
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Takayuki Kondo
104 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 143
- Neurology 461
- Neurology 216
- Developmental Neuroscience 103
- Cellular and Molecular Neuroscience 344
- Physiology 448
Countries citing papers authored by Takayuki Kondo
This map shows the geographic impact of Takayuki Kondo'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 Takayuki Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Kondo more than expected).
Fields of papers citing papers by Takayuki Kondo
This network shows the impact of papers produced by Takayuki Kondo. 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 Takayuki Kondo. The network helps show where Takayuki Kondo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takayuki Kondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2014 | 2 | |
| 10 | 2014 | 10 | |
| 11 | 2011 | 28 | |
| 12 | 2009 | 0 | |
| 13 | 2009 | 4 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 35 | |
| 16 | 2005 | 2 | |
| 17 | 2004 | 0 | |
| 18 | 2003 | 405 | |
| 19 | 1999 | 46 | |
| 20 | On a Simple Method for Corresponding 3-D Facial Images and Its Application to Generate Facial Caricature | 1996 | 1 |
About Takayuki Kondo
Takayuki Kondo is a scholar working on Neurology, Aging and Rheumatology, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), Neurological disorders and treatments (14 papers), Glycogen Storage Diseases and Myoclonus (10 papers), Alzheimer's disease research and treatments (10 papers), Autoimmune Neurological Disorders and Treatments (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), CRISPR and Genetic Engineering (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (461 citations), Neurology (216 citations) and Developmental Neuroscience (103 citations). Takayuki Kondo has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Ryōsuke Takahashi, Haruhisa Inoue, Kayoko Tsukita, Keiko Imamura, Kazuo Shinozaki, Knut Woltjen, Kousuke Hanada, Takashi Yamamura, Fuminori Takahashi and Peter Davies. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Neuron.
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.