Ken Nagata
- Neurology top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Pierre BaldiTaizen NakaseYasuji YoshidaPietro Di LenaTetsuya MaedaJun HatazawaYutaka HirataMasayuki Satoh
- Topics
- Acute Ischemic Stroke Management (25 papers)Cerebrovascular and Carotid Artery Diseases (16 papers)EEG and Brain-Computer Interfaces (10 papers)
- Cited by
- NeurologyCognitive Neuroscience
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ken Nagata
120 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 135
- Neurology 568
- Molecular Biology 550
- Cognitive Neuroscience 525
- Epidemiology 393
- Cardiology and Cardiovascular Medicine 354
Countries citing papers authored by Ken Nagata
This map shows the geographic impact of Ken Nagata'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 Ken Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Nagata more than expected).
Fields of papers citing papers by Ken Nagata
This network shows the impact of papers produced by Ken Nagata. 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 Ken Nagata. The network helps show where Ken Nagata may publish in the future.
Co-authorship network of co-authors of Ken Nagata
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Nagata. A scholar is included among the top collaborators of Ken Nagata 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 Ken Nagata. Ken Nagata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction | 26 |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 一酸化窒素傷害内皮細胞への単球接着においてMCP‐1によるCCR2の活性化はCa2+流を介したTF発現を促進する | 3 |
| 9 | The Relations among EEG, Mood, Preference, Personality and Spectrum Power analysis in Listening to Healing music | 2 |
| 10 | 1 | |
| 11 | 29 | |
| 12 | Serial positron emission tomography with fludeoxyglucose F 18 in Creutzfeldt-Jakob disease. | 10 |
| 13 | 32 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Ken Nagata
Ken Nagata is a scholar working on Neurology, Neurology and Cognitive Neuroscience, having authored 127 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (25 papers), Cerebrovascular and Carotid Artery Diseases (16 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Neurology (568 citations), Neurology (301 citations) and Cognitive Neuroscience (525 citations). Ken Nagata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Pierre Baldi, Taizen Nakase, Yasuji Yoshida, Pietro Di Lena, Tetsuya Maeda, Jun Hatazawa, Yutaka Hirata, Masayuki Satoh, Yasuhito Watahiki and Shinichiro Uchiyama. Their work appears in journals such as Circulation, Bioinformatics and American Journal of Respiratory and Critical Care Medicine.
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.