Naoyuki Takeda
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Pulmonary and Respiratory Medicine
- Astronomy and Astrophysics top 10%
- Co-authors
- Reina TanakaMasato WatanabeTomohiro FujitaYuichiro TadaHiroyuki TashiroRyo NambaShirabe MatsumotoTakayuki Shirakuni
- Topics
- Cosmology and Gravitation Theories (8 papers)Glioma Diagnosis and Treatment (7 papers)Quantum Computing Algorithms and Architecture (4 papers)
- Journals
- StrokeRadiologyPhysics Letters B
In The Last Decade
Naoyuki Takeda
34 papers receiving 763 citations
Peers
Comparison fields: 5 of 82
- Genetics 287
- Radiology, Nuclear Medicine and Imaging 217
- Neurology 181
- Pulmonary and Respiratory Medicine 143
- Astronomy and Astrophysics 134
Countries citing papers authored by Naoyuki Takeda
This map shows the geographic impact of Naoyuki Takeda'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 Naoyuki Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoyuki Takeda more than expected).
Fields of papers citing papers by Naoyuki Takeda
This network shows the impact of papers produced by Naoyuki Takeda. 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 Naoyuki Takeda. The network helps show where Naoyuki Takeda may publish in the future.
Co-authorship network of co-authors of Naoyuki Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Naoyuki Takeda. A scholar is included among the top collaborators of Naoyuki Takeda 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 Naoyuki Takeda. Naoyuki Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | Ophthalmic Manifestations in Patients With Human Immunodeficiency Virus Infection in Japan | 1 |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 26 | |
| 12 | 35 | |
| 13 | 264 | |
| 14 | 26 | |
| 15 | 29 | |
| 16 | 8 | |
| 17 | 22 | |
| 18 | [Objective assessment of senile changes in visual function by visually evoked cortical potentials]. | 4 |
| 19 | 89 | |
| 20 | Computerized tomography of coagulation necrosis of the brain and brain tumors. | 7 |
About Naoyuki Takeda
Naoyuki Takeda is a scholar working on Genetics, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 34 papers that have together received 785 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (8 papers), Glioma Diagnosis and Treatment (7 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Genetics (287 citations), Neurology (181 citations) and Radiology, Nuclear Medicine and Imaging (217 citations). Naoyuki Takeda has collaborated with scholars based in Japan, France and Germany. Frequent co-authors include Reina Tanaka, Masato Watanabe, Tomohiro Fujita, Yuichiro Tada, Hiroyuki Tashiro, Ryo Namba, Shirabe Matsumoto, Takayuki Shirakuni, Tomoyuki Nishizaki and Hitoshi Takahashi. Their work appears in journals such as Stroke, Radiology and Physics Letters B.
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.