Makoto Negoro
- Neurology top 1%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Masahiro KitagawaKeisuke FujiiKosuke MitaraiToshio FukudaFumihito AraiShigeru MiyachiAkinori KagawaShuxiang Guo
- Topics
- Intracranial Aneurysms: Treatment and Complications (95 papers)Cerebrovascular and Carotid Artery Diseases (58 papers)Vascular Malformations Diagnosis and Treatment (38 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Makoto Negoro
194 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Neurology 1.0k
- Artificial Intelligence 891
- Biomedical Engineering 833
- Surgery 641
- Pulmonary and Respiratory Medicine 532
Countries citing papers authored by Makoto Negoro
This map shows the geographic impact of Makoto Negoro'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 Makoto Negoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Negoro more than expected).
Fields of papers citing papers by Makoto Negoro
This network shows the impact of papers produced by Makoto Negoro. 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 Makoto Negoro. The network helps show where Makoto Negoro may publish in the future.
Co-authorship network of co-authors of Makoto Negoro
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Negoro. A scholar is included among the top collaborators of Makoto Negoro 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 Makoto Negoro. Makoto Negoro 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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 13 | |
| 8 | 4 | |
| 9 | Image Processing for Sensing Guide Wire Behaviour during Endovascular Surgery Simulation | 5 |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | An in vitro patient-tailored model of human cerebral artery for simulating endovascular intervention | 1 |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 25 | |
| 20 | Follow-up study with computerized tomography during and after irradiation in patients with pineal tumors | 2 |
About Makoto Negoro
Makoto Negoro is a scholar working on Neurology, Biophysics and Pulmonary and Respiratory Medicine, having authored 214 papers that have together received 3.5k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (95 papers), Cerebrovascular and Carotid Artery Diseases (58 papers) and Vascular Malformations Diagnosis and Treatment (38 papers). The work is most often cited by research in Neurology (1.0k citations), Artificial Intelligence (891 citations) and Biophysics (137 citations). Makoto Negoro has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Masahiro Kitagawa, Keisuke Fujii, Kosuke Mitarai, Toshio Fukuda, Fumihito Arai, Shigeru Miyachi, Akinori Kagawa, Shuxiang Guo, Jun Yoshida and Seiichi Ikeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.