Yoshiki Arakawa
- Genetics top 1%
- Glioma Diagnosis and Treatment 88
- Neurology top 2%
- Intracranial Aneurysms: Treatment and Complications 23
- Vascular Malformations Diagnosis and Treatment 15
- Cell Biology top 2%
- Developmental Neuroscience top 5%
-
- Radiomics and Machine Learning in Medical Imaging 14
- Advanced MRI Techniques and Applications 13
-
- Meningioma and schwannoma management 28
-
- Brain Metastases and Treatment 26
-
- Moyamoya disease diagnosis and treatment 14
- Co-authors
- Susumu MiyamotoNobuo HashimotoShuh NarumiyaTomoyuki FuruyashikiHaruhiko BitoJoão V. CordeiroMichael WayKazuhiko Nozaki
- Cited by
- GeneticsNeurologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Oncology (9 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yoshiki Arakawa
192 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 133
- Genetics 983
- Neurology 676
- Cell Biology 510
- Developmental Neuroscience 115
- Radiology, Nuclear Medicine and Imaging 518
Countries citing papers authored by Yoshiki Arakawa
This map shows the geographic impact of Yoshiki Arakawa'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 Yoshiki Arakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiki Arakawa more than expected).
Fields of papers citing papers by Yoshiki Arakawa
This network shows the impact of papers produced by Yoshiki Arakawa. 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 Yoshiki Arakawa. The network helps show where Yoshiki Arakawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshiki Arakawa, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 31 | |
| 18 | 2020 | 1 | |
| 19 | 2018 | 15 | |
| 20 | 2014 | 0 |
About Yoshiki Arakawa
Yoshiki Arakawa is a scholar working on Genetics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 223 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (88 papers), Meningioma and schwannoma management (28 papers), Brain Metastases and Treatment (26 papers), Intracranial Aneurysms: Treatment and Complications (23 papers), Vascular Malformations Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Moyamoya disease diagnosis and treatment (14 papers) and Advanced MRI Techniques and Applications (13 papers). The work is most often cited by research in Genetics (983 citations), Neurology (676 citations) and Cell Biology (510 citations). Yoshiki Arakawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Susumu Miyamoto, Nobuo Hashimoto, Shuh Narumiya, Tomoyuki Furuyashiki, Haruhiko Bito, João V. Cordeiro, Michael Way, Kazuhiko Nozaki, Sayaka Takemoto‐Kimura and Takahiro Tsuji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.