Yukihiko Sonoda
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 123
- Hematology top 0.5%
- Cancer Research top 5%
- Neurology top 2%
- Vascular Malformations Diagnosis and Treatment 18
- Neurofibromatosis and Schwannoma Cases 16
- Neuroblastoma Research and Treatments 12
- Molecular Biology top 5%
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- Meningioma and schwannoma management 37
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- Brain Metastases and Treatment 22
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- Cerebrospinal fluid and hydrocephalus 19
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- Radiomics and Machine Learning in Medical Imaging 12
- Co-authors
- Teiji TominagaToshihiro KumabeMasayuki KanamoriRyuta SaitoS YokotaS MisawaToshiki IwaiT Fujimoto
- Cited by
- GeneticsHematologyCancer Research
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yukihiko Sonoda
200 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Genetics 2.2k
- Hematology 1.2k
- Cancer Research 642
- Neurology 592
- Molecular Biology 1.6k
Countries citing papers authored by Yukihiko Sonoda
This map shows the geographic impact of Yukihiko Sonoda'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 Yukihiko Sonoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukihiko Sonoda more than expected).
Fields of papers citing papers by Yukihiko Sonoda
This network shows the impact of papers produced by Yukihiko Sonoda. 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 Yukihiko Sonoda. The network helps show where Yukihiko Sonoda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukihiko Sonoda, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 0 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 20 | |
| 17 | 2014 | 23 | |
| 18 | 2011 | 10 | |
| 19 | 2011 | 5 | |
| 20 | Overexpression of vascular endothelial growth factor isoforms drives oxygenation and growth but not progression to glioblastoma multiforme in a human model of gliomagenesis. | 2003 | 32 |
About Yukihiko Sonoda
Yukihiko Sonoda is a scholar working on Genetics, Neurology and Structural Biology, having authored 224 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (123 papers), Meningioma and schwannoma management (37 papers), Brain Metastases and Treatment (22 papers), Cerebrospinal fluid and hydrocephalus (19 papers), Vascular Malformations Diagnosis and Treatment (18 papers), Neurofibromatosis and Schwannoma Cases (16 papers), Neuroblastoma Research and Treatments (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Genetics (2.2k citations), Hematology (1.2k citations) and Cancer Research (642 citations). Yukihiko Sonoda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Teiji Tominaga, Toshihiro Kumabe, Masayuki Kanamori, Ryuta Saito, S Yokota, S Misawa, Toshiki Iwai, T Fujimoto, Kiyotaka Kashima and Shigeo Horiike.
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.