Yuka Yamamoto
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 1%
- Surgery top 10%
- Cancer Research top 5%
- Co-authors
- Yoshihiro NishiyamaMotoomi OhkawaKatashi SatohNobuyuki KawaiTakashi TamiyaYukito MaedaNobuyuki KudomiReiji Haba
- Topics
- Medical Imaging Techniques and Applications (80 papers)Glioma Diagnosis and Treatment (46 papers)Radiomics and Machine Learning in Medical Imaging (31 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yuka Yamamoto
239 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 1.6k
- Pulmonary and Respiratory Medicine 1.0k
- Genetics 679
- Surgery 519
- Cancer Research 488
Countries citing papers authored by Yuka Yamamoto
This map shows the geographic impact of Yuka Yamamoto'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 Yuka Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Yamamoto more than expected).
Fields of papers citing papers by Yuka Yamamoto
This network shows the impact of papers produced by Yuka Yamamoto. 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 Yuka Yamamoto. The network helps show where Yuka Yamamoto may publish in the future.
Co-authorship network of co-authors of Yuka Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Yamamoto. A scholar is included among the top collaborators of Yuka Yamamoto 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 Yuka Yamamoto. Yuka Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | Materials for the study of distributions of lichenized fungi 38. Myelochroa perisidians. | 0 |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 39 | |
| 14 | 30 | |
| 15 | 39 | |
| 16 | 1 | |
| 17 | 51 | |
| 18 | 10 | |
| 19 | 6 Removal of Primary Tillers and its Impact on Growth and Productivity of Rice Varieties with Different Plant Types | 4 |
| 20 | 10 |
About Yuka Yamamoto
Yuka Yamamoto is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 258 papers that have together received 3.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (80 papers), Glioma Diagnosis and Treatment (46 papers) and Radiomics and Machine Learning in Medical Imaging (31 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Genetics (679 citations) and Otorhinolaryngology (172 citations). Yuka Yamamoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yoshihiro Nishiyama, Motoomi Ohkawa, Katashi Satoh, Nobuyuki Kawai, Takashi Tamiya, Yukito Maeda, Nobuyuki Kudomi, Reiji Haba, Keisuke Miyake and Yasuhiro Sasakawa. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.