Eriko Tsukamoto
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 10%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Nagara TamakiYuji KugeToshiki TakeiMasaharu NishimuraShinji IshimaruIchizo TsujinoShinji SakaueHiroshi Ohira
- Topics
- Medical Imaging Techniques and Applications (37 papers)Cardiac Imaging and Diagnostics (18 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineOtorhinolaryngology
- Journals
- BloodCancerEuropean Heart Journal
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eriko Tsukamoto
95 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 1.1k
- Surgery 516
- Physiology 512
- Cardiology and Cardiovascular Medicine 309
Countries citing papers authored by Eriko Tsukamoto
This map shows the geographic impact of Eriko Tsukamoto'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 Eriko Tsukamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriko Tsukamoto more than expected).
Fields of papers citing papers by Eriko Tsukamoto
This network shows the impact of papers produced by Eriko Tsukamoto. 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 Eriko Tsukamoto. The network helps show where Eriko Tsukamoto may publish in the future.
Co-authorship network of co-authors of Eriko Tsukamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Eriko Tsukamoto. A scholar is included among the top collaborators of Eriko Tsukamoto 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 Eriko Tsukamoto. Eriko Tsukamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 56 | |
| 5 | 25 | |
| 6 | 22 | |
| 7 | 81 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 4 | |
| 11 | Relationship among 201T1 uptake, nuclear DNA content and clinical behavior in metastatic thyroid carcinoma. | 13 |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 21 | |
| 15 | 14 | |
| 16 | 16 | |
| 17 | Role of 99m Tc-labeled RBC SPECT in the diagnosis of hepatic hemangioma | 1 |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 2 |
About Eriko Tsukamoto
Eriko Tsukamoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (37 papers), Cardiac Imaging and Diagnostics (18 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (1.1k citations) and Otorhinolaryngology (111 citations). Eriko Tsukamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nagara Tamaki, Yuji Kuge, Toshiki Takei, Masaharu Nishimura, Shinji Ishimaru, Ichizo Tsujino, Shinji Sakaue, Hiroshi Ohira, Takafumi Mochizuki and Kakuko Kanegae. Their work appears in journals such as Blood, Cancer and European Heart Journal.
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.