Tsutomu Tamada
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Epidemiology top 5%
- Hepatology top 2%
- Co-authors
- Teruki SoneAkira YamamotoKatsuyoshi ItoHiroki HigashiYoshimasa JoAkihiko KankiDaigo TanimotoAtsushi Higaki
- Topics
- MRI in cancer diagnosis (55 papers)Prostate Cancer Diagnosis and Treatment (42 papers)Prostate Cancer Treatment and Research (23 papers)
- Journals
- PLoS ONEScientific ReportsRadiology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tsutomu Tamada
118 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 1.4k
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 535
- Epidemiology 498
- Hepatology 468
Countries citing papers authored by Tsutomu Tamada
This map shows the geographic impact of Tsutomu Tamada'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 Tsutomu Tamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Tamada more than expected).
Fields of papers citing papers by Tsutomu Tamada
This network shows the impact of papers produced by Tsutomu Tamada. 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 Tsutomu Tamada. The network helps show where Tsutomu Tamada may publish in the future.
Co-authorship network of co-authors of Tsutomu Tamada
This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Tamada. A scholar is included among the top collaborators of Tsutomu Tamada 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 Tsutomu Tamada. Tsutomu Tamada 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 | 4 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 27 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 23 | |
| 13 | 28 | |
| 14 | 29 | |
| 15 | 129 | |
| 16 | 19 | |
| 17 | 25 | |
| 18 | 56 | |
| 19 | [Hepatocellular carcinoma--a comparative study of MR imaging and angiography]. | 0 |
| 20 | 68. Investigation of the Possibility of CA 125 a New Tumor Marker, In Screening Ovarian Cancers Including the Study of False Positive Cases | 1 |
About Tsutomu Tamada
Tsutomu Tamada is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine, having authored 133 papers that have together received 2.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (55 papers), Prostate Cancer Diagnosis and Treatment (42 papers) and Prostate Cancer Treatment and Research (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Hepatology (468 citations) and Pulmonary and Respiratory Medicine (1.3k citations). Tsutomu Tamada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Teruki Sone, Akira Yamamoto, Katsuyoshi Ito, Hiroki Higashi, Yoshimasa Jo, Akihiko Kanki, Daigo Tanimoto, Atsushi Higaki, Takenori Yamashita and Tomohiro Sato. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.