T Matsuzawa
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Cancer Research top 5%
- Oncology
- Co-authors
- Tatsuo IdoJun HatazawaHarutsugu YamauraMasatoshi ItoTakehiko FujiwaraKiichi IshiwataKazuo KubotaHiroshi Fukuda
- Topics
- Medical Imaging Techniques and Applications (36 papers)Cancer, Hypoxia, and Metabolism (26 papers)Radiopharmaceutical Chemistry and Applications (19 papers)
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
T Matsuzawa
163 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 140
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pulmonary and Respiratory Medicine 681
- Molecular Biology 514
- Cancer Research 479
- Oncology 210
Countries citing papers authored by T Matsuzawa
This map shows the geographic impact of T Matsuzawa'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 T Matsuzawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Matsuzawa more than expected).
Fields of papers citing papers by T Matsuzawa
This network shows the impact of papers produced by T Matsuzawa. 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 T Matsuzawa. The network helps show where T Matsuzawa may publish in the future.
Co-authorship network of co-authors of T Matsuzawa
This figure shows the co-authorship network connecting the top 25 collaborators of T Matsuzawa. A scholar is included among the top collaborators of T Matsuzawa 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 T Matsuzawa. T Matsuzawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Microheterogeneity observed in sds-pa6e and ief of rat and human alanine aminotransferase | 3 |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 14 | |
| 5 | Rapid and sensitive response of carbon-11-L-methionine tumor uptake to irradiation. | 26 |
| 6 | 37 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 2-deoxy-2-( 18 F)fluoro-D-galactose: a new tracer for the evaluation of liver function by PET, 1 | 2 |
| 15 | 1 | |
| 16 | Characteristics of Specific in Vivo Labeling of Neuroleptic Binding Sites with 3-[11C]Methylspiperone | 1 |
| 17 | 1 | |
| 18 | Difference in Glucose Metabolism among Brain, Myocardium and Tumor | 0 |
| 19 | 60 | |
| 20 | 9 |
About T Matsuzawa
T Matsuzawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Biochemistry, having authored 174 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (36 papers), Cancer, Hypoxia, and Metabolism (26 papers) and Radiopharmaceutical Chemistry and Applications (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Cancer Research (479 citations) and Biochemistry (156 citations). T Matsuzawa has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Tatsuo Ido, Jun Hatazawa, Harutsugu Yamaura, Masatoshi Ito, Takehiko Fujiwara, Kiichi Ishiwata, Kazuo Kubota, Hiroshi Fukuda, Kenji Yamada and Masatoshi Itoh. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Stroke and Annals of Neurology.
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.