T Matsuzawa

3.4k citations
174 papers · 2.7k indexed · h-index 29

T Matsuzawa

163 papers receiving 2.6k citations

Peers

T Matsuzawa
Comparison fields: 5 of 140
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Cancer Research 479
  • Biochemistry 156
  • Pulmonary and Respiratory Medicine 681
  • Neurology 125
Replace Guido Slegers with:
Guido Slegers Belgium
Katsuya Maruyama Japan
Luigi Mansi Italy
Tove J. Grönroos Finland
Axel Bossuyt Belgium
Daila S. Gridley United States
Tadashi Nariai Japan
Jun Toyohara Japan
Carl Pinsky Canada
Jerzy Hildebrand Belgium
T Matsuzawa relative to Guido Slegers Belgium Guido Slegers's profile →
Citations per field
00.5×1.5×2.4×
Guido Slegers · 1×
Citations per year

Countries citing papers authored by T Matsuzawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside T Matsuzawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T Matsuzawa Line = papers co-authored together T Matsuzawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Microheterogeneity observed in sds-pa6e and ief of rat and human alanine aminotransferase
19973
2 199311
3 199213
4 199014
5
Rapid and sensitive response of carbon-11-L-methionine tumor uptake to irradiation.
198926
6 198937
7 19883
8 19880
9 198811
10 19885
11 198816
12 198811
13 19871
14
2-deoxy-2-( 18 F)fluoro-D-galactose: a new tracer for the evaluation of liver function by PET, 1
19872
15 19851
16
Characteristics of Specific in Vivo Labeling of Neuroleptic Binding Sites with 3-[11C]Methylspiperone
19841
17
19831
18
Difference in Glucose Metabolism among Brain, Myocardium and Tumor
19820
19 197960
20 19739

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), Radiopharmaceutical Chemistry and Applications (19 papers), Advanced MRI Techniques and Applications (14 papers), Amino Acid Enzymes and Metabolism (13 papers), Effects of Radiation Exposure (12 papers), Medical Imaging and Pathology Studies (11 papers) and Cerebrovascular and Carotid Artery Diseases (11 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.

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