Hiroshi Matsui

2.6k citations
141 papers · 2.0k · h-index 25

Impact in

Papers in

Hiroshi Matsui

127 papers receiving 2.0k citations

Peers

Hiroshi Matsui
Comparison fields: 5 of 125
  • Medical Terminology 4
  • Pulmonary and Respiratory Medicine 487
  • Cancer Research 224
  • Endocrinology, Diabetes and Metabolism 192
  • General Decision Sciences 23
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Citations per field
00.5×4.6×
Qiong Dong · 1×
Citations per year

Countries citing papers authored by Hiroshi Matsui

Since Specialization
Citations

This map shows the geographic impact of Hiroshi Matsui'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 Hiroshi Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Matsui more than expected).

Fields of papers citing papers by Hiroshi Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroshi Matsui. 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 Hiroshi Matsui. The network helps show where Hiroshi Matsui may publish in the future.

Co-authors

The 25 scholars most cited alongside Hiroshi Matsui, 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 Hiroshi Matsui Line = papers co-authored together Hiroshi Matsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002163
2 1998103
3 200388
4 200372
5 200364
6 200163
7 201561
8
Association of genetic polymorphisms of glutathione-S-transferase genes (GSTM1, GSTT1 and GSTP1) with familial prostate cancer risk in a Japanese population.
200359
9 200959
10 200356
11 200353
12 200849
13 201044
14 201244
15 200639
16 201237
17
The combination of multi-voxel MR spectroscopy with MR imaging improve the diagnostic accuracy for localization of prostate cancer.
200337
18 200335
19
Association of the genetic polymorphism of the CYP19 intron 4[TTTA]n repeat with familial prostate cancer risk in a Japanese population.
200433
20 200332

About Hiroshi Matsui

Hiroshi Matsui is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Cancer Research, having authored 141 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (23 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cancer, Lipids, and Metabolism (8 papers), Glutathione Transferases and Polymorphisms (6 papers), Hormonal and reproductive studies (5 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Medical Terminology (4 citations), Pulmonary and Respiratory Medicine (487 citations), Cancer Research (224 citations), Endocrinology, Diabetes and Metabolism (192 citations) and General Decision Sciences (23 citations). Hiroshi Matsui has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Kazuhiro Suzuki, Hidekazu Koike, Kazuto Ito, Hidetoshi Yamanaka, Haruki Nakazato, Yoshitaka Sekine, Nobuaki Ohtake, Masaru Hasumi, Seiji Nakata and Hironobu Okugi. Their work appears in journals such as The Journal of Urology, International Journal of Urology, BMC Urology, The Prostate and Biochemical and Biophysical Research Communications.

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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