Daisuke Obinata

1.8k citations
71 papers · 1.3k · h-index 23

Impact in

Papers in

Daisuke Obinata

66 papers receiving 1.3k citations

Peers

Daisuke Obinata
Comparison fields: 5 of 71
  • Cancer Research 265
  • Pulmonary and Respiratory Medicine 394
  • Urology 59
  • Rheumatology 142
  • Genetics 90
Replace E. Lynette Wilson with:
E. Lynette Wilson United States
Mathilde Kaper United States
Gabrielle S. Wong United States
Hugo Prazeres Portugal
Satoshi Kiyama Japan
Peter C. Haughney United States
Roxanne Toivanen Australia
Françoise Descôtes France
Cunha Gr United States
Stephanie J. McAlhany United States
Daisuke Obinata relative to E. Lynette Wilson United States E. Lynette Wilson's profile →
Citations per field
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E. Lynette Wilson · 1×
Citations per year

Countries citing papers authored by Daisuke Obinata

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Obinata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 200986
3 201665
4 201765
5 201763
6 201057
7 201254
8 201150
9 201150
10 201645
11 202142
12 201739
13 201737
14 201437
15 201634
16 202033
17 201932
18 201127
19 201626
20 201324

About Daisuke Obinata

Daisuke Obinata is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Oncology, Surgery and Urology, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (24 papers), Pelvic floor disorders treatments (8 papers), Bladder and Urothelial Cancer Treatments (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Hormonal and reproductive studies (5 papers), Estrogen and related hormone effects (4 papers) and Urologic and reproductive health conditions (4 papers). The work is most often cited by research in Cancer Research (265 citations), Pulmonary and Respiratory Medicine (394 citations), Urology (59 citations), Rheumatology (142 citations) and Genetics (90 citations). Daisuke Obinata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Satoru Takahashi, Satoshi Inoue, Ken‐ichi Takayama, Tomohiko Urano, Kenya Yamaguchi, Tetsuya Fujimura, Daisaku Ashikari, Yukio Homma, Noboru Fukuda and Takahiro Sakuma. Their work appears in journals such as International Journal of Urology, Cancer Science, Medicine, Scientific Reports and BMC Urology.

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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