Daisuke Obinata

1.7k citations
64 papers · 1.1k · h-index 21

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
  • Urology top 5%

Papers in

Daisuke Obinata

59 papers receiving 1.1k citations

Peers

Daisuke Obinata
Comparison fields: 5 of 69
  • Cancer Research 200
  • Urology 56
  • Rheumatology 137
  • Pulmonary and Respiratory Medicine 277
  • Genetics 82
Replace Simone Treiger Sredni with:
Simone Treiger Sredni United States
Kelly J. Gordon United States
Gabrielle S. Wong United States
Jiefu Huang China
Roxanne Toivanen Australia
Debashish Bose United States
Matthew R. Eber United States
Colleen Wu United States
Sandra Cauwenberghs Netherlands
L L Leung United States
Daisuke Obinata relative to Simone Treiger Sredni United States Simone Treiger Sredni's profile →
Citations per field
00.5×2.9×
Simone Treiger Sredni · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200977
2 201664
3 201762
4 201762
5 201055
6 201252
7 201148
8 201148
9 201639
10 201736
11 201735
12 201434
13 201634
14 202030
15 201929
16 201127
17 201324
18 201624
19 201922
20 201121

About Daisuke Obinata

Daisuke Obinata is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Surgery, Molecular Biology and Oncology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (22 papers), Pelvic floor disorders treatments (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Hormonal and reproductive studies (5 papers), Urologic and reproductive health conditions (4 papers), Estrogen and related hormone effects (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (200 citations), Urology (56 citations), Rheumatology (137 citations), Pulmonary and Respiratory Medicine (277 citations) and Genetics (82 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 Clinical Cancer Research.

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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