Hiroshi Eto

3.2k citations
97 papers · 2.5k · h-index 28

Impact in

Papers in

    • Prostate Cancer Diagnosis and Treatment 24
    • Prostate Cancer Treatment and Research 9
    • Renal cell carcinoma treatment 7
    • Bladder and Urothelial Cancer Treatments 18

Hiroshi Eto

95 papers receiving 2.5k citations

Peers

Hiroshi Eto
Comparison fields: 5 of 117
  • Aquatic Science 356
  • Cancer Research 355
  • Immunology 366
  • Oncology 431
  • Pulmonary and Respiratory Medicine 497
Replace Toshio Seyama with:
Toshio Seyama Japan
Judit Pallarés Spain
Jonathan Lopez France
Stefan Balabanov Germany
Marek Jakóbisiak Poland
Sachiko Ogasawara Japan
Baiyong Shen China
Narayan Shivapurkar United States
Germana Castelli Italy
Laura P. Stabile United States
Hiroshi Eto relative to Toshio Seyama Japan Toshio Seyama's profile →
Citations per field
00.5×10×20×25.4×
Toshio Seyama · 1×
Citations per year

Countries citing papers authored by Hiroshi Eto

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999399
2 2011150
3 2013115
4 1998109
5 2005107
6 200486
7 199778
8 199971
9 200468
10 200257
11 200556
12 201355
13 200554
14 200254
15 199850
16 200548
17 200047
18 200444
19 200742
20 200341

About Hiroshi Eto

Hiroshi Eto is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Oncology and Computational Theory and Mathematics, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (24 papers), Bladder and Urothelial Cancer Treatments (18 papers), Prostate Cancer Treatment and Research (9 papers), Renal cell carcinoma treatment (7 papers), Advanced Graph Theory Research (7 papers), Seaweed-derived Bioactive Compounds (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Aquatic Science (356 citations), Cancer Research (355 citations), Immunology (366 citations), Oncology (431 citations) and Pulmonary and Respiratory Medicine (497 citations). Hiroshi Eto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Isao Hara, Hideaki Miyake, Sadao Kamidono, Sanetaka Shirahata, Kiichiro Teruya, Zhongyuan Zhang, Nobuhiko Kayagaki, Noriko Yamaguchi, M. NAKAYAMA and Ko Okumura. Their work appears in journals such as International Journal of Urology, The Journal of Urology, International Journal of Clinical Oncology, British Journal of Urology and International Journal of Cancer.

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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