Hideyuki Abe
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Renal cell carcinoma treatment 12
- Prostate Cancer Treatment and Research 4
- Prostate Cancer Diagnosis and Treatment 3
- Oncology 12
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Takao Kamai (36 shared papers)Ken‐Ichiro Yoshida (23 shared papers)Kyoko Arai (15 shared papers)Akinori Masuda (10 shared papers)Hiromichi Shirataki (6 shared papers)Tomoya Mizuno (12 shared papers)Akinori Nukui (9 shared papers)Hironori Betsunoh (13 shared papers)
- Journals
- BMC Cancer (9 papers)Cancer Immunology Immunotherapy (3 papers)BMC Urology (3 papers)International Journal of Urology (2 papers)Oncotarget (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hideyuki Abe
38 papers receiving 730 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 154
- Oncology 246
- Pulmonary and Respiratory Medicine 227
- Biochemistry 42
- Molecular Biology 362
Countries citing papers authored by Hideyuki Abe
This map shows the geographic impact of Hideyuki Abe'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 Hideyuki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Abe more than expected).
Fields of papers citing papers by Hideyuki Abe
This network shows the impact of papers produced by Hideyuki Abe. 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 Hideyuki Abe. The network helps show where Hideyuki Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideyuki Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 65 | |
| 2 | 2010 | 64 | |
| 3 | 2008 | 58 | |
| 4 | 2009 | 55 | |
| 5 | 2013 | 51 | |
| 6 | 2016 | 47 | |
| 7 | 2014 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2015 | 28 | |
| 10 | 2008 | 28 | |
| 11 | 2017 | 21 | |
| 12 | 2014 | 20 | |
| 13 | 2009 | 18 | |
| 14 | 2011 | 16 | |
| 15 | 2007 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2018 | 13 |
About Hideyuki Abe
Hideyuki Abe is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Surgery and Immunology, having authored 39 papers that have together received 739 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Bladder and Urothelial Cancer Treatments (5 papers), Prostate Cancer Treatment and Research (4 papers), Renal and related cancers (4 papers), Cancer Genomics and Diagnostics (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Urinary and Genital Oncology Studies (2 papers). The work is most often cited by research in Cancer Research (154 citations), Oncology (246 citations), Pulmonary and Respiratory Medicine (227 citations), Biochemistry (42 citations) and Molecular Biology (362 citations). Hideyuki Abe has collaborated with scholars based in Japan and United States. Frequent co-authors include Takao Kamai, Ken‐Ichiro Yoshida, Kyoko Arai, Akinori Masuda, Hiromichi Shirataki, Tomoya Mizuno, Akinori Nukui, Hironori Betsunoh, Tetsunari Oyama and Yoshitatsu Fukabori. Their work appears in journals such as BMC Cancer, Cancer Immunology Immunotherapy, BMC Urology, International Journal of Urology and Oncotarget.
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.