Jun Sugimura
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- Renal cell carcinoma treatment
- Ferroptosis and cancer prognosis
Papers in
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- Renal cell carcinoma treatment 19
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- Renal and related cancers 14
- Epigenetics and DNA Methylation 4
- Co-authors
- Bin Tean Teh (15 shared papers)Ximing J. Yang (11 shared papers)Maria Tretiakova (7 shared papers)Masayuki Takahashi (7 shared papers)Nicholas J. Vogelzang (6 shared papers)Susumu Kagawa (3 shared papers)Kyle A. Furge (4 shared papers)Richard J. Kahnoski (3 shared papers)
- Journals
- Neurologia medico-chirurgica (5 papers)The Journal of Urology (5 papers)Human Pathology (2 papers)International Journal of Urology (2 papers)American Journal of Clinical Pathology (2 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Jun Sugimura
56 papers receiving 997 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 372
- Pulmonary and Respiratory Medicine 612
- Molecular Biology 711
- Nephrology 34
- Oncology 104
Countries citing papers authored by Jun Sugimura
This map shows the geographic impact of Jun Sugimura'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 Jun Sugimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sugimura more than expected).
Fields of papers citing papers by Jun Sugimura
This network shows the impact of papers produced by Jun Sugimura. 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 Jun Sugimura. The network helps show where Jun Sugimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sugimura, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 155 | |
| 2 | Inactivation of BHD in sporadic renal tumors. | 2003 | 92 |
| 3 | 2003 | 89 | |
| 4 | 2004 | 82 | |
| 5 | 2005 | 77 | |
| 6 | 2006 | 59 | |
| 7 | 2004 | 58 | |
| 8 | 2004 | 43 | |
| 9 | Diagnostic value of cytokeratin 7 and parvalbumin in differentiating chromophobe renal cell carcinoma from renal oncocytoma. | 2006 | 39 |
| 10 | 2005 | 36 | |
| 11 | 2005 | 36 | |
| 12 | 2003 | 27 | |
| 13 | 2018 | 24 | |
| 14 | 2000 | 15 | |
| 15 | 2011 | 15 | |
| 16 | 2008 | 15 | |
| 17 | 1987 | 14 | |
| 18 | 1998 | 12 | |
| 19 | 2004 | 11 | |
| 20 | 2018 | 11 |
About Jun Sugimura
Jun Sugimura is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Cancer Research and Neurology, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (19 papers), Renal and related cancers (14 papers), Cancer Genomics and Diagnostics (7 papers), Pediatric Urology and Nephrology Studies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Urological Disorders and Treatments (4 papers) and Neurosurgical Procedures and Complications (4 papers). The work is most often cited by research in Cancer Research (372 citations), Pulmonary and Respiratory Medicine (612 citations), Molecular Biology (711 citations), Nephrology (34 citations) and Oncology (104 citations). Jun Sugimura has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Bin Tean Teh, Ximing J. Yang, Maria Tretiakova, Masayuki Takahashi, Nicholas J. Vogelzang, Susumu Kagawa, Kyle A. Furge, Richard J. Kahnoski, Robert C. Knapp and Kyle Furge. Their work appears in journals such as Neurologia medico-chirurgica, The Journal of Urology, Human Pathology, International Journal of Urology and American Journal of Clinical Pathology.
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.