Jun Teishima
- Cancer Research top 5%
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- Prostate Cancer Treatment and Research 47
- Renal cell carcinoma treatment 45
- Prostate Cancer Diagnosis and Treatment 34
- Urology top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 14
- Molecular Biology top 10%
- Renal and related cancers 22
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- Bladder and Urothelial Cancer Treatments 41
- Urinary and Genital Oncology Studies 22
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- Urologic and reproductive health conditions 15
- Co-authors
- Akio MatsubaraTetsutaro HayashiShogo InoueYohei SekinoWataru YasuiKazuhiro SentaniKeisuke GotoNaohide Oue
- Journals
- International Journal of Urology (20 papers)Urologic Oncology Seminars and Original Investigations (11 papers)Anticancer Research (5 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Teishima
173 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 400
- Pulmonary and Respiratory Medicine 838
- Urology 143
- Oncology 494
- Molecular Biology 787
Countries citing papers authored by Jun Teishima
This map shows the geographic impact of Jun Teishima'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 Teishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Teishima more than expected).
Fields of papers citing papers by Jun Teishima
This network shows the impact of papers produced by Jun Teishima. 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 Teishima. The network helps show where Jun Teishima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Teishima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | Laparoendoscopic single-site adrenalectomy sans transumbilical approach: initial experience in Japan. | 2014 | 7 |
| 19 | 2012 | 9 | |
| 20 | Decreased expression of insulin-like growth factor binding protein related protein-1(IGFBP-rP1) gene inradiation-induced mouse hepatomas : | 2001 | 1 |
About Jun Teishima
Jun Teishima is a scholar working on Pulmonary and Respiratory Medicine, Urology and Oncology, having authored 186 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (47 papers), Renal cell carcinoma treatment (45 papers), Bladder and Urothelial Cancer Treatments (41 papers), Prostate Cancer Diagnosis and Treatment (34 papers), Urinary and Genital Oncology Studies (22 papers), Renal and related cancers (22 papers), Urologic and reproductive health conditions (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). The work is most often cited by research in Cancer Research (400 citations), Pulmonary and Respiratory Medicine (838 citations) and Urology (143 citations). Jun Teishima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Akio Matsubara, Tetsutaro Hayashi, Shogo Inoue, Yohei Sekino, Wataru Yasui, Kazuhiro Sentani, Keisuke Goto, Naohide Oue, Naoya Sakamoto and Mitsuru Kajiwara. Their work appears in journals such as International Journal of Urology, Urologic Oncology Seminars and Original Investigations, Anticancer Research, British Journal of Urology and Pathobiology.
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.