Naoki Tanda
Impact in
- Urology top 5%
- Urinary Bladder and Prostate Research
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Surgery 6
- Bladder and Urothelial Cancer Treatments 6
- Urinary and Genital Oncology Studies 1
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Tomoaki Takai (15 shared papers)Teruo Inamoto (15 shared papers)Kiyoshi Takahara (13 shared papers)Hajime Hirano (14 shared papers)Hayahito Nomi (14 shared papers)Haruhito Azuma (13 shared papers)Koichiro Minami (12 shared papers)Kazumasa Komura (11 shared papers)
- Journals
- International Journal of Oncology (1 paper)The Journal of Urology (1 paper)Disease Markers (1 paper)Oncotarget (1 paper)British Journal of Urology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Naoki Tanda
15 papers receiving 322 citations
Peers
Comparison fields: 5 of 36
- Urology 56
- Cancer Research 127
- Genetics 27
- Molecular Biology 161
- Developmental Neuroscience 7
Countries citing papers authored by Naoki Tanda
This map shows the geographic impact of Naoki Tanda'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 Naoki Tanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Tanda more than expected).
Fields of papers citing papers by Naoki Tanda
This network shows the impact of papers produced by Naoki Tanda. 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 Naoki Tanda. The network helps show where Naoki Tanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Tanda, 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 | 2016 | 106 | |
| 2 | 2014 | 44 | |
| 3 | 2018 | 41 | |
| 4 | 2015 | 27 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 14 | |
| 7 | 2016 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2015 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2017 | 1 |
About Naoki Tanda
Naoki Tanda is a scholar working on Surgery, Cancer Research, Molecular Biology, Urology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Urinary Bladder and Prostate Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Urinary and Genital Oncology Studies (1 paper). The work is most often cited by research in Urology (56 citations), Cancer Research (127 citations), Genetics (27 citations), Molecular Biology (161 citations) and Developmental Neuroscience (7 citations). Naoki Tanda has collaborated with scholars based in Japan and United States. Frequent co-authors include Tomoaki Takai, Teruo Inamoto, Kiyoshi Takahara, Hajime Hirano, Hayahito Nomi, Haruhito Azuma, Koichiro Minami, Kazumasa Komura, Kenkichi Saito and Taizo Uchimoto. Their work appears in journals such as International Journal of Oncology, The Journal of Urology, Disease Markers, Oncotarget and British Journal of Urology.
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.