Kenichiro Okada
- Molecular Biology top 10%
- Cell Biology top 2%
- Epidemiology top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Tetsuo MinaminoMasafumi KitakazeOsamu TsukamotoSeiji TakashimaAkio HirataMasatsugu HoriYulin LiaoHiroshi Asanuma
- Topics
- Urinary Bladder and Prostate Research (11 papers)Prostate Cancer Diagnosis and Treatment (10 papers)Bladder and Urothelial Cancer Treatments (10 papers)
- Cited by
- Cell BiologyUrologyPhysiology
- Journals
- CirculationJournal of the American College of CardiologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
Kenichiro Okada
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 840
- Cell Biology 748
- Epidemiology 505
- Surgery 449
- Cardiology and Cardiovascular Medicine 442
Countries citing papers authored by Kenichiro Okada
This map shows the geographic impact of Kenichiro Okada'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 Kenichiro Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Okada more than expected).
Fields of papers citing papers by Kenichiro Okada
This network shows the impact of papers produced by Kenichiro Okada. 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 Kenichiro Okada. The network helps show where Kenichiro Okada may publish in the future.
Co-authorship network of co-authors of Kenichiro Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichiro Okada. A scholar is included among the top collaborators of Kenichiro Okada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenichiro Okada. Kenichiro Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 84 | |
| 3 | 111 | |
| 4 | 14 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 28 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Comparative study on levofloxacin and ofloxacin in complicated urinary tract infections | 5 |
| 17 | 1 | |
| 18 | Clinical application of MRI for urological malignancy, 1 | 1 |
| 19 | 0 | |
| 20 | METASTATIC URETHRAL TUMOR FROM CARCINOMA OF THE BREAST: A CASE REPORT | 0 |
About Kenichiro Okada
Kenichiro Okada is a scholar working on Urology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (11 papers), Prostate Cancer Diagnosis and Treatment (10 papers) and Bladder and Urothelial Cancer Treatments (10 papers). The work is most often cited by research in Cell Biology (748 citations), Urology (220 citations) and Physiology (91 citations). Kenichiro Okada has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Tetsuo Minamino, Masafumi Kitakaze, Osamu Tsukamoto, Seiji Takashima, Akio Hirata, Masatsugu Hori, Yulin Liao, Hiroshi Asanuma, Masafumi Myoishi and Hiroshi Kanamaru. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.
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.