Yukio Naya
- Molecular Biology top 5%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Tomohiko IchikawaSatoko KojimaNaohiko SekiHiroyoshi SuzukiYusuke GotoMasayuki NakagawaHideki EnokidaTakashi Imamoto
- Topics
- MicroRNA in disease regulation (27 papers)Prostate Cancer Treatment and Research (20 papers)Cancer-related molecular mechanisms research (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Yukio Naya
99 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.5k
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 868
- Surgery 449
- Endocrinology, Diabetes and Metabolism 409
Countries citing papers authored by Yukio Naya
This map shows the geographic impact of Yukio Naya'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 Yukio Naya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Naya more than expected).
Fields of papers citing papers by Yukio Naya
This network shows the impact of papers produced by Yukio Naya. 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 Yukio Naya. The network helps show where Yukio Naya may publish in the future.
Co-authorship network of co-authors of Yukio Naya
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Naya. A scholar is included among the top collaborators of Yukio Naya 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 Yukio Naya. Yukio Naya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | The microRNA signature of patients with sunitinib failure: regulation of UHRF1 pathways by microRNA-101 in renal cell carcinoma | 3 |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 34 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 61 | |
| 12 | 11 | |
| 13 | 90 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 64 | |
| 19 | 59 | |
| 20 | 35 |
About Yukio Naya
Yukio Naya is a scholar working on Cancer Research, Urology and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (27 papers), Prostate Cancer Treatment and Research (20 papers) and Cancer-related molecular mechanisms research (16 papers). The work is most often cited by research in Cancer Research (1.3k citations), Pulmonary and Respiratory Medicine (868 citations) and Endocrinology, Diabetes and Metabolism (409 citations). Yukio Naya has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Tomohiko Ichikawa, Satoko Kojima, Naohiko Seki, Hiroyoshi Suzuki, Yusuke Goto, Masayuki Nakagawa, Hideki Enokida, Takashi Imamoto, Kazuto Yamazaki and Takeshi Chiyomaru. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.
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.