Zenya Naito
- Molecular Biology top 5%
- Oncology top 2%
- Surgery top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Toshiyuki IshiwataGorô AsanoTakashi TajiriEiji UchidaKiyoko KawaharaMitsuhiro KudoYoko MatsudaTetsushi Yamamoto
- Topics
- Fibroblast Growth Factor Research (20 papers)Pancreatic and Hepatic Oncology Research (19 papers)Cancer Cells and Metastasis (18 papers)
- Cited by
- Cancer ResearchOncologyCell Biology
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchOncogene
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Zenya Naito
238 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.9k
- Oncology 1.2k
- Surgery 962
- Cancer Research 744
- Pulmonary and Respiratory Medicine 697
Countries citing papers authored by Zenya Naito
This map shows the geographic impact of Zenya Naito'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 Zenya Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zenya Naito more than expected).
Fields of papers citing papers by Zenya Naito
This network shows the impact of papers produced by Zenya Naito. 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 Zenya Naito. The network helps show where Zenya Naito may publish in the future.
Co-authorship network of co-authors of Zenya Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Zenya Naito. A scholar is included among the top collaborators of Zenya Naito 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 Zenya Naito. Zenya Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 37 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | Epithelial Splicing Regulatory Protein 1 is a Favorable Prognostic Factor in Pancreatic Cancer that Attenuates Pancreatic Metastases | 1 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | Definitive diagnosis of mesothelioma by effusion cytology-Use of the cell transfer method or cell block method for immunochemical staining-:—Use of the cell transfer method or cell block method for immunochemical staining— | 0 |
| 14 | A case report on pleural mesothelioma : Effective application of the cell block method to body cavity fluid cytological analysis | 1 |
| 15 | 57 | |
| 16 | 69 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 41 | |
| 20 | 1 |
About Zenya Naito
Zenya Naito is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 248 papers that have together received 4.5k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (20 papers), Pancreatic and Hepatic Oncology Research (19 papers) and Cancer Cells and Metastasis (18 papers). The work is most often cited by research in Cancer Research (744 citations), Oncology (1.2k citations) and Cell Biology (675 citations). Zenya Naito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshiyuki Ishiwata, Gorô Asano, Takashi Tajiri, Eiji Uchida, Kiyoko Kawahara, Mitsuhiro Kudo, Yoko Matsuda, Yoko Matsuda, Tetsushi Yamamoto and Yuichi Sugisaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.
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.