Shinya Iida
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- RNA Interference and Gene Delivery 3
- Metabolism, Diabetes, and Cancer 3
- Surgery 8
- Co-authors
- Hideyoshi Harashima (6 shared papers)Susumu Hama (1 shared paper)Hiroyuki Mizuguchi (1 shared paper)Hidetaka Akita (1 shared paper)Akio Adachi (5 shared papers)Tomoharu Fukumori (5 shared papers)Hirofumi Akari (4 shared papers)Hironobu Sasano (6 shared papers)
- Journals
- Biological and Pharmaceutical Bulletin (4 papers)Journal of Neurochemistry (2 papers)Virus Genes (2 papers)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Shinya Iida
45 papers receiving 735 citations
Peers
Comparison fields: 5 of 94
- Virology 106
- Cancer Research 87
- Oncology 135
- Molecular Biology 338
- Genetics 129
Countries citing papers authored by Shinya Iida
This map shows the geographic impact of Shinya Iida'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 Shinya Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Iida more than expected).
Fields of papers citing papers by Shinya Iida
This network shows the impact of papers produced by Shinya Iida. 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 Shinya Iida. The network helps show where Shinya Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinya Iida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 1998 | 59 | |
| 3 | 1999 | 53 | |
| 4 | 2010 | 51 | |
| 5 | 2014 | 46 | |
| 6 | 2005 | 41 | |
| 7 | 2011 | 39 | |
| 8 | 2002 | 34 | |
| 9 | 1999 | 34 | |
| 10 | 2013 | 34 | |
| 11 | 2010 | 32 | |
| 12 | 2011 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2013 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2004 | 15 | |
| 17 | 2010 | 14 | |
| 18 | 2021 | 13 | |
| 19 | Activation of AXL and antitumor effects of a monoclonal antibody to AXL in lung adenocarcinoma. | 2014 | 12 |
| 20 | 2010 | 11 |
About Shinya Iida
Shinya Iida is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Pathology and Forensic Medicine, having authored 47 papers that have together received 750 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Breast Cancer Treatment Studies (4 papers), Breast Lesions and Carcinomas (4 papers), RNA Interference and Gene Delivery (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), HIV/AIDS drug development and treatment (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Virology (106 citations), Cancer Research (87 citations), Oncology (135 citations), Molecular Biology (338 citations) and Genetics (129 citations). Shinya Iida has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Hideyoshi Harashima, Susumu Hama, Hiroyuki Mizuguchi, Hidetaka Akita, Akio Adachi, Tomoharu Fukumori, Hirofumi Akari, Hironobu Sasano, A. Hajime Koyama and Yasuhiro Miki. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Journal of Neurochemistry, Virus Genes, Scientific Reports and Clinical 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.