Shiro Fukuda
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Molecular Biology top 5%
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 4
- Endocrinology top 10%
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- Spinal Cord Injury Research 3
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- Calpain Protease Function and Regulation 2
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- Anesthesia and Pain Management 2
- Co-authors
- Yoshihide HayashizakiPiero CarninciShintaro KatayamaMari NakamuraJun KawaiChikatoshi KaiDaisuke SasakiMatthias Harbers
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Methods (1 paper)Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shiro Fukuda
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 783
- Molecular Biology 1.6k
- Endocrinology 53
- Developmental Neuroscience 29
- Genetics 164
Countries citing papers authored by Shiro Fukuda
This map shows the geographic impact of Shiro Fukuda'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 Shiro Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiro Fukuda more than expected).
Fields of papers citing papers by Shiro Fukuda
This network shows the impact of papers produced by Shiro Fukuda. 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 Shiro Fukuda. The network helps show where Shiro Fukuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shiro Fukuda, 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 | 2024 | 1 | |
| 2 | 2020 | 22 | |
| 3 | 2017 | 6 | |
| 4 | [Desflurane Anesthesia and Intraoperative Motor Evoked Potential Monitoring of a Patient with Cervical Cavernous Hemangioma Complicated with Liver Cirrhosis]. | 2016 | 1 |
| 5 | 2009 | 27 | |
| 6 | 2009 | 48 | |
| 7 | 2009 | 4 | |
| 8 | 2009 | 7 | |
| 9 | 2008 | 238 | |
| 10 | 2007 | 46 | |
| 11 | 2006 | 288 | |
| 12 | 2006 | 9 | |
| 13 | 2006 | 137 | |
| 14 | 2005 | 413 | |
| 15 | 2004 | 17 | |
| 16 | Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usagebreakdown → | 2003 | 506 |
| 17 | 2003 | 36 | |
| 18 | 1998 | 17 | |
| 19 | 1998 | 44 | |
| 20 | 1997 | 29 |
About Shiro Fukuda
Shiro Fukuda is a scholar working on Cancer Research, Pathology and Forensic Medicine and Biochemistry, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA and protein synthesis mechanisms (4 papers), Spinal Cord Injury Research (3 papers), MicroRNA in disease regulation (3 papers), Calpain Protease Function and Regulation (2 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Cancer Research (783 citations), Molecular Biology (1.6k citations) and Endocrinology (53 citations). Shiro Fukuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihide Hayashizaki, Piero Carninci, Shintaro Katayama, Mari Nakamura, Jun Kawai, Chikatoshi Kai, Daisuke Sasaki, Matthias Harbers, Rimantas Kodzius and Hideya Kawaji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods 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.