Yuichi Dai
Impact in
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- Genetic factors in colorectal cancer
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- Cancer Genomics and Diagnostics
Papers in
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- Medical Imaging and Pathology Studies 4
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- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 2
- DNA Repair Mechanisms 1
- FOXO transcription factor regulation 1
- Co-authors
- Manuel Perucho (4 shared papers)Kentaro Yamashita (3 shared papers)Fumiichiro Yamamoto (1 shared paper)Masayuki Noguchi (6 shared papers)Kentaro Mase (4 shared papers)Yukio Morishita (4 shared papers)Hideyuki Shimazaki (1 shared paper)Shinsuke Aida (1 shared paper)
- Journals
- International Journal of Cancer (2 papers)Clinical Cancer Research (1 paper)Circulation Journal (1 paper)Cancer Cell (1 paper)Cancer Medicine (1 paper)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Yuichi Dai
16 papers receiving 330 citations
Peers
Comparison fields: 5 of 46
- Pathology and Forensic Medicine 83
- Cancer Research 50
- Pulmonary and Respiratory Medicine 74
- Molecular Biology 164
- Oncology 50
Countries citing papers authored by Yuichi Dai
This map shows the geographic impact of Yuichi Dai'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 Yuichi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Dai more than expected).
Fields of papers citing papers by Yuichi Dai
This network shows the impact of papers produced by Yuichi Dai. 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 Yuichi Dai. The network helps show where Yuichi Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Dai, 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 | 2003 | 149 | |
| 2 | 2008 | 43 | |
| 3 | 2015 | 25 | |
| 4 | 2000 | 22 | |
| 5 | 1999 | 21 | |
| 6 | Low mutation incidence in polymorphic noncoding short mononucleotide repeats in gastrointestinal cancer of the microsatellite mutator phenotype pathway. | 2002 | 19 |
| 7 | 1998 | 16 | |
| 8 | 2009 | 15 | |
| 9 | 2014 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 1999 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2014 | 0 | |
| 18 | 2016 | 0 |
About Yuichi Dai
Yuichi Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Pathology and Forensic Medicine and Rheumatology, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic factors in colorectal cancer (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (1 paper), Case Reports on Hematomas (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (83 citations), Cancer Research (50 citations), Pulmonary and Respiratory Medicine (74 citations), Molecular Biology (164 citations) and Oncology (50 citations). Yuichi Dai has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Manuel Perucho, Kentaro Yamashita, Fumiichiro Yamamoto, Masayuki Noguchi, Kentaro Mase, Yukio Morishita, Hideyuki Shimazaki, Shinsuke Aida, Sho Ogata and Yuichi Ozeki. Their work appears in journals such as International Journal of Cancer, Clinical Cancer Research, Circulation Journal, Cancer Cell and Cancer Medicine.
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.