Daisuke Takei
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 8
- Genetics 12
- Inflammatory Bowel Disease 11
- Co-authors
- Sakiko Hiraoka (19 shared papers)Hiroyuki Okada (18 shared papers)Keita Harada (18 shared papers)Toshihiro Inokuchi (15 shared papers)Asuka Nakarai (12 shared papers)Jun Kato (11 shared papers)Shiho Takashima (13 shared papers)Masahiro Takahara (12 shared papers)
- Journals
- BMJ Open (2 papers)Gastroenterology (2 papers)Inflammatory Bowel Diseases (2 papers)Journal of Gastroenterology and Hepatology (2 papers)Journal of Hepato-Biliary-Pancreatic Sciences (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Takei
27 papers receiving 386 citations
Peers
Comparison fields: 5 of 41
- Genetics 265
- Health Informatics 7
- Oncology 60
- Gastroenterology 11
- Hepatology 11
Countries citing papers authored by Daisuke Takei
This map shows the geographic impact of Daisuke Takei'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 Daisuke Takei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Takei more than expected).
Fields of papers citing papers by Daisuke Takei
This network shows the impact of papers produced by Daisuke Takei. 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 Daisuke Takei. The network helps show where Daisuke Takei may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Takei, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2016 | 53 | |
| 3 | 2017 | 31 | |
| 4 | 2022 | 30 | |
| 5 | 2016 | 28 | |
| 6 | 2016 | 23 | |
| 7 | 2014 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2015 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 7 | |
| 16 | 2013 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2020 | 3 |
About Daisuke Takei
Daisuke Takei is a scholar working on Hepatology, Genetics, Oncology, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 394 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Colorectal Cancer Screening and Detection (5 papers), Gastroesophageal reflux and treatments (2 papers), Gastric Cancer Management and Outcomes (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper), AI in cancer detection (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Genetics (265 citations), Health Informatics (7 citations), Oncology (60 citations), Gastroenterology (11 citations) and Hepatology (11 citations). Daisuke Takei has collaborated with scholars based in Japan. Frequent co-authors include Sakiko Hiraoka, Hiroyuki Okada, Keita Harada, Toshihiro Inokuchi, Asuka Nakarai, Jun Kato, Shiho Takashima, Masahiro Takahara, Yuusaku Sugihara and Kazuhide Yamamoto. Their work appears in journals such as BMJ Open, Gastroenterology, Inflammatory Bowel Diseases, Journal of Gastroenterology and Hepatology and Journal of Hepato-Biliary-Pancreatic Sciences.
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.