Daisuke Matsubara
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
Papers in
-
- Cancer-related gene regulation 13
- Chromatin Remodeling and Cancer 6
- Epigenetics and DNA Methylation 5
- Oncology 17
- Cancer Cells and Metastasis 5
- Co-authors
- Toshiro Niki (35 shared papers)Masashi Fukayama (18 shared papers)Hiroyuki Aburatani (8 shared papers)Shumpei Ishikawa (10 shared papers)Yoshinori Murakami (15 shared papers)Akiteru Goto (8 shared papers)Sachiko Oguni (6 shared papers)Shunsuke Endo (9 shared papers)
- Journals
- Cancer Science (14 papers)Pathology International (7 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Medicine (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Matsubara
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Oncology 306
- Cancer Research 155
- Hepatology 72
- Molecular Biology 678
- Pathology and Forensic Medicine 143
Countries citing papers authored by Daisuke Matsubara
This map shows the geographic impact of Daisuke Matsubara'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 Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Matsubara more than expected).
Fields of papers citing papers by Daisuke Matsubara
This network shows the impact of papers produced by Daisuke Matsubara. 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 Matsubara. The network helps show where Daisuke Matsubara may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Matsubara, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 104 | |
| 2 | 2011 | 75 | |
| 3 | 2012 | 72 | |
| 4 | 2014 | 69 | |
| 5 | 2016 | 67 | |
| 6 | 2005 | 65 | |
| 7 | 2015 | 52 | |
| 8 | 2007 | 47 | |
| 9 | 2005 | 41 | |
| 10 | 2015 | 40 | |
| 11 | 2010 | 38 | |
| 12 | 2010 | 37 | |
| 13 | 2016 | 36 | |
| 14 | 2010 | 35 | |
| 15 | 2006 | 33 | |
| 16 | 2013 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2019 | 24 |
About Daisuke Matsubara
Daisuke Matsubara is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Computer Networks and Communications, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related gene regulation (13 papers), Neuroendocrine Tumor Research Advances (6 papers), Chromatin Remodeling and Cancer (6 papers), Caching and Content Delivery (6 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Oncology (306 citations), Cancer Research (155 citations), Hepatology (72 citations), Molecular Biology (678 citations) and Pathology and Forensic Medicine (143 citations). Daisuke Matsubara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshiro Niki, Masashi Fukayama, Hiroyuki Aburatani, Shumpei Ishikawa, Yoshinori Murakami, Akiteru Goto, Sachiko Oguni, Shunsuke Endo, Tomoko Tamura and Taichiro Yoshimoto. Their work appears in journals such as Cancer Science, Pathology International, Scientific Reports, Biochemical and Biophysical Research Communications 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.