Masataka Date
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Gastroenterology top 10%
Papers in
-
- TGF-β signaling in diseases 5
- Peroxisome Proliferator-Activated Receptors 4
- Surgery 5
- Eosinophilic Esophagitis 3
- Co-authors
- Koichi Matsuzaki (6 shared papers)Masanori Matsushita (5 shared papers)Kyoichi Inoue (4 shared papers)Yoshiya Tahashi (4 shared papers)Fukiko Furukawa (3 shared papers)Yasushi Sugano (2 shared papers)Kazushige Sakitani (3 shared papers)Yutaka Inagaki (1 shared paper)
- Journals
- Liver International (2 papers)Journal of Hepatology (2 papers)Gut (2 papers)Hepatology (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- JapanSouth KoreaTaiwan
In The Last Decade
Masataka Date
22 papers receiving 710 citations
Peers
Comparison fields: 5 of 75
- Hepatology 267
- Gastroenterology 41
- Oncology 176
- Molecular Biology 386
- Epidemiology 171
Countries citing papers authored by Masataka Date
This map shows the geographic impact of Masataka Date'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 Masataka Date with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Date more than expected).
Fields of papers citing papers by Masataka Date
This network shows the impact of papers produced by Masataka Date. 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 Masataka Date. The network helps show where Masataka Date may publish in the future.
Co-authors
The 25 scholars most cited alongside Masataka Date, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 159 | |
| 2 | Autocrine stimulatory mechanism by transforming growth factor beta in human hepatocellular carcinoma. | 2000 | 79 |
| 3 | 1999 | 66 | |
| 4 | 2000 | 47 | |
| 5 | 2000 | 45 | |
| 6 | 2013 | 44 | |
| 7 | 2000 | 44 | |
| 8 | 2012 | 38 | |
| 9 | 1998 | 35 | |
| 10 | 2004 | 23 | |
| 11 | 2010 | 23 | |
| 12 | 2003 | 18 | |
| 13 | 2005 | 17 | |
| 14 | 2004 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2003 | 12 | |
| 17 | 2003 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2011 | 8 | |
| 20 | 2004 | 6 |
About Masataka Date
Masataka Date is a scholar working on Molecular Biology, Surgery, Oncology, Hepatology and Cancer Research, having authored 22 papers that have together received 717 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Liver physiology and pathology (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Inflammatory mediators and NSAID effects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Eosinophilic Esophagitis (3 papers), NF-κB Signaling Pathways (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Hepatology (267 citations), Gastroenterology (41 citations), Oncology (176 citations), Molecular Biology (386 citations) and Epidemiology (171 citations). Masataka Date has collaborated with scholars based in Japan, South Korea and Taiwan. Frequent co-authors include Koichi Matsuzaki, Masanori Matsushita, Kyoichi Inoue, Yoshiya Tahashi, Fukiko Furukawa, Yasushi Sugano, Kazushige Sakitani, Yutaka Inagaki, Toshihito Seki and Katsunori Yoshida. Their work appears in journals such as Liver International, Journal of Hepatology, Gut, Hepatology and British Journal of Cancer.
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.