Go Masuda
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
Papers in
- Oncology 13
- Cancer Cells and Metastasis 8
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- Fibroblast Growth Factor Research 3
- Co-authors
- Kosei Hirakawa (20 shared papers)Masaichi Ohira (18 shared papers)Masakazu Yashiro (18 shared papers)Hiroaki Kasashima (14 shared papers)Haruhito Kinoshita (12 shared papers)Tamami Morisaki (12 shared papers)Tatsunari Fukuoka (11 shared papers)Katsunobu Sakurai (11 shared papers)
In The Last Decade
Go Masuda
29 papers receiving 630 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 188
- Oncology 215
- Immunology 137
- Molecular Biology 354
- Pulmonary and Respiratory Medicine 114
Countries citing papers authored by Go Masuda
This map shows the geographic impact of Go Masuda'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 Go Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Masuda more than expected).
Fields of papers citing papers by Go Masuda
This network shows the impact of papers produced by Go Masuda. 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 Go Masuda. The network helps show where Go Masuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Masuda, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | Clinicopathological Correlations of Autophagy-related Proteins LC3, Beclin 1 and p62 in Gastric Cancer. | 2016 | 71 |
| 3 | 2018 | 70 | |
| 4 | 2015 | 65 | |
| 5 | 2018 | 46 | |
| 6 | 2016 | 43 | |
| 7 | 2014 | 35 | |
| 8 | 2017 | 33 | |
| 9 | 2015 | 28 | |
| 10 | 2017 | 26 | |
| 11 | 2015 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 17 | |
| 15 | Glasgow Prognostic Score as a Prognostic Clinical Marker in T4 Esophageal Squamous Cell Carcinoma. | 2015 | 15 |
| 16 | 2016 | 10 | |
| 17 | 2019 | 9 | |
| 18 | The role of type D prostanoid receptors and PPARγ in gastric cancer progression. | 2014 | 9 |
| 19 | 2017 | 6 | |
| 20 | 2021 | 4 |
About Go Masuda
Go Masuda is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 35 papers that have together received 632 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Gastric Cancer Management and Outcomes (6 papers), Metastasis and carcinoma case studies (6 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Cancer Research and Treatments (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Cancer Research (188 citations), Oncology (215 citations), Immunology (137 citations), Molecular Biology (354 citations) and Pulmonary and Respiratory Medicine (114 citations). Go Masuda has collaborated with scholars based in Japan and Slovenia. Frequent co-authors include Kosei Hirakawa, Masaichi Ohira, Masakazu Yashiro, Hiroaki Kasashima, Haruhito Kinoshita, Tamami Morisaki, Tatsunari Fukuoka, Katsunobu Sakurai, Naoshi Kubo and Yuichiro Miki. Their work appears in journals such as Cancer Research, British Journal of Cancer, Scientific Reports, Cancer Medicine and PLoS ONE.
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.