Go Masuda
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
- Chemokine receptors and signaling
Papers in
- Oncology 10
- Cancer Cells and Metastasis 5
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Kosei Hirakawa (18 shared papers)Masaichi Ohira (17 shared papers)Masakazu Yashiro (16 shared papers)Hiroaki Kasashima (12 shared papers)Haruhito Kinoshita (10 shared papers)Tamami Morisaki (10 shared papers)Tatsunari Fukuoka (9 shared papers)Naoshi Kubo (10 shared papers)
- Journals
- Cancer Medicine (2 papers)Scientific Reports (2 papers)British Journal of Cancer (2 papers)PLoS ONE (2 papers)Cancer Science (1 paper)
- Partner nations
- Japan
In The Last Decade
Go Masuda
26 papers receiving 656 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 167
- Oncology 198
- Immunology 115
- Molecular Biology 341
- Immunology and Allergy 20
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinicopathological Correlations of Autophagy-related Proteins LC3, Beclin 1 and p62 in Gastric Cancer. | 2016 | 73 |
| 2 | 2014 | 72 | |
| 3 | 2018 | 72 | |
| 4 | 2015 | 70 | |
| 5 | 2018 | 49 | |
| 6 | 2016 | 46 | |
| 7 | 2014 | 40 | |
| 8 | 2017 | 34 | |
| 9 | 2015 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2021 | 26 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 19 | |
| 14 | 2021 | 18 | |
| 15 | Glasgow Prognostic Score as a Prognostic Clinical Marker in T4 Esophageal Squamous Cell Carcinoma. | 2015 | 15 |
| 16 | 2016 | 10 | |
| 17 | The role of type D prostanoid receptors and PPARγ in gastric cancer progression. | 2014 | 9 |
| 18 | 2019 | 9 | |
| 19 | 2017 | 6 | |
| 20 | 2021 | 5 |
About Go Masuda
Go Masuda is a scholar working on Oncology, Cancer Research, Gastroenterology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 33 papers that have together received 660 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Gastric Cancer Management and Outcomes (4 papers), Metastasis and carcinoma case studies (4 papers), Fibroblast Growth Factor Research (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Microbial metabolism and enzyme function (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (167 citations), Oncology (198 citations), Immunology (115 citations), Molecular Biology (341 citations) and Immunology and Allergy (20 citations). Go Masuda has collaborated with scholars based in Japan. Frequent co-authors include Kosei Hirakawa, Masaichi Ohira, Masakazu Yashiro, Hiroaki Kasashima, Haruhito Kinoshita, Tamami Morisaki, Tatsunari Fukuoka, Naoshi Kubo, Katsunobu Sakurai and Yuichiro Miki. Their work appears in journals such as Cancer Medicine, Scientific Reports, British Journal of Cancer, PLoS ONE and Cancer Science.
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.