Hisahiro Matsubara
- Pulmonary and Respiratory Medicine top 0.2%
- Gastric Cancer Management and Outcomes 125
- Metastasis and carcinoma case studies 31
- Lung Cancer Diagnosis and Treatment 27
- Surgery top 0.2%
- Esophageal Cancer Research and Treatment 156
- Esophageal and GI Pathology 90
- Cancer Research top 0.5%
- Oncology top 0.5%
- Gastroenterology top 1%
- Gastrointestinal Tumor Research and Treatment 34
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- Cancer Research and Treatments 32
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- Radiomics and Machine Learning in Medical Imaging 29
Hisahiro Matsubara
461 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Pulmonary and Respiratory Medicine 4.8k
- Surgery 5.5k
- Cancer Research 1.7k
- Oncology 2.7k
- Gastroenterology 512
Countries citing papers authored by Hisahiro Matsubara
This map shows the geographic impact of Hisahiro 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 Hisahiro Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisahiro Matsubara more than expected).
Fields of papers citing papers by Hisahiro Matsubara
This network shows the impact of papers produced by Hisahiro 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 Hisahiro Matsubara. The network helps show where Hisahiro Matsubara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hisahiro 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 11 | |
| 9 | [A Patient with AFP-Producing Gastric Cancer and Stenosis Who Regained Oral Intake Capabilities after T-DXd Treatment]. | 2023 | 1 |
| 10 | 2020 | 12 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 26 | |
| 17 | 2017 | 13 | |
| 18 | 2013 | 1 | |
| 19 | 2010 | 0 | |
| 20 | 2006 | 73 |
About Hisahiro Matsubara
Hisahiro Matsubara is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Surgery, having authored 506 papers that have together received 12.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (156 papers), Gastric Cancer Management and Outcomes (125 papers), Esophageal and GI Pathology (90 papers), Gastrointestinal Tumor Research and Treatment (34 papers), Cancer Research and Treatments (32 papers), Metastasis and carcinoma case studies (31 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Lung Cancer Diagnosis and Treatment (27 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (4.8k citations), Surgery (5.5k citations) and Cancer Research (1.7k citations). Hisahiro Matsubara has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Takenori Ochiai, Hideaki Shimada, Yasunori Akutsu, Isamu Hoshino, Shinichi Okazumi, Yoshihiro Nabeya, Kiyohiko Shuto, Takashi Uno, Hideki Hayashi and Tsuneo Oyama. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.
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.