Keitaro Matsuo
- Oncology top 0.2%
- Molecular Biology top 1%
- Pulmonary and Respiratory Medicine top 0.2%
- Surgery top 0.5%
- Pathology and Forensic Medicine top 0.2%
- Co-authors
- Kazuo TajimaHidemi ItoNobuyuki HamajimaKenji WakaiYasushi YatabeKaoru HiroseTetsuya MitsudomiToshiko Saito
- Topics
- Lung Cancer Treatments and Mutations (65 papers)Helicobacter pylori-related gastroenterology studies (51 papers)Cancer Risks and Factors (50 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keitaro Matsuo
717 papers receiving 20.9k citations
Peers
Comparison fields: 5 of 177
- Oncology 6.4k
- Molecular Biology 5.5k
- Pulmonary and Respiratory Medicine 4.3k
- Surgery 4.0k
- Pathology and Forensic Medicine 3.2k
Countries citing papers authored by Keitaro Matsuo
This map shows the geographic impact of Keitaro Matsuo'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 Keitaro Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keitaro Matsuo more than expected).
Fields of papers citing papers by Keitaro Matsuo
This network shows the impact of papers produced by Keitaro Matsuo. 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 Keitaro Matsuo. The network helps show where Keitaro Matsuo may publish in the future.
Co-authorship network of co-authors of Keitaro Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Keitaro Matsuo. A scholar is included among the top collaborators of Keitaro Matsuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keitaro Matsuo. Keitaro Matsuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 111 | |
| 14 | 35 | |
| 15 | 54 | |
| 16 | 70 | |
| 17 | 31 | |
| 18 | Concomitant expression of HER2 and HIF-1alpha is a predictor of poor prognosis in uterine cervical carcinoma treated with concurrent chemoradiotherapy: prospective analysis (KGROG0501). | 9 |
| 19 | 54 | |
| 20 | Risk factors for esophageal cancer: a case-control study in South-western China. | 77 |
About Keitaro Matsuo
Keitaro Matsuo is a scholar working on Oncology, Hematology and Pathology and Forensic Medicine, having authored 736 papers that have together received 21.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (65 papers), Helicobacter pylori-related gastroenterology studies (51 papers) and Cancer Risks and Factors (50 papers). The work is most often cited by research in Hematology (2.8k citations), Oncology (6.4k citations) and Pathology and Forensic Medicine (3.2k citations). Keitaro Matsuo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuo Tajima, Hidemi Ito, Nobuyuki Hamajima, Kenji Wakai, Yasushi Yatabe, Kaoru Hirose, Tetsuya Mitsudomi, Toshiko Saito, Hideo Tanaka and Katsuyuki Kiura. Their work appears in journals such as Circulation, Nature Communications and Nature Genetics.
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.