Keitaro Matsuo
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation 50
- Oncology top 0.2%
- Cancer Risks and Factors 50
- Pathology and Forensic Medicine top 0.2%
- Alcohol Consumption and Health Effects 41
- Lymphoma Diagnosis and Treatment 39
- Cancer Research top 0.5%
- Otorhinolaryngology top 0.5%
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- Lung Cancer Treatments and Mutations 65
- Gastric Cancer Management and Outcomes 45
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- Helicobacter pylori-related gastroenterology studies 51
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- Acute Lymphoblastic Leukemia research 40
- Co-authors
- Kazuo TajimaHidemi ItoNobuyuki HamajimaKenji WakaiYasushi YatabeKaoru HiroseTetsuya MitsudomiToshiko Saito
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keitaro Matsuo
717 papers receiving 20.9k citations
Peers
Comparison fields: 5 of 177
- Hematology 2.8k
- Oncology 6.4k
- Pathology and Forensic Medicine 3.2k
- Cancer Research 2.5k
- Otorhinolaryngology 715
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
The 25 scholars most cited alongside Keitaro Matsuo, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2014 | 111 | |
| 14 | 2014 | 35 | |
| 15 | 2011 | 54 | |
| 16 | 2010 | 70 | |
| 17 | 2010 | 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). | 2010 | 9 |
| 19 | 2009 | 54 | |
| 20 | Risk factors for esophageal cancer: a case-control study in South-western China. | 2005 | 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), Cancer Risks and Factors (50 papers), Hematopoietic Stem Cell Transplantation (50 papers), Gastric Cancer Management and Outcomes (45 papers), Alcohol Consumption and Health Effects (41 papers), Acute Lymphoblastic Leukemia research (40 papers) and Lymphoma Diagnosis and Treatment (39 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.