Masako Mitsumata
- Molecular Biology top 10%
- Surgery top 10%
- Cancer Research top 5%
- Oncology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Yoji YoshidaToshiyuki SasaguriYoshiaki KusumiTetsu YamaneSatoshi IwasaKyoko OkadaXin JinHirotaka Watada
- Topics
- Protease and Inhibitor Mechanisms (12 papers)Atherosclerosis and Cardiovascular Diseases (12 papers)Coronary Interventions and Diagnostics (8 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Masako Mitsumata
63 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 925
- Surgery 471
- Cancer Research 415
- Oncology 392
- Cardiology and Cardiovascular Medicine 336
Countries citing papers authored by Masako Mitsumata
This map shows the geographic impact of Masako Mitsumata'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 Masako Mitsumata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Mitsumata more than expected).
Fields of papers citing papers by Masako Mitsumata
This network shows the impact of papers produced by Masako Mitsumata. 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 Masako Mitsumata. The network helps show where Masako Mitsumata may publish in the future.
Co-authorship network of co-authors of Masako Mitsumata
This figure shows the co-authorship network connecting the top 25 collaborators of Masako Mitsumata. A scholar is included among the top collaborators of Masako Mitsumata 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 Masako Mitsumata. Masako Mitsumata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 43 | |
| 3 | 15 | |
| 4 | 31 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 39 | |
| 12 | 0 | |
| 13 | 60 | |
| 14 | 85 | |
| 15 | Expression patterns of seprase, a membrane serine protease, in cervical carcinoma and cervical intraepithelial neoplasm. | 33 |
| 16 | 21 | |
| 17 | 36 | |
| 18 | 5 | |
| 19 | 30 | |
| 20 | Structural Differences of Arterial Walls Which are Either Vulnerable or Resistant to Atherosclerosis | 7 |
About Masako Mitsumata
Masako Mitsumata is a scholar working on Immunology and Allergy, Cancer Research and Genetics, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Atherosclerosis and Cardiovascular Diseases (12 papers) and Coronary Interventions and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (415 citations), Immunology and Allergy (135 citations) and Ophthalmology (188 citations). Masako Mitsumata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoji Yoshida, Toshiyuki Sasaguri, Yoshiaki Kusumi, Tetsu Yamane, Satoshi Iwasa, Kyoko Okada, Xin Jin, Hirotaka Watada, Kosuke Azuma and Akishi Ooi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.
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.