Hiroshi Mizushima
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Kaoru MogushiHiroshi TanakaToshiaki IshikawaHiroyuki UetakeKenichi SugiharaSatoru IidaMegumi IshiguroKAZUO OKUNUKI
- Topics
- RNA modifications and cancer (7 papers)Analytical Chemistry and Sensors (5 papers)Platelet Disorders and Treatments (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hiroshi Mizushima
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.2k
- Cancer Research 360
- Oncology 283
- Pulmonary and Respiratory Medicine 197
- Pathology and Forensic Medicine 172
Countries citing papers authored by Hiroshi Mizushima
This map shows the geographic impact of Hiroshi Mizushima'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 Hiroshi Mizushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Mizushima more than expected).
Fields of papers citing papers by Hiroshi Mizushima
This network shows the impact of papers produced by Hiroshi Mizushima. 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 Hiroshi Mizushima. The network helps show where Hiroshi Mizushima may publish in the future.
Co-authorship network of co-authors of Hiroshi Mizushima
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Mizushima. A scholar is included among the top collaborators of Hiroshi Mizushima 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 Hiroshi Mizushima. Hiroshi Mizushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 33 | |
| 3 | 31 | |
| 4 | 59 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 22 | |
| 9 | 87 | |
| 10 | 22 | |
| 11 | Medical Genomics and Bioinformatics | 1 |
| 12 | 132 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 29 | |
| 17 | 76 | |
| 18 | 3 | |
| 19 | STUDIES ON CYTOCHROME C:III. DETERMINATION OF "NATIVE" MAMMALIAN HEART MUSCLE CYTOCHROME C AND ITS PHYSIOLOGICAL PROPERTIES | 11 |
| 20 | STUDIES ON CYTOCHROME C:II. FURTHER STUDY ON PROTEINASE DIGESTION OF BAKER'S YEAST CYTOCHROME C | 8 |
About Hiroshi Mizushima
Hiroshi Mizushima is a scholar working on Structural Biology, Bioengineering and Instrumentation, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Analytical Chemistry and Sensors (5 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Cancer Research (360 citations), Molecular Biology (1.2k citations) and Bioengineering (66 citations). Hiroshi Mizushima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kaoru Mogushi, Hiroshi Tanaka, Toshiaki Ishikawa, Hiroyuki Uetake, Kenichi Sugihara, Satoru Iida, Megumi Ishiguro, KAZUO OKUNUKI, Ichiro Kudo and Keizo Inoue. Their work appears in journals such as Nature, Oncogene and Clinical Cancer Research.
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.