Mitsunori Fujimura
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Ken‐ichi AiharaToshio MatsumotoHiroyuki AzumaMasashi AkaikeYasumasa IkedaShunji HashizumeMidori KatoShigeaki Kato
- Topics
- Atherosclerosis and Cardiovascular Diseases (2 papers)Streptococcal Infections and Treatments (2 papers)Heart Failure Treatment and Management (2 papers)
In The Last Decade
Mitsunori Fujimura
15 papers receiving 529 citations
Peers
Comparison fields: 5 of 79
- Pathology and Forensic Medicine 173
- Cardiology and Cardiovascular Medicine 142
- Molecular Biology 107
- Nutrition and Dietetics 90
- Endocrinology, Diabetes and Metabolism 83
Countries citing papers authored by Mitsunori Fujimura
This map shows the geographic impact of Mitsunori Fujimura'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 Mitsunori Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunori Fujimura more than expected).
Fields of papers citing papers by Mitsunori Fujimura
This network shows the impact of papers produced by Mitsunori Fujimura. 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 Mitsunori Fujimura. The network helps show where Mitsunori Fujimura may publish in the future.
Co-authorship network of co-authors of Mitsunori Fujimura
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Fujimura. A scholar is included among the top collaborators of Mitsunori Fujimura 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 Mitsunori Fujimura. Mitsunori Fujimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 123 | |
| 10 | 17 | |
| 11 | 210 | |
| 12 | 61 | |
| 13 | 5 | |
| 14 | 37 | |
| 15 | 48 | |
| 16 | [Coronary perfusion technic with special reference to experimental and clinical data]. | 0 |
About Mitsunori Fujimura
Mitsunori Fujimura is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Rheumatology, having authored 16 papers that have together received 542 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (2 papers), Streptococcal Infections and Treatments (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (173 citations), Cardiology and Cardiovascular Medicine (142 citations) and Nutrition and Dietetics (90 citations). Mitsunori Fujimura has collaborated with scholars based in Japan and Spain. Frequent co-authors include Ken‐ichi Aihara, Toshio Matsumoto, Hiroyuki Azuma, Masashi Akaike, Yasumasa Ikeda, Shunji Hashizume, Midori Kato, Shigeaki Kato, Tomonori Yoshida and Hiroshi Yamaguchi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Atherosclerosis.
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.