Mitsuhiro Kudo
Impact in
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- Cardiac Ischemia and Reperfusion
- Developmental Neuroscience top 10%
Papers in
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- Fibroblast Growth Factor Research 5
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- Magnetic Properties and Applications 8
- Co-authors
- Zenya Naito (31 shared papers)Toshiyuki Ishiwata (10 shared papers)Yigang Wang (3 shared papers)Kazuo Shiiki (11 shared papers)Ahmar Ayub (2 shared papers)Y. Shiroishi (7 shared papers)Meifeng Xu (2 shared papers)Munehiro Yokoyama (6 shared papers)
- Journals
- IEEE Transactions on Magnetics (7 papers)Journal of Applied Physics (7 papers)International Journal of Oncology (7 papers)Japanese Journal of Applied Physics (5 papers)Experimental and Molecular Pathology (5 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Mitsuhiro Kudo
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Pathology and Forensic Medicine 229
- Developmental Neuroscience 51
- Cancer Research 167
- Genetics 117
- Emergency Medicine 81
Countries citing papers authored by Mitsuhiro Kudo
This map shows the geographic impact of Mitsuhiro Kudo'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 Mitsuhiro Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Kudo more than expected).
Fields of papers citing papers by Mitsuhiro Kudo
This network shows the impact of papers produced by Mitsuhiro Kudo. 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 Mitsuhiro Kudo. The network helps show where Mitsuhiro Kudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Kudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 135 | |
| 2 | 1984 | 94 | |
| 3 | 2001 | 85 | |
| 4 | 2005 | 74 | |
| 5 | 1997 | 57 | |
| 6 | 2003 | 53 | |
| 7 | 2016 | 44 | |
| 8 | 2002 | 42 | |
| 9 | 2000 | 41 | |
| 10 | 2004 | 41 | |
| 11 | 2019 | 40 | |
| 12 | 2016 | 37 | |
| 13 | 2000 | 36 | |
| 14 | 1982 | 31 | |
| 15 | 2018 | 30 | |
| 16 | 2004 | 28 | |
| 17 | 2006 | 28 | |
| 18 | 1999 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2019 | 22 |
About Mitsuhiro Kudo
Mitsuhiro Kudo is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Cancer Research and Condensed Matter Physics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (9 papers), Superconducting Materials and Applications (9 papers), Magnetic Properties and Applications (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Magnetic properties of thin films (5 papers), Superconductivity in MgB2 and Alloys (5 papers), Fibroblast Growth Factor Research (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (229 citations), Developmental Neuroscience (51 citations), Cancer Research (167 citations), Genetics (117 citations) and Emergency Medicine (81 citations). Mitsuhiro Kudo has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Zenya Naito, Toshiyuki Ishiwata, Yigang Wang, Kazuo Shiiki, Ahmar Ayub, Y. Shiroishi, Meifeng Xu, Munehiro Yokoyama, Gorô Asano and Wei‐Xia Peng. Their work appears in journals such as IEEE Transactions on Magnetics, Journal of Applied Physics, International Journal of Oncology, Japanese Journal of Applied Physics and Experimental and Molecular Pathology.
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.