Mitsuhiro Hirode
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
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- Computational Drug Discovery Methods
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Genomics, phytochemicals, and oxidative stress 2
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- Drug-Induced Hepatotoxicity and Protection 5
- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Toshikazu Miyagishima (9 shared papers)Atsushi Ono (9 shared papers)Tetsuro Urushidani (9 shared papers)Takeki Uehara (8 shared papers)Ko Omura (7 shared papers)Naoki Kiyosawa (7 shared papers)Taku Nagao (6 shared papers)Yumiko Mizukawa (5 shared papers)
- Journals
- Human & Experimental Toxicology (2 papers)Journal of Neuroscience (1 paper)Toxicology and Applied Pharmacology (1 paper)Toxicology (1 paper)The Journal of Toxicological Sciences (6 papers)
- Partner nations
- Japan
In The Last Decade
Mitsuhiro Hirode
11 papers receiving 406 citations
Peers
Comparison fields: 5 of 64
- Pharmacology 80
- Computational Theory and Mathematics 125
- Cancer Research 63
- Physiology 103
- Hepatology 25
Countries citing papers authored by Mitsuhiro Hirode
This map shows the geographic impact of Mitsuhiro Hirode'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 Hirode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Hirode more than expected).
Fields of papers citing papers by Mitsuhiro Hirode
This network shows the impact of papers produced by Mitsuhiro Hirode. 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 Hirode. The network helps show where Mitsuhiro Hirode may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Hirode, 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 | 2010 | 112 | |
| 2 | 2008 | 89 | |
| 3 | 2008 | 46 | |
| 4 | 2008 | 35 | |
| 5 | 2008 | 26 | |
| 6 | 2009 | 26 | |
| 7 | 2007 | 25 | |
| 8 | 2006 | 24 | |
| 9 | 2009 | 12 | |
| 10 | 2007 | 11 | |
| 11 | 2000 | 9 |
About Mitsuhiro Hirode
Mitsuhiro Hirode is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Cancer Research and Epidemiology, having authored 11 papers that have together received 415 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Computational Drug Discovery Methods (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pharmacology (80 citations), Computational Theory and Mathematics (125 citations), Cancer Research (63 citations), Physiology (103 citations) and Hepatology (25 citations). Mitsuhiro Hirode has collaborated with scholars based in Japan. Frequent co-authors include Toshikazu Miyagishima, Atsushi Ono, Tetsuro Urushidani, Takeki Uehara, Ko Omura, Naoki Kiyosawa, Taku Nagao, Yumiko Mizukawa, Toshinobu Shimizu and Y Ohno. Their work appears in journals such as Human & Experimental Toxicology, Journal of Neuroscience, Toxicology and Applied Pharmacology, Toxicology and The Journal of Toxicological Sciences.
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.