Mitsuhiro Goda
Impact in
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- Neuropeptides and Animal Physiology
- Nerve injury and regeneration
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- Cancer Immunotherapy and Biomarkers
Papers in
- Surgery 20
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 14
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- Neuropeptides and Animal Physiology 15
- Nerve injury and regeneration 8
- Co-authors
- Yoshito Zamami (63 shared papers)Keisuke Ishizawa (56 shared papers)Hiromu Kawasaki (21 shared papers)Shingo Takatori (16 shared papers)Masayuki Chuma (28 shared papers)Narumi Hobara (12 shared papers)Kenta Yagi (43 shared papers)Takahiro Niimura (44 shared papers)
In The Last Decade
Mitsuhiro Goda
82 papers receiving 928 citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 128
- Oncology 172
- Toxicology 21
- Insect Science 67
- Nephrology 30
Countries citing papers authored by Mitsuhiro Goda
This map shows the geographic impact of Mitsuhiro Goda'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 Goda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Goda more than expected).
Fields of papers citing papers by Mitsuhiro Goda
This network shows the impact of papers produced by Mitsuhiro Goda. 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 Goda. The network helps show where Mitsuhiro Goda may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Goda, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2008 | 71 | |
| 3 | 2020 | 51 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 34 | |
| 6 | 2016 | 30 | |
| 7 | 2005 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2007 | 27 | |
| 10 | 2006 | 25 | |
| 11 | 2010 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2010 | 20 | |
| 14 | 2007 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2022 | 15 |
About Mitsuhiro Goda
Mitsuhiro Goda is a scholar working on Surgery, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 97 papers that have together received 946 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers), Nerve injury and regeneration (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Pharmacological Effects and Toxicity Studies (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Chemotherapy-induced organ toxicity mitigation (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (128 citations), Oncology (172 citations), Toxicology (21 citations), Insect Science (67 citations) and Nephrology (30 citations). Mitsuhiro Goda has collaborated with scholars based in Japan, Thailand and Taiwan. Frequent co-authors include Yoshito Zamami, Keisuke Ishizawa, Hiromu Kawasaki, Shingo Takatori, Masayuki Chuma, Narumi Hobara, Kenta Yagi, Takahiro Niimura, Naoto Okada and Hirofumi Hamano. Their work appears in journals such as Journal of Pharmacological Sciences, Biological and Pharmaceutical Bulletin, Frontiers in Pharmacology, Biomedicine & Pharmacotherapy and European Journal of Pharmacology.
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.