Shungo Imai
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions 15
- Health Informatics top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 13
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy 11
- Pharmacy and Medical Practices 9
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- Pharmaceutical Practices and Patient Outcomes 8
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- Acute Kidney Injury Research 6
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- Bacterial Identification and Susceptibility Testing 5
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- Statistical Methods in Clinical Trials 4
- Co-authors
- Yoh TakekumaMitsuru SugawaraTakayuki MiyaiHitoshi KashiwagiKen IsekiTakehiro YamadaMasaki KobayashiYuki Sato
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Shungo Imai
80 papers receiving 475 citations
Peers
Comparison fields: 5 of 104
- Toxicology 57
- Health Informatics 15
- Applied Microbiology and Biotechnology 19
- Infectious Diseases 122
- Pharmacology 110
Countries citing papers authored by Shungo Imai
This map shows the geographic impact of Shungo Imai'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 Shungo Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shungo Imai more than expected).
Fields of papers citing papers by Shungo Imai
This network shows the impact of papers produced by Shungo Imai. 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 Shungo Imai. The network helps show where Shungo Imai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shungo Imai, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 25 | |
| 20 | 2017 | 39 |
About Shungo Imai
Shungo Imai is a scholar working on Toxicology, Geriatrics and Gerontology and Pharmacology, having authored 89 papers that have together received 478 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Pharmacy and Medical Practices (9 papers), Pharmaceutical Practices and Patient Outcomes (8 papers), Acute Kidney Injury Research (6 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Toxicology (57 citations), Health Informatics (15 citations) and Applied Microbiology and Biotechnology (19 citations). Shungo Imai has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Yoh Takekuma, Mitsuru Sugawara, Takayuki Miyai, Hitoshi Kashiwagi, Ken Iseki, Takehiro Yamada, Masaki Kobayashi, Yuki Sato, Satoko Hori and Kenji Momo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.