Keishi Suga
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials 12
- Pharmaceutical Science top 5%
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 55
- RNA Interference and Gene Delivery 19
- Advanced biosensing and bioanalysis techniques 13
- Filtration and Separation top 5%
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography 11
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- Surfactants and Colloidal Systems 11
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- Medical Imaging Techniques and Applications 10
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- Photonic Crystals and Applications 9
- Co-authors
- Hiroshi UmakoshiYukihiro OkamotoNozomi Morishita WatanabeNaofumi MatsunagaG. Van DedemToshinori ShimanouchiMurray Moo‐YoungYasuo Narumi
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Analytical Chemistry (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Keishi Suga
150 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Biomaterials 248
- Pharmaceutical Science 81
- Molecular Biology 879
- Filtration and Separation 26
- Spectroscopy 199
Countries citing papers authored by Keishi Suga
This map shows the geographic impact of Keishi Suga'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 Keishi Suga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keishi Suga more than expected).
Fields of papers citing papers by Keishi Suga
This network shows the impact of papers produced by Keishi Suga. 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 Keishi Suga. The network helps show where Keishi Suga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keishi Suga, 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 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 10 | |
| 16 | 2017 | 13 | |
| 17 | 2017 | 5 | |
| 18 | 2012 | 1 | |
| 19 | 2009 | 4 | |
| 20 | [The assessment of 99mTc-HMPAO tumor scintigraphy using VX-2 tumors in rabbits]. | 1991 | 1 |
About Keishi Suga
Keishi Suga is a scholar working on Biomaterials, Filtration and Separation and Spectroscopy, having authored 158 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (55 papers), RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (13 papers), Supramolecular Self-Assembly in Materials (12 papers), Surfactants and Colloidal Systems (11 papers), Analytical Chemistry and Chromatography (11 papers), Medical Imaging Techniques and Applications (10 papers) and Photonic Crystals and Applications (9 papers). The work is most often cited by research in Biomaterials (248 citations), Pharmaceutical Science (81 citations) and Molecular Biology (879 citations). Keishi Suga has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hiroshi Umakoshi, Yukihiro Okamoto, Nozomi Morishita Watanabe, Naofumi Matsunaga, G. Van Dedem, Toshinori Shimanouchi, Murray Moo‐Young, Yasuo Narumi, Tonya L. Kuhl and Koichi Kindo. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.