Yuta Suzuki
- Organic Chemistry top 2%
- Molecular Biology top 10%
- Inorganic Chemistry top 5%
- Immunology
- Infectious Diseases top 10%
- Co-authors
- Hiroshi IshiharaYasutomo SegawaKyoko NozakiMakoto YamashitaMakoto KomiyamaYan XuYasumasa HamadaTetsuhiro Nemoto
- Topics
- RNA Interference and Gene Delivery (16 papers)Advanced biosensing and bioanalysis techniques (13 papers)DNA and Nucleic Acid Chemistry (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- JapanUnited States
In The Last Decade
Yuta Suzuki
46 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Organic Chemistry 1.2k
- Molecular Biology 986
- Inorganic Chemistry 414
- Immunology 130
- Infectious Diseases 128
Countries citing papers authored by Yuta Suzuki
This map shows the geographic impact of Yuta Suzuki'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 Yuta Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Suzuki more than expected).
Fields of papers citing papers by Yuta Suzuki
This network shows the impact of papers produced by Yuta Suzuki. 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 Yuta Suzuki. The network helps show where Yuta Suzuki may publish in the future.
Co-authorship network of co-authors of Yuta Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Suzuki. A scholar is included among the top collaborators of Yuta Suzuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuta Suzuki. Yuta Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | Difference in the lipid nanoparticle technology employed in three approved siRNA (Patisiran) and mRNA (COVID-19 vaccine) drugsbreakdown → | 207 |
| 7 | 17 | |
| 8 | 161 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 52 | |
| 12 | 47 | |
| 13 | 59 | |
| 14 | 16 | |
| 15 | 166 | |
| 16 | 17 | |
| 17 | 154 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 2 |
About Yuta Suzuki
Yuta Suzuki is a scholar working on Organic Chemistry, Cancer Research and Molecular Biology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (16 papers), Advanced biosensing and bioanalysis techniques (13 papers) and DNA and Nucleic Acid Chemistry (10 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Inorganic Chemistry (414 citations) and Molecular Biology (986 citations). Yuta Suzuki has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Ishihara, Yasutomo Segawa, Kyoko Nozaki, Makoto Yamashita, Makoto Komiyama, Yan Xu, Yasumasa Hamada, Tetsuhiro Nemoto, Ryo Yazaki and Masakatsu Shibasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.