Shigeo Matsuda
- Molecular Biology top 2%
- Organic Chemistry top 5%
- Cancer Research top 10%
- Genetics top 10%
- Infectious Diseases top 10%
- Co-authors
- Floyd E. RomesbergMartin A. MaierMuthiah ManoharanKallanthottathil G. RajeevAaron M. LeconteAkin AkincSteven M. AnsellIsmail M. Hafez
- Topics
- DNA and Nucleic Acid Chemistry (31 papers)Advanced biosensing and bioanalysis techniques (29 papers)RNA Interference and Gene Delivery (14 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- United StatesJapanCanada
In The Last Decade
Shigeo Matsuda
41 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.6k
- Organic Chemistry 341
- Cancer Research 236
- Genetics 233
- Infectious Diseases 198
Countries citing papers authored by Shigeo Matsuda
This map shows the geographic impact of Shigeo Matsuda'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 Shigeo Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeo Matsuda more than expected).
Fields of papers citing papers by Shigeo Matsuda
This network shows the impact of papers produced by Shigeo Matsuda. 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 Shigeo Matsuda. The network helps show where Shigeo Matsuda may publish in the future.
Co-authorship network of co-authors of Shigeo Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeo Matsuda. A scholar is included among the top collaborators of Shigeo Matsuda 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 Shigeo Matsuda. Shigeo Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 6 | |
| 3 | 15 | |
| 4 | 19 | |
| 5 | 55 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 37 | |
| 9 | 69 | |
| 10 | 11 | |
| 11 | Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**breakdown → | 973 |
| 12 | 122 | |
| 13 | 11 | |
| 14 | 79 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 24 | |
| 18 | 17 | |
| 19 | 67 | |
| 20 | 1 |
About Shigeo Matsuda
Shigeo Matsuda is a scholar working on Molecular Biology, Cancer Research and Ecology, having authored 41 papers that have together received 2.9k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (31 papers), Advanced biosensing and bioanalysis techniques (29 papers) and RNA Interference and Gene Delivery (14 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (236 citations) and Organic Chemistry (341 citations). Shigeo Matsuda has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Floyd E. Romesberg, Martin A. Maier, Muthiah Manoharan, Kallanthottathil G. Rajeev, Aaron M. Leconte, Akin Akinc, Steven M. Ansell, Ismail M. Hafez, Muthusamy Jayaraman and Ying K. Tam. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research 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.