Shigeo Matsuda

4.7k citations
41 papers · 2.9k indexed · 1 hit paper · h-index 26
Topics
DNA and Nucleic Acid Chemistry (31 papers)Advanced biosensing and bioanalysis techniques (29 papers)RNA Interference and Gene Delivery (14 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Shigeo Matsuda

41 papers receiving 2.8k citations

Hit Papers

Maximizing the Potency of siRNA Lipid Nanoparticles for H...20122026201620212012250500750

Peers

Shigeo Matsuda
Comparison fields: 5 of 100
  • Molecular Biology 2.6k
  • Organic Chemistry 341
  • Cancer Research 236
  • Genetics 233
  • Infectious Diseases 198
Replace Timofei S. Zatsepin with:
Timofei S. Zatsepin Russia
Chandra Vargeese United States
Satoshi Obika Japan
Thazha P. Prakash United States
Masad J. Damha Canada
Jens B. Simonsen Denmark
Claude Malvy France
Ryszard Stolarski Poland
Christopher G. Levins United States
Srinivas Ramishetti Israel
Shigeo Matsuda relative to Timofei S. Zatsepin Russia Timofei S. Zatsepin's profile →
Citations per field
00.5×1.5×2.1×
Timofei S. Zatsepin · 1×
Citations per year

Countries citing papers authored by Shigeo Matsuda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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