Yoshie Maitani
- Molecular Biology top 2%
- Biomaterials top 0.2%
- Pharmaceutical Science top 0.1%
- Biomedical Engineering top 2%
- Organic Chemistry top 5%
- Co-authors
- Yoshiyuki HattoriK. KawanoTsuneji NagaiXian QiKozo TakayamaPraneet OpanasopitM. YokoyamaMasayuki Yokoyama
- Topics
- RNA Interference and Gene Delivery (60 papers)Nanoparticle-Based Drug Delivery (45 papers)Advanced biosensing and bioanalysis techniques (35 papers)
- Journals
- Clinical Cancer ResearchInternational Journal of Molecular SciencesJournal of Controlled Release
- Partner nations
- JapanChinaUnited States
In The Last Decade
Yoshie Maitani
189 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.9k
- Biomaterials 2.2k
- Pharmaceutical Science 1.3k
- Biomedical Engineering 1.1k
- Organic Chemistry 658
Countries citing papers authored by Yoshie Maitani
This map shows the geographic impact of Yoshie Maitani'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 Yoshie Maitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshie Maitani more than expected).
Fields of papers citing papers by Yoshie Maitani
This network shows the impact of papers produced by Yoshie Maitani. 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 Yoshie Maitani. The network helps show where Yoshie Maitani may publish in the future.
Co-authorship network of co-authors of Yoshie Maitani
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshie Maitani. A scholar is included among the top collaborators of Yoshie Maitani 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 Yoshie Maitani. Yoshie Maitani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 43 | |
| 3 | 116 | |
| 4 | 22 | |
| 5 | 23 | |
| 6 | 101 | |
| 7 | 15 | |
| 8 | 116 | |
| 9 | 86 | |
| 10 | 48 | |
| 11 | 91 | |
| 12 | 17 | |
| 13 | 36 | |
| 14 | 49 | |
| 15 | 35 | |
| 16 | 4 | |
| 17 | Physicochemical Characteristics and Transfection Efficiency of DNA in Liposomes with Soybean-Derived Sterylglucoside into HepG2 Cells | 5 |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 15 |
About Yoshie Maitani
Yoshie Maitani is a scholar working on Pharmaceutical Science, Biomaterials and Molecular Biology, having authored 190 papers that have together received 5.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (60 papers), Nanoparticle-Based Drug Delivery (45 papers) and Advanced biosensing and bioanalysis techniques (35 papers). The work is most often cited by research in Pharmaceutical Science (1.3k citations), Biomaterials (2.2k citations) and Molecular Biology (2.9k citations). Yoshie Maitani has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshiyuki Hattori, K. Kawano, Tsuneji Nagai, Xian Qi, Kozo Takayama, Praneet Opanasopit, M. Yokoyama, Masayuki Yokoyama, Teruo Okano and Kouichi Shiraishi. Their work appears in journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Journal of Controlled Release.
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.