Noriyuki Maeda

21 total papers · 813 total citations
20 papers, 673 citations indexed

About

Noriyuki Maeda is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Noriyuki Maeda has authored 20 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Biomaterials and 6 papers in Biomedical Engineering. Recurrent topics in Noriyuki Maeda's work include Nanoparticle-Based Drug Delivery (12 papers), RNA Interference and Gene Delivery (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Noriyuki Maeda is often cited by papers focused on Nanoparticle-Based Drug Delivery (12 papers), RNA Interference and Gene Delivery (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Noriyuki Maeda collaborates with scholars based in Japan, United States and Australia. Noriyuki Maeda's co-authors include Naoto Oku, Tomohiro Asai, Yukihiro Namba, Yoshito Takeuchi, Yasufumi Katanasaka, Miki Takada, Kosuke Shimizu, Yasuyuki Sadzuka, Hiroyuki Koide and Takehisa Dewa and has published in prestigious journals such as PLoS ONE, Journal of Controlled Release and International Journal of Cancer.

In The Last Decade

Noriyuki Maeda

20 papers receiving 665 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noriyuki Maeda 442 289 238 93 90 20 673
Birgitta Sauer 378 0.9× 370 1.3× 237 1.0× 73 0.8× 74 0.8× 10 682
Young-Eun Seo 353 0.8× 341 1.2× 249 1.0× 66 0.7× 48 0.5× 20 785
Beom Suk Lee 272 0.6× 272 0.9× 246 1.0× 45 0.5× 49 0.5× 21 646
Luwen Zhu 264 0.6× 157 0.5× 274 1.2× 70 0.8× 98 1.1× 18 660
Melissa D. Howard 273 0.6× 310 1.1× 200 0.8× 43 0.5× 95 1.1× 13 763
Xupeng Mu 372 0.8× 223 0.8× 306 1.3× 61 0.7× 54 0.6× 37 681
Di Jing 318 0.7× 267 0.9× 333 1.4× 111 1.2× 148 1.6× 34 766
Minglu Zhou 271 0.6× 164 0.6× 255 1.1× 96 1.0× 53 0.6× 29 593
Prajna Mishra 365 0.8× 167 0.6× 130 0.5× 114 1.2× 61 0.7× 14 692
Julio M. Rios De La Rosa 272 0.6× 230 0.8× 210 0.9× 45 0.5× 42 0.5× 12 640

Countries citing papers authored by Noriyuki Maeda

Since Specialization
Citations

This map shows the geographic impact of Noriyuki Maeda'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 Noriyuki Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyuki Maeda more than expected).

Fields of papers citing papers by Noriyuki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noriyuki Maeda. 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 Noriyuki Maeda. The network helps show where Noriyuki Maeda may publish in the future.

Co-authorship network of co-authors of Noriyuki Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Maeda. A scholar is included among the top collaborators of Noriyuki Maeda 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 Noriyuki Maeda. Noriyuki Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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