Taishi Maeda

466 total citations
7 papers, 390 citations indexed

About

Taishi Maeda is a scholar working on Molecular Biology, Biomaterials and Surfaces, Coatings and Films. According to data from OpenAlex, Taishi Maeda has authored 7 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Surfaces, Coatings and Films. Recurrent topics in Taishi Maeda's work include Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Taishi Maeda is often cited by papers focused on Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Taishi Maeda collaborates with scholars based in Japan and United States. Taishi Maeda's co-authors include Yutaka Mizushima, Haruka Sakamoto, Tohru Mizushima, Tsutomu Ishihara, Hiroshi Kiwada, Tatsuhiro Ishida, Shinichi Uesato, Hiroshi Kuwajima, Mitsuko Takenaga and Yoshinari Okamoto and has published in prestigious journals such as Biomacromolecules, Pharmaceutical Research and European Journal of Medicinal Chemistry.

In The Last Decade

Taishi Maeda

7 papers receiving 385 citations

Peers

Taishi Maeda
Comparison fields: 5 of 62
  • Molecular Biology 213
  • Biomaterials 200
  • Biomedical Engineering 100
  • Pharmaceutical Science 58
  • Organic Chemistry 53
Replace Kentaro Hatanaka with:
Kentaro Hatanaka Japan
Aida Varela-Moreira Netherlands
Kenji Yamamoto Japan
Hao-jui Hsu United States
Hemda Baabur‐Cohen Israel
Chad A. Walden United States
Alessandro Marengo Italy
Juan J. Arroyo‐Crespo Spain
Sara Movassaghian United States
Fengxi Liu China
Kentaro Hatanaka Japan View profile →
Citations per field, relative to Taishi Maeda
Taishi Maeda · 1×
Citations per year, relative to Taishi Maeda
Taishi Maeda · 1×

Countries citing papers authored by Taishi Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Taishi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taishi Maeda

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 127
2 11
3 164
4 33
5 13
6 11
7 31

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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2026