Toru Maekawa
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 15
- Electrospun Nanofibers in Biomedical Applications 10
- Materials Chemistry top 2%
- Quantum Dots Synthesis And Properties 14
- Nanoparticles: synthesis and applications 6
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics 11
- Pharmaceutical Science top 5%
- Molecular Medicine top 5%
-
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 7
-
- Gold and Silver Nanoparticles Synthesis and Applications 6
- Co-authors
- D. Sakthi KumarRemya NairSaino Hanna VargheseBaiju G. NairYuko YoshidaYasuhiko YoshidaYutaka NagaokaMasaru Tachibana
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Toru Maekawa
59 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Biomaterials 846
- Materials Chemistry 1.7k
- Biomedical Engineering 1.1k
- Pharmaceutical Science 132
- Molecular Medicine 103
Countries citing papers authored by Toru Maekawa
This map shows the geographic impact of Toru Maekawa'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 Toru Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Maekawa more than expected).
Fields of papers citing papers by Toru Maekawa
This network shows the impact of papers produced by Toru Maekawa. 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 Toru Maekawa. The network helps show where Toru Maekawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toru Maekawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 11 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 44 | |
| 4 | 2020 | 101 | |
| 5 | 2020 | 14 | |
| 6 | Synthesis and characterization of Mono-disperse Carbon Quantum Dots from Fennel Seeds: Photoluminescence analysis using Machine Learningbreakdown → | 2019 | 387 |
| 7 | 2018 | 38 | |
| 8 | 2017 | 41 | |
| 9 | 2016 | 55 | |
| 10 | 2015 | 10 | |
| 11 | 2015 | 42 | |
| 12 | 2013 | 78 | |
| 13 | 2012 | 155 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 66 | |
| 16 | 2012 | 28 | |
| 17 | 2012 | 34 | |
| 18 | 2012 | 35 | |
| 19 | 2012 | 71 | |
| 20 | 2011 | 43 |
About Toru Maekawa
Toru Maekawa is a scholar working on Biomaterials, Molecular Medicine and Structural Biology, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (15 papers), Quantum Dots Synthesis And Properties (14 papers), Nanoplatforms for cancer theranostics (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Nanoparticles: synthesis and applications (6 papers). The work is most often cited by research in Biomaterials (846 citations), Materials Chemistry (1.7k citations) and Biomedical Engineering (1.1k citations). Toru Maekawa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include D. Sakthi Kumar, Remya Nair, Saino Hanna Varghese, Baiju G. Nair, Yuko Yoshida, Yasuhiko Yoshida, Yutaka Nagaoka, Masaru Tachibana, Takashi Uchida and M. Sheikh Mohamed. Their work appears in journals such as Advanced Functional Materials, Langmuir and Scientific Reports.
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.