Toru Maekawa

4.6k citations
59 papers · 3.4k indexed · 2 hit papers · h-index 29
Topics
Nanoparticle-Based Drug Delivery (15 papers)Quantum Dots Synthesis And Properties (14 papers)Nanoplatforms for cancer theranostics (11 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Toru Maekawa

59 papers receiving 3.3k citations

Hit Papers

Nanoparticulate material delivery to plants2010202620152020201020192505007501000

Peers

Toru Maekawa
Comparison fields: 5 of 130
  • Materials Chemistry 1.7k
  • Biomedical Engineering 1.1k
  • Biomaterials 846
  • Molecular Biology 643
  • Plant Science 497
Replace Denise Wingett with:
Denise Wingett United States
Xiang Zhao China
Diannan Lu China
Zhanghua Zeng China
Rabia Javed Pakistan
Hemant Kumar Daima India
Neenu Singh United Kingdom
Richard C. Murdock United States
Li Zhou China
Shaukat Khan South Korea
Toru Maekawa relative to Denise Wingett United States Denise Wingett's profile →
Citations per field
00.5×2.9×
Denise Wingett · 1×
Citations per year

Countries citing papers authored by Toru Maekawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Toru Maekawa

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Maekawa. A scholar is included among the top collaborators of Toru Maekawa 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 Toru Maekawa. Toru Maekawa 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 11
2 6
3 44
4 101
5 14
6
Synthesis and characterization of Mono-disperse Carbon Quantum Dots from Fennel Seeds: Photoluminescence analysis using Machine Learningbreakdown →
387
7 38
8 41
9 55
10 10
11 42
12 78
13 155
14 34
15 66
16 28
17 34
18 35
19 71
20 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) and Nanoplatforms for cancer theranostics (11 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.

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