Daisuke Saeki

54 papers receiving 1.4k citations

Peers

Daisuke Saeki
Comparison fields: 5 of 82
  • Water Science and Technology 861
  • Surfaces, Coatings and Films 232
  • Biomedical Engineering 815
  • Biomaterials 114
  • Pollution 86
Replace Joris de Grooth with:
Joris de Grooth Netherlands
S. Belfer Israel
Haiyang Zhao China
Masato Kukizaki Japan
Ingmar H. Huisman Sweden
Nidhi C. Dubey India
Yuying Deng China
E.P. Jacobs South Africa
Noboru KUBOTA Japan
Genghao Gong China
Daisuke Saeki relative to Joris de Grooth Netherlands Joris de Grooth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daisuke Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Saeki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Saeki Line = papers co-authored together Daisuke Saeki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012113
2 201894
3 201591
4 201478
5 202060
6 201758
7 201953
8 201352
9 201550
10 200949
11 201845
12 201542
13 201341
14 202040
15 200639
16 201035
17 201634
18 201830
19 201928
20 202028

About Daisuke Saeki

Daisuke Saeki is a scholar working on Water Science and Technology, Biomedical Engineering, Molecular Biology, Surfaces, Coatings and Films and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Membrane Separation Technologies (31 papers), Polymer Surface Interaction Studies (11 papers), Membrane-based Ion Separation Techniques (11 papers), Nanopore and Nanochannel Transport Studies (10 papers), Lipid Membrane Structure and Behavior (9 papers), Antimicrobial agents and applications (4 papers), Membrane Separation and Gas Transport (4 papers) and Microplastics and Plastic Pollution (4 papers). The work is most often cited by research in Water Science and Technology (861 citations), Surfaces, Coatings and Films (232 citations), Biomedical Engineering (815 citations), Biomaterials (114 citations) and Pollution (86 citations). Daisuke Saeki has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Hideto Matsuyama, Zhe Yang, Yoshikage Ohmukai, Tatsuo Maruyama, Isao Sawada, Cuijing Liu, Liang Cheng, Ryosuke Takagi, Tomohisa Yoshioka and Sosaku Ichikawa. Their work appears in journals such as Journal of Membrane Science, Colloids and Surfaces A Physicochemical and Engineering Aspects, Desalination, Journal of Colloid and Interface Science and ACS Applied Materials & Interfaces.

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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