Taro Miyoshi

1.2k total citations
40 papers, 1.0k citations indexed

About

Taro Miyoshi is a scholar working on Water Science and Technology, Biomedical Engineering and Pollution. According to data from OpenAlex, Taro Miyoshi has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Water Science and Technology, 24 papers in Biomedical Engineering and 12 papers in Pollution. Recurrent topics in Taro Miyoshi's work include Membrane Separation Technologies (33 papers), Membrane-based Ion Separation Techniques (23 papers) and Wastewater Treatment and Nitrogen Removal (11 papers). Taro Miyoshi is often cited by papers focused on Membrane Separation Technologies (33 papers), Membrane-based Ion Separation Techniques (23 papers) and Wastewater Treatment and Nitrogen Removal (11 papers). Taro Miyoshi collaborates with scholars based in Japan, China and Indonesia. Taro Miyoshi's co-authors include Yoshimasa Watanabe, Katsuki Kimura, Hideto Matsuyama, Nobuhiro Yamato, Masahiro Yasukawa, Tomoki Takahashi, M. Shibuya, Jinren Ni, Daisuke Saeki and Toshinori Tsuru and has published in prestigious journals such as Environmental Science & Technology, Water Research and Bioresource Technology.

In The Last Decade

Taro Miyoshi

40 papers receiving 990 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taro Miyoshi Japan 21 851 600 299 199 107 40 1.0k
Yoontaek Oh United States 8 1.0k 1.2× 702 1.2× 259 0.9× 259 1.3× 100 0.9× 16 1.3k
Han-Seung Kim South Korea 17 624 0.7× 398 0.7× 171 0.6× 140 0.7× 78 0.7× 54 790
Seong-Hoon Yoon South Korea 14 701 0.8× 382 0.6× 298 1.0× 174 0.9× 81 0.8× 27 897
Hongde Zhou Canada 17 628 0.7× 339 0.6× 278 0.9× 101 0.5× 87 0.8× 36 860
L.P. Wessels Netherlands 14 1.0k 1.2× 748 1.2× 121 0.4× 301 1.5× 93 0.9× 16 1.2k
J.A.M. van Paassen Netherlands 12 715 0.8× 476 0.8× 130 0.4× 163 0.8× 60 0.6× 15 841
Lai Yoke Lee Singapore 13 578 0.7× 424 0.7× 105 0.4× 151 0.8× 62 0.6× 21 865
Wui Seng Ang Singapore 9 1.3k 1.5× 1.0k 1.7× 113 0.4× 405 2.0× 246 2.3× 14 1.4k
Paula van den Brink Netherlands 11 388 0.5× 247 0.4× 137 0.5× 89 0.4× 107 1.0× 15 602
Graeme Pearce United Kingdom 9 678 0.8× 396 0.7× 82 0.3× 164 0.8× 80 0.7× 27 800

Countries citing papers authored by Taro Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Taro Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taro Miyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Taro Miyoshi. A scholar is included among the top collaborators of Taro Miyoshi 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 Taro Miyoshi. Taro Miyoshi 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
1.
Miyoshi, Taro, et al.. (2018). Energy reduction of a submerged membrane bioreactor using a polytetrafluoroethylene (PTFE) hollow-fiber membrane. Frontiers of Environmental Science & Engineering. 12(3). 21 indexed citations
2.
Miyoshi, Taro, Yukina Takahashi, Takayuki Suzuki, Rachnarin Nitisoravut, & Chongrak Polprasert. (2018). Treatment of highly-colored surface water by a hybrid microfiltration membrane system incorporating ion-exchange. Water Science & Technology Water Supply. 19(3). 855–863. 3 indexed citations
3.
Zhou, Zhuang, Saeid Rajabzadeh, Li‐Feng Fang, et al.. (2017). Preparation of robust braid-reinforced poly(vinyl chloride) ultrafiltration hollow fiber membrane with antifouling surface and application to filtration of activated sludge solution. Materials Science and Engineering C. 77. 662–671. 30 indexed citations
4.
Liu, Sitong, et al.. (2016). Discrepant membrane fouling of partial nitrification and anammox membrane bioreactor operated at the same nitrogen loading rate. Bioresource Technology. 214. 729–736. 41 indexed citations
5.
Liu, Sitong, et al.. (2015). Mitigated membrane fouling of anammox membrane bioreactor by microbiological immobilization. Bioresource Technology. 201. 312–318. 42 indexed citations
6.
Shibuya, M., Masahiro Yasukawa, Tomoki Takahashi, et al.. (2015). Effects of operating conditions and membrane structures on the performance of hollow fiber forward osmosis membranes in pressure assisted osmosis. Desalination. 365. 381–388. 36 indexed citations
7.
Kimura, Katsuki, et al.. (2015). Transition of major components in irreversible fouling of MBRs treating municipal wastewater. Separation and Purification Technology. 142. 326–331. 44 indexed citations
8.
Yasukawa, Masahiro, M. Shibuya, Daisuke Saeki, et al.. (2015). Preparation of a forward osmosis membrane using a highly porous polyketone microfiltration membrane as a novel support. Journal of Membrane Science. 487. 51–59. 88 indexed citations
9.
Miyoshi, Taro, et al.. (2015). Proteins causing membrane fouling in membrane bioreactors. Water Science & Technology. 72(6). 844–849. 7 indexed citations
10.
Tsuboi, Seiji, et al.. (2014). Application of Adjoint Method and Spectral-Element Method to Tomographic Inversion of Regional Seismological Structure Beneath Japanese Islands. 2014 AGU Fall Meeting. 2014. 1 indexed citations
11.
Fukushima, Toshikazu, Makoto Urai, Ikuro Kasuga, et al.. (2014). Toxicity assessment of chlorinated wastewater effluents by using transcriptome-based bioassays and Fourier transform mass spectrometry (FT-MS) analysis. Water Research. 52. 73–82. 27 indexed citations
12.
13.
Tsuboi, Seiji, et al.. (2013). Source mechanism of May 24, 2013 Sea of Okhotsk deep earthquake (Mw8.3) estimated by broadband waveform modeling. AGUFM. 2013. 1 indexed citations
14.
Nakashima, Koji, et al.. (2013). Evaluation of Whole Wastewater Effluent Impacts on HepG2 using DNA Microarray-based Transcriptome Analysis. Environmental Science & Technology. 47(10). 5425–5432. 21 indexed citations
15.
Kimura, Katsuki, et al.. (2013). Membrane fouling caused by sub-micron particles in a mixed liquor suspension of an MBR. Water Science & Technology. 67(11). 2602–2607. 3 indexed citations
16.
17.
Miyoshi, Taro, et al.. (2009). Seasonal variation in membrane fouling in membrane bioreactors (MBRs) treating municipal wastewater. Water Research. 43(20). 5109–5118. 72 indexed citations
18.
Kimura, Katsuki, et al.. (2008). The difference in characteristics of foulants in submerged MBRs caused by the difference in the membrane flux. Desalination. 231(1-3). 268–275. 39 indexed citations
19.
Kimura, Katsuki, et al.. (2007). Baffled membrane bioreactor (BMBR) for efficient nutrient removal from municipal wastewater. Water Research. 42(3). 625–632. 57 indexed citations
20.
Tsujimoto, Yasuhisa, Kirsten Nagashima, Shuichi Kawashima, et al.. (1988). Manganese inhibits benzoyl peroxide/copper-dependent lipid peroxidation in the microsomal fraction of rabbit dental pulp. Cell Biology International Reports. 12(2). 143–147. 1 indexed citations

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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