Masatoshi Hashino

485 total citations
10 papers, 419 citations indexed

About

Masatoshi Hashino is a scholar working on Water Science and Technology, Biomedical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Masatoshi Hashino has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 5 papers in Biomedical Engineering and 2 papers in Surfaces, Coatings and Films. Recurrent topics in Masatoshi Hashino's work include Membrane Separation Technologies (7 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Membrane-based Ion Separation Techniques (3 papers). Masatoshi Hashino is often cited by papers focused on Membrane Separation Technologies (7 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Membrane-based Ion Separation Techniques (3 papers). Masatoshi Hashino collaborates with scholars based in Japan. Masatoshi Hashino's co-authors include Noboru KUBOTA, Yoshikage Ohmukai, Tatsuo Maruyama, Hideto Matsuyama, Toru Ishigami, Takeshi Katagiri, Yoshihiko Mori, A Omori, Wataru Nishijima and Morihito Okada and has published in prestigious journals such as Journal of Membrane Science, Desalination and Water Science & Technology.

In The Last Decade

Masatoshi Hashino

10 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masatoshi Hashino Japan	7	372	259	90	78	52	10	419
Tom Knoell United States	5	374 1.0×	273 1.1×	115 1.3×	45 0.6×	44 0.8×	8	446
Daniella B. Mosqueda‐Jimenez Canada	9	321 0.9×	224 0.9×	93 1.0×	119 1.5×	57 1.1×	11	352
J.I. Calvo Spain	9	454 1.2×	360 1.4×	144 1.6×	80 1.0×	70 1.3×	9	553
Young-June Won South Korea	10	425 1.1×	326 1.3×	121 1.3×	104 1.3×	132 2.5×	11	562
Yulu Ye China	8	364 1.0×	265 1.0×	104 1.2×	58 0.7×	37 0.7×	15	460
Farhad Zamani Singapore	12	460 1.2×	304 1.2×	169 1.9×	93 1.2×	51 1.0×	16	528
Masahiko Hirose Japan	8	519 1.4×	411 1.6×	176 2.0×	152 1.9×	39 0.8×	11	630
Nancy H. Lin United States	6	318 0.9×	270 1.0×	118 1.3×	52 0.7×	66 1.3×	6	395
Yongqiang Guo China	12	299 0.8×	239 0.9×	98 1.1×	77 1.0×	35 0.7×	14	404
Adel Soroush Canada	8	409 1.1×	407 1.6×	95 1.1×	75 1.0×	25 0.5×	10	535

Countries citing papers authored by Masatoshi Hashino

Since Specialization

Citations

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

Fields of papers citing papers by Masatoshi Hashino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Hashino

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

All Works

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10 of 10 papers shown

Yamamura, Hiroshi, Masatoshi Hashino, & Noboru KUBOTA. (2011). Membrane Filtration: Principle and Applications in Water Treatment. Sen i Gakkaishi. 67(3). P.81–P.86. 3 indexed citations

Hashino, Masatoshi, Takeshi Katagiri, Noboru KUBOTA, et al.. (2011). Effects of three natural organic matter types on cellulose acetate butyrate microfiltration membrane fouling. Journal of Membrane Science. 379(1-2). 233–238. 77 indexed citations

Hashino, Masatoshi, Toru Ishigami, Yoshikage Ohmukai, et al.. (2011). Effect of kinds of membrane materials on membrane fouling with BSA. Journal of Membrane Science. 384(1-2). 157–165. 147 indexed citations

Hashino, Masatoshi, Takeshi Katagiri, Noboru KUBOTA, et al.. (2010). Effect of surface roughness of hollow fiber membranes with gear-shaped structure on membrane fouling by sodium alginate. Journal of Membrane Science. 366(1-2). 389–397. 65 indexed citations

Hashino, Masatoshi, Takeshi Katagiri, Noboru KUBOTA, et al.. (2010). Effect of membrane surface morphology on membrane fouling with sodium alginate. Journal of Membrane Science. 366(1-2). 258–265. 48 indexed citations

Hashino, Masatoshi, et al.. (2001). Advanced water treatment system using ozone and ozone resistant microfiltration module. Water Science & Technology Water Supply. 1(5-6). 169–175. 4 indexed citations

Hashino, Masatoshi, et al.. (2000). Pilot plant evaluation of an ozone-microfiltration system for drinking water treatment. Water Science & Technology. 41(10-11). 17–23. 20 indexed citations

Mori, Yoshihiko, et al.. (1998). Ozone resistance Membrane and Ozone-Microfiltration System.. MEMBRANE. 23(5). 273–276. 1 indexed citations

Mori, Yoshihiko, et al.. (1998). Ozone-microfiltration system. Desalination. 117(1-3). 211–218. 38 indexed citations

10.

Hashino, Masatoshi, et al.. (1997). Synthesis of novel microfilters with ion-exchange capacity and its application to ultrapure water production systems. Journal of Membrane Science. 132(2). 203–211. 16 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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