Junya Nishino

50 total papers · 647 total citations
28 papers, 535 citations indexed

About

Junya Nishino is a scholar working on Condensed Matter Physics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Junya Nishino has authored 28 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Condensed Matter Physics, 6 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Junya Nishino's work include Physics of Superconductivity and Magnetism (6 papers), Recycling and utilization of industrial and municipal waste in materials production (4 papers) and Thermochemical Biomass Conversion Processes (4 papers). Junya Nishino is often cited by papers focused on Physics of Superconductivity and Magnetism (6 papers), Recycling and utilization of industrial and municipal waste in materials production (4 papers) and Thermochemical Biomass Conversion Processes (4 papers). Junya Nishino collaborates with scholars based in Japan, United States and Taiwan. Junya Nishino's co-authors include Yoshiaki Matsuzawa, Muneo Ayabe, Shunichiro Ueno, Yuh Shiohara, Hirohiko Murakami, Roland Weber, Takeshi Sakurai, Masaaki Itoh, Shōji Tanaka and Yoshio Uemichi and has published in prestigious journals such as Chemosphere, The Journal of Organic Chemistry and Fuel.

In The Last Decade

Junya Nishino

27 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Junya Nishino	222	148	125	101	91	28	535
J.C. Rouchaud	100 0.5×	60 0.4×	17 0.1×	171 1.7×	29 0.3×	34	611
Jelena Buha	106 0.5×	63 0.4×	66 0.5×	427 4.2×	16 0.2×	15	619
Nobuhiko Kubota	91 0.4×	48 0.3×	47 0.4×	231 2.3×	131 1.4×	27	482
Xue Chen	98 0.4×	34 0.2×	67 0.5×	175 1.7×	11 0.1×	40	516
Jean‐Philippe Boisvert	78 0.4×	91 0.6×	80 0.6×	146 1.4×	8 0.1×	21	586
Fanghai Lu	112 0.5×	86 0.6×	37 0.3×	97 1.0×	19 0.2×	22	479
Lan Gao	161 0.7×	57 0.4×	18 0.1×	121 1.2×	11 0.1×	28	505
Inshad Jum’h	121 0.5×	61 0.4×	134 1.1×	142 1.4×	12 0.1×	33	484
Xuechun Zhang	172 0.8×	36 0.2×	39 0.3×	58 0.6×	12 0.1×	33	461
Kaiqi Yang	63 0.3×	62 0.4×	30 0.2×	203 2.0×	8 0.1×	20	581

Countries citing papers authored by Junya Nishino

Since Specialization

Citations

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

Fields of papers citing papers by Junya Nishino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Nishino

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

All Works

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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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