Yoïchi Ishibashi

68 total papers · 631 total citations
49 papers, 508 citations indexed

About

Yoïchi Ishibashi is a scholar working on Analytical Chemistry, Computational Mechanics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yoïchi Ishibashi has authored 49 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 10 papers in Computational Mechanics and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yoïchi Ishibashi's work include Analytical chemistry methods development (15 papers), Toxic Organic Pollutants Impact (8 papers) and Pesticide Residue Analysis and Safety (6 papers). Yoïchi Ishibashi is often cited by papers focused on Analytical chemistry methods development (15 papers), Toxic Organic Pollutants Impact (8 papers) and Pesticide Residue Analysis and Safety (6 papers). Yoïchi Ishibashi collaborates with scholars based in Japan, United States and Slovenia. Yoïchi Ishibashi's co-authors include Koichi Oguma, Akihiro Ono, SHOZO ASADA, Satoshi Tsuruta, Kenji Nishida, Hideaki Morikawa, Takeshi Tsuji, Yasuo Tsuchiya, Hiroaki Nishio and Jun Harada and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, ISIJ International and IEEE Transactions on Consumer Electronics.

In The Last Decade

Yoïchi Ishibashi

45 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
Yoïchi Ishibashi	262	212	143	117	99	49	508
Ingemar Magnusson	217 0.8×	234 1.1×	92 0.6×	100 0.9×	65 0.7×	24	537
Wu Xu	124 0.5×	91 0.4×	51 0.4×	68 0.6×	68 0.7×	23	458
Jim O. Olsson	185 0.7×	177 0.8×	54 0.4×	40 0.3×	125 1.3×	33	531
Gözdem Kılaz	130 0.5×	115 0.5×	62 0.4×	93 0.8×	259 2.6×	35	610
Zechang Liu	161 0.6×	153 0.7×	30 0.2×	28 0.2×	101 1.0×	33	507
Е. А. Чернышева	157 0.6×	96 0.5×	38 0.3×	78 0.7×	307 3.1×	42	497
Run Zou	155 0.6×	133 0.6×	52 0.4×	132 1.1×	88 0.9×	35	476
Jian Zhang	244 0.9×	60 0.3×	148 1.0×	16 0.1×	188 1.9×	45	500
Yaozong Duan	384 1.5×	193 0.9×	118 0.8×	5 0.0×	234 2.4×	42	494
Jason M. Porter	24 0.1×	87 0.4×	124 0.9×	26 0.2×	109 1.1×	44	604

Countries citing papers authored by Yoïchi Ishibashi

Since Specialization

Citations

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

Fields of papers citing papers by Yoïchi Ishibashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoïchi Ishibashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoïchi Ishibashi. A scholar is included among the top collaborators of Yoïchi Ishibashi 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 Yoïchi Ishibashi. Yoïchi Ishibashi 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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