Nobutoshi Kiba

75 total papers · 805 total citations
70 papers, 667 citations indexed

About

Nobutoshi Kiba is a scholar working on Spectroscopy, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Nobutoshi Kiba has authored 70 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Spectroscopy, 19 papers in Electrical and Electronic Engineering and 19 papers in Biomedical Engineering. Recurrent topics in Nobutoshi Kiba's work include Analytical Chemistry and Chromatography (20 papers), Electrochemical sensors and biosensors (19 papers) and Amino Acid Enzymes and Metabolism (15 papers). Nobutoshi Kiba is often cited by papers focused on Analytical Chemistry and Chromatography (20 papers), Electrochemical sensors and biosensors (19 papers) and Amino Acid Enzymes and Metabolism (15 papers). Nobutoshi Kiba collaborates with scholars based in Japan, United States and China. Nobutoshi Kiba's co-authors include Motohisa Furusawa, Masaki Tachibana, Kazue Tani, Hitoshi Koizumi, Takeshi Yamane, Tsugio TAKEUCHI, Liang Zhang, Yukari Inoue, Limin Sun and Akira Kato and has published in prestigious journals such as Analytical Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Chromatography A.

In The Last Decade

Nobutoshi Kiba

67 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
Nobutoshi Kiba 256 226 201 189 143 70 667
Yukihiro Esaka 195 0.8× 311 1.4× 203 1.0× 233 1.2× 94 0.7× 66 747
Andriy B. Vishnikin 159 0.6× 135 0.6× 132 0.7× 90 0.5× 113 0.8× 59 694
Hisakuni Sato 172 0.7× 136 0.6× 295 1.5× 112 0.6× 169 1.2× 56 711
Tomoo Miwa 133 0.5× 188 0.8× 183 0.9× 126 0.7× 165 1.2× 77 761
Luis Lahuerta Zamora 162 0.6× 193 0.9× 159 0.8× 133 0.7× 160 1.1× 40 677
Shigeo Yamazaki 200 0.8× 157 0.7× 217 1.1× 192 1.0× 115 0.8× 56 774
Zhenghua Song 169 0.7× 195 0.9× 113 0.6× 228 1.2× 114 0.8× 76 752
Nuanlaor Ratanawimarnwong 167 0.7× 352 1.6× 106 0.5× 161 0.9× 169 1.2× 32 626
Rosanna Ciriello 312 1.2× 131 0.6× 90 0.4× 198 1.0× 116 0.8× 48 711
Yasukazu Asano 248 1.0× 272 1.2× 89 0.4× 199 1.1× 260 1.8× 42 682

Countries citing papers authored by Nobutoshi Kiba

Since Specialization
Citations

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

Fields of papers citing papers by Nobutoshi Kiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobutoshi Kiba

This figure shows the co-authorship network connecting the top 25 collaborators of Nobutoshi Kiba. A scholar is included among the top collaborators of Nobutoshi Kiba 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 Nobutoshi Kiba. Nobutoshi Kiba 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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2026