Eiichi Idaka

37 total papers · 731 total citations
28 papers, 606 citations indexed

About

Eiichi Idaka is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Eiichi Idaka has authored 28 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Eiichi Idaka's work include Enzyme-mediated dye degradation (5 papers), Chromium effects and bioremediation (3 papers) and Microbial Metabolism and Applications (3 papers). Eiichi Idaka is often cited by papers focused on Enzyme-mediated dye degradation (5 papers), Chromium effects and bioremediation (3 papers) and Microbial Metabolism and Applications (3 papers). Eiichi Idaka collaborates with scholars based in Japan and Hungary. Eiichi Idaka's co-authors include Toshihiko Ogawa, Hiroyuki Horitsu, Chizuko Yatome, Tadao Kondo, Toshio Goto, Hisanobu Kaiya, Akira Nishida, Masaaki Uematsu, Masayuki Shibata and Koji Takeuchi and has published in prestigious journals such as Applied Microbiology and Biotechnology, Tetrahedron Letters and Chemistry Letters.

In The Last Decade

Eiichi Idaka

28 papers receiving 552 citations

Author Peers

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

Author Last Decade Papers Cites
Eiichi Idaka 348 187 174 116 99 28 606
Toshihiko Ogawa 457 1.3× 245 1.3× 240 1.4× 122 1.1× 119 1.2× 35 686
Xianchun Jin 290 0.8× 83 0.4× 163 0.9× 137 1.2× 46 0.5× 21 629
Shekhar B. Jadhav 298 0.9× 165 0.9× 199 1.1× 108 0.9× 67 0.7× 16 623
Rafael Castoldi 271 0.8× 46 0.2× 147 0.8× 179 1.5× 42 0.4× 25 655
Ali Ünyayar 418 1.2× 97 0.5× 226 1.3× 81 0.7× 62 0.6× 26 648
Miguel Á. Duarte‐Vázquez 367 1.1× 47 0.3× 124 0.7× 228 2.0× 49 0.5× 23 652
Shripad N. Surwase 206 0.6× 106 0.6× 155 0.9× 139 1.2× 32 0.3× 17 540
Camila Gabriel Kato 218 0.6× 45 0.2× 111 0.6× 81 0.7× 52 0.5× 17 540
Chiu-Yu Cheng 141 0.4× 97 0.5× 65 0.4× 106 0.9× 48 0.5× 22 573
Marcela Stefanini Ferreira Tsuboy 170 0.5× 87 0.5× 28 0.2× 123 1.1× 95 1.0× 14 593

Countries citing papers authored by Eiichi Idaka

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Idaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Idaka

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