Shinji Wada

74 total papers · 1.3k total citations
49 papers, 1.0k citations indexed

About

Shinji Wada is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shinji Wada has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shinji Wada's work include Aquaculture disease management and microbiota (5 papers), Enzyme-mediated dye degradation (5 papers) and Dye analysis and toxicity (5 papers). Shinji Wada is often cited by papers focused on Aquaculture disease management and microbiota (5 papers), Enzyme-mediated dye degradation (5 papers) and Dye analysis and toxicity (5 papers). Shinji Wada collaborates with scholars based in Japan, Germany and United States. Shinji Wada's co-authors include Kenji Tatsumi, Hiroyasu Ichikawa, Ronald R. Navarro, Richard F. Jordan, Günter Schneider, Masami Fukushima, Kishio Hatai, Osamu Kurata, Makoto Yamashita and Y Hayashi and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Shinji Wada

48 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
Shinji Wada 251 210 165 146 124 49 1.0k
Haitao Yue 203 0.8× 328 1.6× 172 1.0× 59 0.4× 83 0.7× 48 1.2k
Le Lv 100 0.4× 257 1.2× 80 0.5× 119 0.8× 65 0.5× 45 1.1k
Bingjie Wang 133 0.5× 219 1.0× 266 1.6× 37 0.3× 174 1.4× 42 1.1k
Jiali Wang 103 0.4× 295 1.4× 91 0.6× 33 0.2× 36 0.3× 70 1.1k
Ming Qi 55 0.2× 302 1.4× 86 0.5× 64 0.4× 229 1.8× 30 886
Manju Rawat 119 0.5× 399 1.9× 81 0.5× 32 0.2× 32 0.3× 61 1.2k
Fu Liu 88 0.4× 166 0.8× 50 0.3× 60 0.4× 222 1.8× 65 797
Pingping Song 156 0.6× 214 1.0× 73 0.4× 55 0.4× 11 0.1× 42 804
Peng Lü 94 0.4× 403 1.9× 66 0.4× 101 0.7× 154 1.2× 59 1.1k
Pingli Liu 266 1.1× 412 2.0× 326 2.0× 27 0.2× 76 0.6× 47 1.2k

Countries citing papers authored by Shinji Wada

Since Specialization
Citations

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

Fields of papers citing papers by Shinji Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinji Wada

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