Kaede C. Wada

32 total papers · 914 total citations
21 papers, 643 citations indexed

About

Kaede C. Wada is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kaede C. Wada has authored 21 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 11 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kaede C. Wada's work include Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (6 papers) and Rice Cultivation and Yield Improvement (4 papers). Kaede C. Wada is often cited by papers focused on Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (6 papers) and Rice Cultivation and Yield Improvement (4 papers). Kaede C. Wada collaborates with scholars based in Japan, Namibia and United States. Kaede C. Wada's co-authors include Kiyotoshi Takeno, Takeshi Shiraya, Hiroshi Kondo, Toshiaki Mitsui, Mizuki Yamada, Kentaro Kaneko, Takashi Miura, Koji Yamane, Morio Iijima and Yoshinori Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kaede C. Wada

20 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Kaede C. Wada 548 281 68 49 30 21 643
Jiemeng Xu 497 0.9× 263 0.9× 66 1.0× 77 1.6× 25 0.8× 13 621
Hanlai Zeng 552 1.0× 216 0.8× 50 0.7× 77 1.6× 15 0.5× 33 619
Masataka Wakayama 361 0.7× 302 1.1× 49 0.7× 33 0.7× 40 1.3× 28 704
Rhitu Rai 490 0.9× 308 1.1× 36 0.5× 67 1.4× 41 1.4× 25 665
Xueli Lu 603 1.1× 202 0.7× 41 0.6× 95 1.9× 34 1.1× 27 730
Xiaolong Huang 457 0.8× 288 1.0× 50 0.7× 60 1.2× 24 0.8× 32 588
Meili Xiao 503 0.9× 358 1.3× 42 0.6× 125 2.6× 36 1.2× 23 680
Tribikram Bhattarai 390 0.7× 216 0.8× 56 0.8× 24 0.5× 28 0.9× 21 614
Glenn Philippe 596 1.1× 286 1.0× 69 1.0× 31 0.6× 31 1.0× 14 744
Weimeng Fu 652 1.2× 202 0.7× 59 0.9× 51 1.0× 16 0.5× 21 749

Countries citing papers authored by Kaede C. Wada

Since Specialization
Citations

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

Fields of papers citing papers by Kaede C. Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaede C. Wada

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