Yunqi Wu

49 total papers · 1.0k total citations
30 papers, 640 citations indexed

About

Yunqi Wu is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Yunqi Wu has authored 30 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Physiology. Recurrent topics in Yunqi Wu's work include Plant Stress Responses and Tolerance (5 papers), Plant responses to water stress (5 papers) and Alzheimer's disease research and treatments (4 papers). Yunqi Wu is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Plant responses to water stress (5 papers) and Alzheimer's disease research and treatments (4 papers). Yunqi Wu collaborates with scholars based in Australia, Iran and United States. Yunqi Wu's co-authors include Mehdi Mirzaei, Thomas J. Kipps, Paul A. Haynes, Ghasem Hosseini Salekdeh, Vivek Gupta, Dana Pascovici, Jemma Wu, Brian J. Atwell, Stuart L. Graham and Joel M. Chick and has published in prestigious journals such as The Journal of Immunology, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Yunqi Wu

30 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Yunqi Wu 304 190 82 77 51 30 640
Chuang Li 393 1.3× 119 0.6× 26 0.3× 52 0.7× 45 0.9× 35 689
Yuka Kawai 184 0.6× 101 0.5× 83 1.0× 27 0.4× 52 1.0× 30 637
Curam S. Sundaram 314 1.0× 54 0.3× 74 0.9× 20 0.3× 43 0.8× 21 650
J. Bégueret 469 1.5× 214 1.1× 34 0.4× 50 0.6× 62 1.2× 31 755
F. Aerts 233 0.8× 60 0.3× 81 1.0× 33 0.4× 29 0.6× 25 626
Sungho Shin 389 1.3× 146 0.8× 36 0.4× 29 0.4× 26 0.5× 32 717
Kun He 511 1.7× 93 0.5× 130 1.6× 18 0.2× 30 0.6× 36 791
Masaaki Takano 245 0.8× 36 0.2× 193 2.4× 35 0.5× 21 0.4× 26 720
Yuanyuan Gao 385 1.3× 51 0.3× 57 0.7× 27 0.4× 28 0.5× 40 755
Chun Wu 428 1.4× 87 0.5× 56 0.7× 33 0.4× 23 0.5× 13 686

Countries citing papers authored by Yunqi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yunqi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunqi Wu

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