Ya Liu

136 total papers · 2.1k total citations
81 papers, 1.6k citations indexed

About

Ya Liu is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Ya Liu has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 25 papers in Molecular Biology and 9 papers in Soil Science. Recurrent topics in Ya Liu's work include Plant Stress Responses and Tolerance (9 papers), Plant tissue culture and regeneration (8 papers) and Plant Molecular Biology Research (8 papers). Ya Liu is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), Plant tissue culture and regeneration (8 papers) and Plant Molecular Biology Research (8 papers). Ya Liu collaborates with scholars based in China, South Korea and United States. Ya Liu's co-authors include Shuangcheng Li, Yan Li, Safa Motesharrei, Byoung Ryong Jeong, Jiayuan Xiang, Chunmei Xu, Gaohui Du, Jun Zhang, Yishan Wu and Zimin Dong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ya Liu

72 papers receiving 1.5k citations

Hit Papers

A Systematic Review on th... 2023 2026 2024 2023 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Ya Liu 715 306 256 222 194 81 1.6k
Qi Wang 420 0.6× 169 0.6× 131 0.5× 326 1.5× 101 0.5× 77 1.4k
Ke Chen 565 0.8× 246 0.8× 149 0.6× 401 1.8× 189 1.0× 65 1.9k
Michael Lang 864 1.2× 315 1.0× 575 2.2× 486 2.2× 176 0.9× 93 2.3k
Zheng‐Feng Wang 330 0.5× 298 1.0× 515 2.0× 142 0.6× 62 0.3× 126 1.5k
Zhongyu Sun 191 0.3× 85 0.3× 337 1.3× 294 1.3× 134 0.7× 69 1.4k
Tianpeng Gao 367 0.5× 91 0.3× 298 1.2× 158 0.7× 134 0.7× 107 1.4k
Li Fei 192 0.3× 193 0.6× 154 0.6× 334 1.5× 101 0.5× 107 1.6k
Zahid Ullah 864 1.2× 187 0.6× 146 0.6× 123 0.6× 82 0.4× 80 1.8k
Pengfa Li 296 0.4× 224 0.7× 305 1.2× 379 1.7× 32 0.2× 55 1.4k
Chengwei Li 723 1.0× 404 1.3× 160 0.6× 42 0.2× 133 0.7× 120 1.8k

Countries citing papers authored by Ya Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Liu

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