Ling Lian

1.4k total citations
70 papers, 960 citations indexed

About

Ling Lian is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Ling Lian has authored 70 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Plant Science and 17 papers in Cancer Research. Recurrent topics in Ling Lian's work include RNA Research and Splicing (14 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (9 papers). Ling Lian is often cited by papers focused on RNA Research and Splicing (14 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (9 papers). Ling Lian collaborates with scholars based in China, United States and Indonesia. Ling Lian's co-authors include Ning Yang, Lujiang Qu, Jianfu Zhang, Lujiang Qu, Huaan Xie, Qiuhua Cai, Susan J. Lamont, Jiuzhou Song, Changjun Liu and Jiangxia Zheng and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ling Lian

65 papers receiving 943 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Lian China 19 382 268 244 140 138 70 960
Siu‐Ming Chan Hong Kong 25 307 0.8× 51 0.2× 43 0.2× 1.1k 7.7× 146 1.1× 61 1.9k
J.E. Bruemmer United States 25 295 0.8× 87 0.3× 112 0.5× 318 2.3× 82 0.6× 97 1.8k
Zsolt Csabai Hungary 15 281 0.7× 144 0.5× 96 0.4× 56 0.4× 47 0.3× 47 739
Inmaculada Parrilla Spain 39 787 2.1× 148 0.6× 88 0.4× 343 2.5× 165 1.2× 164 4.2k
Min Zhao China 16 301 0.8× 153 0.6× 127 0.5× 65 0.5× 42 0.3× 83 1.1k
S.G. Moore Ireland 15 97 0.3× 42 0.2× 38 0.2× 103 0.7× 147 1.1× 46 1.0k
Séverine Thomas Belgium 17 643 1.7× 142 0.5× 19 0.1× 276 2.0× 11 0.1× 44 1.1k
John R. Thurston United States 18 93 0.2× 371 1.4× 43 0.2× 105 0.8× 128 0.9× 89 1.1k
Stanisław Kamiński Poland 20 467 1.2× 96 0.4× 161 0.7× 78 0.6× 148 1.1× 127 1.6k
Meng Xie China 18 405 1.1× 26 0.1× 48 0.2× 58 0.4× 22 0.2× 84 801

Countries citing papers authored by Ling Lian

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Lian. A scholar is included among the top collaborators of Ling Lian 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 Ling Lian. Ling Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yan, Yiyuan, Jiahua Chen, Junying Li, et al.. (2025). Transcriptome of the ovaries and oviduct associates inflammatory response with high blood and meat spots incidence in chickens. BMC Genomics. 26(1). 1021–1021.
2.
Lian, Ling, Xiang Bai, Fengchun Jiang, et al.. (2025). Enhancement of processability, thermal stability, and mechanical properties of phthalonitrile resins via 3-aminophenylacetylene modification. European Polymer Journal. 235. 114061–114061. 2 indexed citations
3.
Yan, Yiyuan, Jiahua Chen, Junying Li, et al.. (2025). Brown-shell eggs shows high incidence of blood and meat spots accompanied by unique microbial distribution patterns. Frontiers in Nutrition. 12. 1561194–1561194.
4.
Dong, Meng, et al.. (2024). A time-course transcriptomic analysis reveals the key responses of a resistant rice cultivar to brown planthopper infestation. Scientific Reports. 14(1). 22455–22455. 1 indexed citations
5.
Wang, Lulu, Gang Zheng, Yuqin Yang, et al.. (2024). Rolling-Translated circRUNX2.2 Promotes Lymphoma Cell Proliferation and Cycle Transition in Marek’s Disease Model. International Journal of Molecular Sciences. 25(21). 11486–11486.
6.
Zhang, Ling, Lili Cui, Qiuhua Cai, et al.. (2024). The OsMAPK6–OsWRKY72 module positively regulates rice leaf angle through brassinosteroid signals. Plant Communications. 6(3). 101236–101236. 2 indexed citations
7.
Zhang, Haomin, Hong Li, Ling Lian, et al.. (2023). IPA1 improves drought tolerance by activating SNAC1 in rice. BMC Plant Biology. 23(1). 55–55. 23 indexed citations
8.
9.
Han, Yujiao, et al.. (2022). Role of gga-miR-29b-3p in suppressing the proliferation, invasion and migration of MSB1 Marek’s disease tumor cells by the targeting of the DNMT3B gene. Annals of Translational Medicine. 10(16). 873–873. 3 indexed citations
10.
Li, Xiuling, Chuanqi Zhao, Bo Han, et al.. (2021). Gga-miR-181a modulates ANP32A expression and inhibits MDCC-MSB-1 cell. In Vitro Cellular & Developmental Biology - Animal. 57(3). 272–279. 2 indexed citations
11.
Xu, Huibin, Ling Lian, Fuxiang Wang, et al.. (2020). Brassinosteroid signaling may regulate the germination of axillary buds in ratoon rice. BMC Plant Biology. 20(1). 76–76. 14 indexed citations
12.
Wang, Zhixian, Yan Li, Xiaosheng Zhang, et al.. (2015). A 90-Day Toxicology Study of Meat from Genetically Modified Sheep Overexpressing TLR4 in Sprague-Dawley Rats. PLoS ONE. 10(4). e0121636–e0121636. 14 indexed citations
13.
Li, Kaiyang, Ling Lian, Ning Yang, & Lujiang Qu. (2015). Temporal expression and DNA hypomethylation profile of CD30 in Marek's disease virus-infected chicken spleens. Poultry Science. 94(6). 1165–1169. 7 indexed citations
14.
Xu, Huibin, Yidong Wei, Y. S. Zhu, et al.. (2014). Antisense suppression of LOX3 gene expression in rice endosperm enhances seed longevity. Plant Biotechnology Journal. 13(4). 526–539. 83 indexed citations
15.
Li, Xin, et al.. (2014). gga-miR-26a targets NEK6 and suppresses Marek's disease lymphoma cell proliferation. Poultry Science. 93(5). 1097–1105. 45 indexed citations
16.
Wang, Peng, Jiangxia Zheng, Lujiang Qu, et al.. (2013). Molecular cloning, sequence characterization, SNP detection, and tissue expression analysis of duck FMO3 gene. Molecular and Cellular Biochemistry. 379(1-2). 141–151. 11 indexed citations
17.
Jie, Hang, Ling Lian, Lujiang Qu, et al.. (2013). Differential expression of Toll-like receptor genes in lymphoid tissues between Marek's disease virus-infected and noninfected chickens. Poultry Science. 92(3). 645–654. 32 indexed citations
18.
Zheng, Jiangxia, Peng Wang, Ling Lian, et al.. (2013). Quail FMO3 Gene Cloning, Tissue Expression Profiling, Polymorphism Detection and Association Analysis with Fishy Taint in Eggs. PLoS ONE. 8(11). e81416–e81416. 10 indexed citations
19.
Lian, Ling, et al.. (2012). NLRC5 knockdown in chicken macrophages alters response to LPS and poly (I:C) stimulation. BMC Veterinary Research. 8(1). 23–23. 36 indexed citations
20.

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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