Ling‐Ling Chen

16.5k total citations · 3 hit papers
293 papers, 8.2k citations indexed

About

Ling‐Ling Chen is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ling‐Ling Chen has authored 293 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 81 papers in Plant Science and 27 papers in Genetics. Recurrent topics in Ling‐Ling Chen's work include Genomics and Phylogenetic Studies (41 papers), Plant Molecular Biology Research (17 papers) and Chromosomal and Genetic Variations (16 papers). Ling‐Ling Chen is often cited by papers focused on Genomics and Phylogenetic Studies (41 papers), Plant Molecular Biology Research (17 papers) and Chromosomal and Genetic Variations (16 papers). Ling‐Ling Chen collaborates with scholars based in China, United States and Taiwan. Ling‐Ling Chen's co-authors include Muhammad Tahir ul Qamar, Safar M. Alqahtani, Mubarak A. Alamri, Chih‐Horng Kuo, Jia‐Ming Song, Wen‐Sui Lo, Wan-Chia Chung, Donald Oliver, Phang C. Tai and Robert J. Cabelli and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ling‐Ling Chen

276 papers receiving 8.1k citations

Hit Papers

Structural basis of SARS-... 2020 2026 2022 2024 2020 2020 2023 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Ling‐Ling Chen 3.7k 2.6k 1.0k 744 548 293 8.2k
Mark N. Wass 5.8k 1.6× 1.6k 0.6× 1.1k 1.1× 871 1.2× 464 0.8× 68 9.5k
Florian Heer 5.3k 1.4× 1.2k 0.5× 798 0.8× 925 1.2× 521 1.0× 4 8.7k
Christine Rempfer 5.7k 1.5× 1.3k 0.5× 847 0.8× 991 1.3× 583 1.1× 6 9.3k
Narmada Thanki 5.6k 1.5× 2.2k 0.8× 694 0.7× 523 0.7× 563 1.0× 33 8.8k
Rosalba Lepore 5.7k 1.5× 1.3k 0.5× 814 0.8× 954 1.3× 576 1.1× 27 9.3k
Rafal Gumienny 6.2k 1.7× 1.3k 0.5× 859 0.8× 996 1.3× 630 1.1× 10 9.9k
Gerardo Tauriello 6.4k 1.7× 1.4k 0.6× 938 0.9× 1.1k 1.4× 686 1.3× 22 10.5k
Tjaart de Beer 6.5k 1.8× 1.4k 0.5× 1.0k 1.0× 1.1k 1.5× 716 1.3× 25 10.7k
Corey Nislow 9.4k 2.5× 1.9k 0.7× 1.4k 1.3× 628 0.8× 544 1.0× 190 12.3k
Florian Kiefer 5.1k 1.4× 908 0.4× 741 0.7× 548 0.7× 441 0.8× 29 8.1k

Countries citing papers authored by Ling‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Ling Chen. A scholar is included among the top collaborators of Ling‐Ling Chen 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‐Ling Chen. Ling‐Ling Chen 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.
Ouyang, Tao, Ruimin Qiao, Liezhao Liu, et al.. (2025). Pangenome analysis of transposable element insertion polymorphisms reveals features underlying cold tolerance in rice. Nature Communications. 16(1). 7634–7634. 1 indexed citations
2.
Liu, Yanjiao, Xinjian Zhang, Ling‐Ling Chen, et al.. (2024). A new xanthone isolated from Garcinia bracteata and its important effect on NO levels. Natural Product Research. 39(19). 5495–5501. 1 indexed citations
4.
Chen, Ling‐Ling, et al.. (2023). Concurrent vitiligo and atopic dermatitis successfully treated with upadacitinib: a case report. Journal of Dermatological Treatment. 34(1). 2200873–2200873. 17 indexed citations
5.
Chen, Ling‐Ling, et al.. (2022). Extraction of Impervious Surface from High‐Resolution Remote Sensing Images Based on a Lightweight Convolutional Neural Network. Wireless Communications and Mobile Computing. 2022(1). 2 indexed citations
6.
Wang, Shouchuang, Yong Xiao, Zhiwei Zhou, et al.. (2022). Cocos nucifera (coconut). Trends in Genetics. 38(10). 1096–1097. 6 indexed citations
7.
Wang, Shuo, et al.. (2022). Graph-based pan-genomes: increased opportunities in plant genomics. Journal of Experimental Botany. 74(1). 24–39. 30 indexed citations
8.
Zhu, Xi-Tong, Run Zhou, Jian Che, et al.. (2022). Ribosome profiling reveals the translational landscape and allele-specific translational efficiency in rice. Plant Communications. 4(2). 100457–100457. 24 indexed citations
9.
Zhang, Wenhui, Man‐Chiu Poon, Runhui Wu, et al.. (2022). Factor IX inhibitors in haemophilia B: A report of National Haemophilia Registry in China. Haemophilia. 29(1). 123–134. 6 indexed citations
10.
Qamar, Muhammad Tahir ul, Sajjad Ahmad, Abbas Khan, et al.. (2021). Structural probing of HapR to identify potent phytochemicals to control Vibrio cholera through integrated computational approaches. Computers in Biology and Medicine. 138. 104929–104929. 18 indexed citations
11.
He, Chao, Hao Liu, Dijun Chen, et al.. (2021). CRISPR‐Cereal: a guide RNA design tool integrating regulome and genomic variation for wheat, maize and rice. Plant Biotechnology Journal. 19(11). 2141–2143. 16 indexed citations
12.
Chen, Ling‐Ling & Wei Shen. (2021). Spatiotemporal differentiation of urban-rural income disparity and its driving force in the Yangtze River Economic Belt during 2000-2017. PLoS ONE. 16(2). e0245961–e0245961. 31 indexed citations
13.
Chen, Ling‐Ling, et al.. (2021). CharPlant: A De Novo Open Chromatin Region Prediction Tool for Plant Genomes. Genomics Proteomics & Bioinformatics. 19(5). 860–871. 4 indexed citations
14.
Zhou, Run, Xi-Tong Zhu, Jia‐Wu Feng, et al.. (2021). Analysis of Rice Transcriptome Reveals the LncRNA/CircRNA Regulation in Tissue Development. Rice. 14(1). 14–14. 32 indexed citations
15.
Xu, Pan, Zhichao Liu, Xiaoqian Sun, et al.. (2021). Motor training improves coordination and anxiety in symptomatic Mecp2 -null mice despite impaired functional connectivity within the motor circuit. Science Advances. 7(43). eabf7467–eabf7467. 10 indexed citations
16.
Song, Jia‐Ming, Zhilin Guan, Jianlin Hu, et al.. (2020). Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus. Nature Plants. 6(1). 34–45. 482 indexed citations breakdown →
17.
18.
Yang, Lin, Xing Feng, Qin He, et al.. (2020). Conserved Imprinted Genes between Intra-Subspecies and Inter-Subspecies Are Involved in Energy Metabolism and Seed Development in Rice. International Journal of Molecular Sciences. 21(24). 9618–9618. 10 indexed citations
19.
Liu, Yan, Muhammad Tahir ul Qamar, Jia‐Wu Feng, et al.. (2019). Comparative analysis of miniature inverted–repeat transposable elements (MITEs) and long terminal repeat (LTR) retrotransposons in six Citrus species. BMC Plant Biology. 19(1). 140–140. 26 indexed citations
20.
Song, Qi, Fang Lv, Muhammad Tahir ul Qamar, et al.. (2019). Identification and Analysis of Micro-Exon Genes in the Rice Genome. International Journal of Molecular Sciences. 20(11). 2685–2685. 6 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026