Lingling Dou

678 total citations
23 papers, 465 citations indexed

About

Lingling Dou is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Lingling Dou has authored 23 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 13 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Lingling Dou's work include Research in Cotton Cultivation (15 papers), Plant Molecular Biology Research (12 papers) and Plant Gene Expression Analysis (5 papers). Lingling Dou is often cited by papers focused on Research in Cotton Cultivation (15 papers), Plant Molecular Biology Research (12 papers) and Plant Gene Expression Analysis (5 papers). Lingling Dou collaborates with scholars based in China, Australia and Italy. Lingling Dou's co-authors include Shuxun Yu, Hengling Wei, Chaoyou Pang, Shuli Fan, Meizhen Song, Xiaohong Zhang, Huaizhu Li, Guanghui Xiao, Hantao Wang and Edoardo Pozio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Lingling Dou

23 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Dou China 13 361 276 36 36 18 23 465
A. Bailey Mexico 7 221 0.6× 149 0.5× 29 0.8× 9 0.3× 8 0.4× 11 374
Binyan Wu China 7 146 0.4× 105 0.4× 14 0.4× 10 0.3× 8 0.4× 8 329
María Auxiliadora de Queiroz Cavalcanti Brazil 11 257 0.7× 80 0.3× 27 0.8× 33 0.9× 22 1.2× 45 399
Nuria Lozano-García Spain 6 192 0.5× 77 0.3× 20 0.6× 51 1.4× 9 0.5× 9 287
Monica Grandi Italy 11 62 0.2× 141 0.5× 31 0.9× 26 0.7× 13 0.7× 25 342
Feng-Li Hui China 12 253 0.7× 398 1.4× 12 0.3× 36 1.0× 36 2.0× 71 498
Devendra Kumar India 10 163 0.5× 46 0.2× 14 0.4× 14 0.4× 14 0.8× 50 281
Marina Nadal United States 11 451 1.2× 204 0.7× 23 0.6× 16 0.4× 32 1.8× 13 590
Joël Duperray France 11 93 0.3× 44 0.2× 12 0.3× 32 0.9× 10 0.6× 26 377

Countries citing papers authored by Lingling Dou

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Dou. A scholar is included among the top collaborators of Lingling Dou 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 Lingling Dou. Lingling Dou 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.
Dou, Lingling, Zihan Li, Huiqin Wang, et al.. (2022). The hexokinase Gene Family in Cotton: Genome-Wide Characterization and Bioinformatics Analysis. Frontiers in Plant Science. 13. 882587–882587. 13 indexed citations
2.
Dou, Lingling, Limin Lv, Yangyang Kang, et al.. (2021). Genome-wide identification and expression analysis of the GhIQD gene family in upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 2 indexed citations
3.
Dou, Lingling, et al.. (2021). Transcriptomic Characterization of the Effects of Selenium on Maize Seedling Growth. Frontiers in Plant Science. 12. 737029–737029. 17 indexed citations
4.
Dou, Lingling, Changwei Ge, Qian Shen, et al.. (2021). Transcriptomic analyses show that 24-epibrassinolide (EBR) promotes cold tolerance in cotton seedlings. PLoS ONE. 16(2). e0245070–e0245070. 17 indexed citations
5.
Zhu, Liping, Lingling Dou, Hǎihóng Shāng, et al.. (2021). GhPIPLC2D promotes cotton fiber elongation by enhancing ethylene biosynthesis. iScience. 24(3). 102199–102199. 13 indexed citations
6.
Dou, Lingling, Zhifang Li, Qian Shen, et al.. (2021). Genome-wide characterization of the WAK gene family and expression analysis under plant hormone treatment in cotton. BMC Genomics. 22(1). 85–85. 28 indexed citations
7.
Zhu, Liping, et al.. (2021). GhPIPLC2D promotes cotton fiber elongation by enhancing ethylene biosynthesis. iScience. 24(7). 102737–102737. 5 indexed citations
8.
Li, Huaizhu, Caihua Zhou, Lingling Dou, et al.. (2020). The complete chloroplast genome sequence of Thymus mongolicus (Labiatae), a special spice plant. SHILAP Revista de lepidopterología. 5(3). 2597–2598. 5 indexed citations
9.
Liu, Junfang, Xianliang Zhang, Lingling Dou, et al.. (2020). Patterns of presence-absence variants in Upland cotton. Science China Life Sciences. 63(10). 1600–1603. 1 indexed citations
10.
Liu, Cuixia, Zhifang Li, Lingling Dou, et al.. (2020). A genome-wide identification of the BLH gene family reveals BLH1 involved in cotton fiber development. Journal of Cotton Research. 3(1). 6 indexed citations
11.
Li, Huaizhu, et al.. (2019). The complete chloroplast genome sequence of Mentha canadensis (Labiatae), a traditional Chinese herbal medicine. SHILAP Revista de lepidopterología. 5(1). 55–56. 6 indexed citations
12.
Gu, Lijiao, Lingling Dou, Hantao Wang, et al.. (2019). The WRKY transcription factor GhWRKY27 coordinates the senescence regulatory pathway in upland cotton (Gossypium hirsutum L.) . BMC Plant Biology. 19(1). 116–116. 49 indexed citations
13.
Dou, Lingling, Xiaoyun Jia, Hengling Wei, et al.. (2017). Global analysis of DNA methylation in young (J1) and senescent (J2) Gossypium hirsutum L. cotyledons by MeDIP-Seq. PLoS ONE. 12(7). e0179141–e0179141. 11 indexed citations
14.
Pang, Chaoyou, Xiaoyun Jia, Lingling Dou, et al.. (2017). An NAM Domain Gene, GhNAC79, Improves Resistance to Drought Stress in Upland Cotton. Frontiers in Plant Science. 8. 1657–1657. 31 indexed citations
15.
Fang, Chun, et al.. (2017). Heat stress-responsive transcriptome analysis in heat susceptible and tolerant rice by high-throughput sequencing. Ecological Genetics and Genomics. 6. 33–40. 10 indexed citations
16.
Wang, Xiaoyan, et al.. (2016). Genome-wide characterization and comparative analysis of the MLO gene family in cotton. Plant Physiology and Biochemistry. 103. 106–119. 13 indexed citations
17.
Dou, Lingling, Chaoyou Pang, Hengling Wei, et al.. (2016). Identification of GT Factors in Response to Stresses and Leaf Senescence in Gossypium hirsutum L.. Journal of Plant Growth Regulation. 36(1). 22–42. 2 indexed citations
18.
Dou, Lingling, Xiaohong Zhang, Chaoyou Pang, et al.. (2014). Genome-wide analysis of the WRKY gene family in cotton. Molecular Genetics and Genomics. 289(6). 1103–1121. 113 indexed citations
19.
Zhang, Xiaohong, Lingling Dou, Chaoyou Pang, et al.. (2014). Genomic organization, differential expression, and functional analysis of the SPL gene family in Gossypium hirsutum. Molecular Genetics and Genomics. 290(1). 115–126. 42 indexed citations
20.
Gasser, Robin B., et al.. (1998). PCR-SSCP of rDNA for the identification ofTrichinellaisolates from mainland China. Molecular and Cellular Probes. 12(1). 27–34. 45 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.

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