Runrun Sun

1.3k total citations
28 papers, 959 citations indexed

About

Runrun Sun is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Runrun Sun has authored 28 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Runrun Sun's work include Research in Cotton Cultivation (15 papers), Plant Molecular Biology Research (15 papers) and Plant Virus Research Studies (8 papers). Runrun Sun is often cited by papers focused on Research in Cotton Cultivation (15 papers), Plant Molecular Biology Research (15 papers) and Plant Virus Research Studies (8 papers). Runrun Sun collaborates with scholars based in China, United States and Hong Kong. Runrun Sun's co-authors include Baohong Zhang, Qinglian Wang, Fuliang Xie, Don C. Jones, Jun Ma, Chengqi Li, Qinglian Wang, Qiuling He, Yuanyuan Wang and Fei Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Runrun Sun

27 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runrun Sun China 15 773 446 47 38 34 28 959
Jinlu Li China 14 830 1.1× 496 1.1× 41 0.9× 27 0.7× 15 0.4× 22 1.1k
Degao Liu United States 18 546 0.7× 532 1.2× 45 1.0× 10 0.3× 6 0.2× 37 833
Huiguang Li China 16 322 0.4× 411 0.9× 36 0.8× 12 0.3× 69 2.0× 25 776
Donna M. Bond New Zealand 11 970 1.3× 600 1.3× 70 1.5× 58 1.5× 7 0.2× 21 1.3k
Babar Hussain Türkiye 11 372 0.5× 401 0.9× 61 1.3× 7 0.2× 7 0.2× 18 693
Qian Yu China 16 138 0.2× 268 0.6× 119 2.5× 32 0.8× 20 0.6× 53 691
Yuhua Chen China 12 116 0.2× 186 0.4× 70 1.5× 33 0.9× 14 0.4× 35 390
Annick Berne-Dedieu France 15 807 1.0× 901 2.0× 108 2.3× 48 1.3× 12 0.4× 19 1.3k

Countries citing papers authored by Runrun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Runrun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runrun Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Runrun Sun. A scholar is included among the top collaborators of Runrun Sun 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 Runrun Sun. Runrun Sun 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.
Sun, Runrun, Yuanyuan Wang, Lijie Li, et al.. (2025). Genome-wide identification of CA genes in cotton and the functional analysis of GhαCA4-D, GhβCA6-D and GhγCA2-D in response to drought and salt stresses. International Journal of Biological Macromolecules. 304(Pt 2). 140872–140872. 2 indexed citations
2.
Wang, Yuanyuan, Yanchao Xu, Runrun Sun, et al.. (2023). Genome-wide association study for boll weight in Gossypium hirsutum races. Functional & Integrative Genomics. 23(4). 331–331. 3 indexed citations
3.
Wang, Yuanyuan, Xiaoyan Cai, Yanchao Xu, et al.. (2023). Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races. International Journal of Molecular Sciences. 24(12). 10404–10404. 4 indexed citations
4.
Wang, Yuanyuan, Yuqing Hou, Zhongli Zhou, et al.. (2022). Genome-Wide Dissection of the Genetic Basis for Drought Tolerance in Gossypium hirsutum L. Races. Frontiers in Plant Science. 13. 876095–876095. 8 indexed citations
5.
Sun, Runrun, Tengfei Qin, Yuanyuan Wang, et al.. (2022). Genome-wide identification of KNOX transcription factors in cotton and the role of GhKNOX4-A and GhKNOX22-D in response to salt and drought stress. International Journal of Biological Macromolecules. 226. 1248–1260. 14 indexed citations
6.
7.
Wang, Guo, Runrun Sun, Qian Li, et al.. (2020). Impact of potassium deficiency on cotton growth, development and potential microRNA-mediated mechanism. Plant Physiology and Biochemistry. 153. 72–80. 52 indexed citations
8.
9.
Wang, Min, Runrun Sun, Baohong Zhang, & Qinglian Wang. (2018). Pollen Tube Pathway-Mediated Cotton Transformation. Methods in molecular biology. 1902. 67–73. 14 indexed citations
10.
Wang, Min, Runrun Sun, Qinglian Wang, & Baohong Zhang. (2018). Overexpression of miRNA in Cotton via Agrobacterium-Mediated Transformation. Methods in molecular biology. 223–231. 2 indexed citations
11.
Wang, Min, Runrun Sun, Chao Li, Qinglian Wang, & Baohong Zhang. (2017). MicroRNA expression profiles during cotton (Gossypium hirsutum L) fiber early development. Scientific Reports. 7(1). 44454–44454. 31 indexed citations
12.
Sun, Runrun, Chengqi Li, Fei Li, et al.. (2017). Differential expression of microRNAs during fiber development between fuzzless-lintless mutant and its wild-type allotetraploid cotton. Scientific Reports. 7(1). 3–3. 120 indexed citations
13.
Xie, Fuliang, Don C. Jones, Qinglian Wang, Runrun Sun, & Baohong Zhang. (2015). Small RNA sequencing identifies miRNA roles in ovule and fibre development. Plant Biotechnology Journal. 13(3). 355–369. 93 indexed citations
14.
Sun, Runrun, Qiuling He, Baohong Zhang, & Qinglian Wang. (2015). Selection and validation of reliable reference genes in Gossypium raimondii. Biotechnology Letters. 37(7). 1483–1493. 13 indexed citations
15.
Sun, Runrun, Kunbo Wang, Tenglong Guo, et al.. (2015). Genome-wide identification of auxin response factor (ARF) genes and its tissue-specific prominent expression in Gossypium raimondii. Functional & Integrative Genomics. 15(4). 481–493. 39 indexed citations
16.
Ma, Jun, Tenglong Guo, Qinglian Wang, et al.. (2015). Expression profiles of miRNAs in Gossypium raimondii. Journal of Zhejiang University SCIENCE B. 16(4). 296–303. 10 indexed citations
17.
Xie, Fuliang, Qinglian Wang, Runrun Sun, & Baohong Zhang. (2014). Deep sequencing reveals important roles of microRNAs in response to drought and salinity stress in cotton. Journal of Experimental Botany. 66(3). 789–804. 188 indexed citations
18.
Ma, Jun, Qinglian Wang, Runrun Sun, et al.. (2014). Genome-wide identification and expression analysis of TCP transcription factors in Gossypium raimondii. Scientific Reports. 4(1). 6645–6645. 80 indexed citations
19.
Zhang, Zhiyong, Sufang Wang, Xin Zhang, et al.. (2014). Xylem sap in cotton contains proteins that contribute to environmental stress response and cell wall development. Functional & Integrative Genomics. 15(1). 17–26. 38 indexed citations
20.
Sun, Runrun, Qinglian Wang, Jun Ma, Qiuling He, & Baohong Zhang. (2014). Differentiated expression of microRNAs may regulate genotype-dependent traits in cotton. Gene. 547(2). 233–238. 16 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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