Qiling Song

1.2k total citations · 1 hit paper
32 papers, 982 citations indexed

About

Qiling Song is a scholar working on Molecular Biology, Plant Science and Hematology. According to data from OpenAlex, Qiling Song has authored 32 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Plant Science and 7 papers in Hematology. Recurrent topics in Qiling Song's work include Plant biochemistry and biosynthesis (9 papers), Plant Reproductive Biology (8 papers) and Plant Gene Expression Analysis (7 papers). Qiling Song is often cited by papers focused on Plant biochemistry and biosynthesis (9 papers), Plant Reproductive Biology (8 papers) and Plant Gene Expression Analysis (7 papers). Qiling Song collaborates with scholars based in China and United States. Qiling Song's co-authors include Weihong Qiao, Chun‐Yu Liu, Weihe Yao, Meng Tian, Guozhen Sun, Chenyu Liu, Ning Wang, Hailiang Chen, Wenfang Gong and Xia Liu and has published in prestigious journals such as Biomaterials, Journal of Agricultural and Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Qiling Song

31 papers receiving 972 citations

Hit Papers

A highly efficient, in situ wet-adhesive dextran derivati... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiling Song China 15 337 315 256 239 223 32 982
Zhengshan Luo China 18 506 1.5× 55 0.2× 86 0.3× 114 0.5× 88 0.4× 44 897
Mingneng Liao China 10 115 0.3× 32 0.1× 53 0.2× 184 0.8× 34 0.2× 21 564
Wanshun Liu China 23 522 1.5× 22 0.1× 29 0.1× 361 1.5× 39 0.2× 42 1.1k
Pankaj Jagdale India 14 132 0.4× 14 0.0× 67 0.3× 145 0.6× 147 0.7× 25 636
Bibhas K. Bhunia India 16 72 0.2× 14 0.0× 84 0.3× 270 1.1× 42 0.2× 29 731
Karol Švík Slovakia 16 180 0.5× 15 0.0× 44 0.2× 133 0.6× 63 0.3× 52 688
Alexandra Gaspar‐Pintiliescu Romania 13 139 0.4× 12 0.0× 74 0.3× 301 1.3× 198 0.9× 34 800
Huazhong Liu China 17 193 0.6× 18 0.1× 44 0.2× 81 0.3× 17 0.1× 56 815
Н. Н. Дрозд Russia 13 81 0.2× 38 0.1× 23 0.1× 225 0.9× 23 0.1× 55 530
Lianzhi Mao China 13 231 0.7× 14 0.0× 56 0.2× 110 0.5× 30 0.1× 22 559

Countries citing papers authored by Qiling Song

Since Specialization
Citations

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

Fields of papers citing papers by Qiling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiling Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qiling Song. A scholar is included among the top collaborators of Qiling Song 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 Qiling Song. Qiling Song 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, Mengmeng, Qiling Song, Chunyan Ma, et al.. (2024). Discovery of Daclatasvir as a potential PD-L1 inhibitor from drug repurposing. Bioorganic Chemistry. 153. 107874–107874. 1 indexed citations
2.
Xu, Jinming, et al.. (2024). Tannase increases fruit set by interfering with self-incompatibility of Camellia oleifera. Industrial Crops and Products. 210. 118189–118189. 3 indexed citations
3.
Li, Long, et al.. (2024). Cytological characteristics of blueberry fruit development. BMC Plant Biology. 24(1). 184–184. 7 indexed citations
4.
Xu, Jinming, et al.. (2023). Identification of reference genes provides insights into the determinants of self-incompatibility in Camellia oleifera. Scientia Horticulturae. 321. 112301–112301. 8 indexed citations
5.
Song, Qiling, et al.. (2023). Confusing finding of quantitative fluorescent polymerase chain reaction analysis in invasive prenatal genetic diagnosis: A case report. World Journal of Clinical Cases. 11(28). 6895–6901. 1 indexed citations
6.
Song, Qiling, et al.. (2023). Transcriptome and Anatomical Comparisons Reveal the Effects of Methyl Jasmonate on the Seed Development of Camellia oleifera. Journal of Agricultural and Food Chemistry. 71(17). 6747–6762. 10 indexed citations
7.
Ji, Ke, Qiling Song, Linkai Wang, et al.. (2022). Hormone analysis and candidate genes identification associated with seed size in Camellia oleifera. Royal Society Open Science. 9(3). 211138–211138. 5 indexed citations
8.
9.
Gong, Wenfang, et al.. (2022). Integration of semi-in vivo assays and multi-omics data reveals the effect of galloylated catechins on self-pollen tube inhibition in Camellia oleifera. Horticulture Research. 10(1). uhac248–uhac248. 15 indexed citations
10.
Song, Qiling, Cheng He, Ting Zhang, et al.. (2021). [Diagnostic Cut-Off Value of RDW for Screening Thalassemia and the Combined Determination of MCV, MCH, HBA 2 and RDW].. PubMed. 29(3). 847–852.
11.
Liu, Chun‐Yu, Chenyu Liu, Simiao Yu, et al.. (2020). Efficient antibacterial dextran-montmorillonite composite sponge for rapid hemostasis with wound healing. International Journal of Biological Macromolecules. 160. 1130–1143. 59 indexed citations
12.
Han, Jianmei, Fang Cheng, Xinglong Wang, et al.. (2020). Green preparation of hierarchically structured hemostatic epoxy-amine sponge. Chemical Engineering Journal. 397. 125445–125445. 34 indexed citations
13.
Gong, Wenfang, Qiling Song, Ke Ji, et al.. (2020). Full-Length Transcriptome from Camellia oleifera Seed Provides Insight into the Transcript Variants Involved in Oil Biosynthesis. Journal of Agricultural and Food Chemistry. 68(49). 14670–14683. 49 indexed citations
14.
Liu, Chun‐Yu, Xia Liu, Chenyu Liu, et al.. (2019). A highly efficient, in situ wet-adhesive dextran derivative sponge for rapid hemostasis. Biomaterials. 205. 23–37. 206 indexed citations breakdown →
15.
Song, Qiling, Shuiyuan Cheng, Zexiong Chen, et al.. (2019). Comparative transcriptome analysis revealing the potential mechanism of seed germination stimulated by exogenous gibberellin in Fraxinus hupehensis. BMC Plant Biology. 19(1). 199–199. 40 indexed citations
16.
Liu, Chun‐Yu, et al.. (2018). Mussel-inspired degradable antibacterial polydopamine/silica nanoparticle for rapid hemostasis. Biomaterials. 179. 83–95. 225 indexed citations
17.
Meng, Xiangxiang, Feng Xu, Qiling Song, et al.. (2018). Isolation, characterization and functional analysis of a novel 3-hydroxy-3-methylglutaryl-coenzyme A synthase gene (GbHMGS2) from Ginkgo biloba. Acta Physiologiae Plantarum. 40(4). 20 indexed citations
18.
Meng, Xiangxiang, Qiling Song, Jiabao Ye, Lanlan Wang, & Feng Xu. (2017). Characterization, Function, and Transcriptional Profiling Analysis of 3-Hydroxy-3-methylglutaryl-CoA Synthase Gene (GbHMGS1) towards Stresses and Exogenous Hormone Treatments in Ginkgo biloba. Molecules. 22(10). 1706–1706. 26 indexed citations
19.
Song, Qiling, Shisheng Wang, & Weijie Zhao. (2012). Total steroidal alkaloids from Veratrum patulum L. Inhibit platelet aggregation, thrombi formation and decrease bleeding time in rats. Journal of Ethnopharmacology. 141(1). 183–186. 14 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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