Qingqing Lin

1.3k total citations
23 papers, 695 citations indexed

About

Qingqing Lin is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Qingqing Lin has authored 23 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Plant Science. Recurrent topics in Qingqing Lin's work include Lipid Membrane Structure and Behavior (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Sphingolipid Metabolism and Signaling (3 papers). Qingqing Lin is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Sphingolipid Metabolism and Signaling (3 papers). Qingqing Lin collaborates with scholars based in China, United States and Australia. Qingqing Lin's co-authors include Erwin London, Tobias C. Walther, Coline Prévost, Robert V. Farese, Nora Kory, Gregory A. Voth, Jinxing Lin, Geliang Wang, Yinong Xu and Honggang Wang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qingqing Lin

22 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingqing Lin China 12 470 152 146 85 68 23 695
G L Powell United States 14 491 1.0× 182 1.2× 360 2.5× 67 0.8× 45 0.7× 23 1.0k
Xiangxiang Zhang China 17 511 1.1× 22 0.1× 389 2.7× 99 1.2× 103 1.5× 56 1.0k
Meng‐Chiao Ho Taiwan 18 745 1.6× 39 0.3× 199 1.4× 49 0.6× 124 1.8× 36 1.0k
Tomomi Takeuchi United States 11 453 1.0× 70 0.5× 238 1.6× 38 0.4× 20 0.3× 20 867
María Luisa Peleato Spain 11 768 1.6× 33 0.2× 57 0.4× 36 0.4× 9 0.1× 18 979
Keiko Kubota Japan 16 695 1.5× 21 0.1× 456 3.1× 93 1.1× 21 0.3× 36 1.2k
Cindy Weitzman United States 7 819 1.7× 66 0.4× 147 1.0× 53 0.6× 202 3.0× 8 1.0k
Francisco Navarro Spain 24 1.1k 2.4× 30 0.2× 194 1.3× 68 0.8× 10 0.1× 60 1.3k
Kumiko Kondo Japan 13 676 1.4× 40 0.3× 105 0.7× 55 0.6× 34 0.5× 23 792
J. Kuchar United States 10 911 1.9× 128 0.8× 516 3.5× 206 2.4× 12 0.2× 13 1.4k

Countries citing papers authored by Qingqing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qingqing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqing Lin. A scholar is included among the top collaborators of Qingqing Lin 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 Qingqing Lin. Qingqing Lin 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.
Chen, Ying, Qingqing Lin, Dong Chen, et al.. (2025). Prognostic value of Day 14 measurable residual disease in acute myeloid leukemia treated with venetoclax and azacitidine. Cancer. 131(17). e70053–e70053.
2.
Lin, Qingqing, et al.. (2024). Secondary cytoreductive surgery in platinum-sensitive relapsed ovarian cancer: a meta-analysis of randomized controlled trials. Archives of Gynecology and Obstetrics. 311(2). 405–414. 1 indexed citations
3.
Li, Wenyi, Qin Fang, Hui Li, et al.. (2023). Transcriptome analysis reveals CsGSTU18 plays an important role in anthocyanin accumulation-induced tender shoot turning purple of tea plant (Camellia sinensis). Scientia Horticulturae. 311. 111832–111832. 7 indexed citations
4.
Lin, Qingqing, Wenyi Li, Mingle Wang, et al.. (2023). CsmiR396d targeting of <i>CsGS2</i> plays an important role in glutamine metabolism of tea plant (<i>Camellia sinensis</i>). SHILAP Revista de lepidopterología. 4(1). 0–0. 2 indexed citations
5.
Lin, Qingqing, et al.. (2021). Associations of preoperative serum high-density lipoprotein cholesterol and low-density lipoprotein cholesterol levels with the prognosis of ovarian cancer. Archives of Gynecology and Obstetrics. 305(3). 683–691. 11 indexed citations
6.
Kulkarni, Ketav, Tanesh D. Gamot, Harold A. Coleman, et al.. (2021). Esterase-Mediated Sustained Release of Peptide-Based Therapeutics from a Self-Assembled Injectable Hydrogel. ACS Applied Materials & Interfaces. 13(49). 58279–58290. 15 indexed citations
7.
Huang, Qiming, et al.. (2021). Knockdown of long non‐coding RNA small nucleolar RNA host gene 9 or hexokinase 2 both suppress endometrial cancer cell proliferation and glycolysis. Journal of obstetrics and gynaecology research. 47(6). 2196–2203. 7 indexed citations
8.
Liu, Wenchao, Qingqing Lin, Jing Jin, et al.. (2020). An association of low high-density lipoprotein levels with recurrence of chronic subdural hematoma. Acta Neurochirurgica. 163(4). 1061–1068. 8 indexed citations
9.
Lin, Qingqing, Haoyue Zhang, Zihan Shen, et al.. (2020). 1,3-Dichloroacetone: A Robust Reagent for Preparing Bicyclic Peptides. ACS Omega. 5(4). 1840–1850. 6 indexed citations
10.
Lin, Qingqing, et al.. (2020). PARP inhibitors as maintenance therapy in newly diagnosed advanced ovarian cancer: a meta‐analysis. BJOG An International Journal of Obstetrics & Gynaecology. 128(3). 485–493. 23 indexed citations
11.
12.
Prévost, Coline, Nora Kory, Qingqing Lin, et al.. (2018). Mechanism and Determinants of Amphipathic Helix-Containing Protein Targeting to Lipid Droplets. Developmental Cell. 44(1). 73–86.e4. 166 indexed citations
13.
Lin, Qingqing & Erwin London. (2015). Ordered Raft Domains Induced by Outer Leaflet Sphingomyelin in Cholesterol-Rich Asymmetric Vesicles. Biophysical Journal. 108(9). 2212–2222. 75 indexed citations
14.
Lin, Qingqing, Tong Wang, Huilin Li, & Erwin London. (2015). Decreasing Transmembrane Segment Length Greatly Decreases Perfringolysin O Pore Size. The Journal of Membrane Biology. 248(3). 517–527. 4 indexed citations
15.
Lin, Qingqing & Erwin London. (2014). Preparation of Artificial Plasma Membrane Mimicking Vesicles with Lipid Asymmetry. PLoS ONE. 9(1). e87903–e87903. 77 indexed citations
16.
Lin, Qingqing & Erwin London. (2014). The Influence of Natural Lipid Asymmetry upon the Conformation of a Membrane-inserted Protein (Perfringolysin O). Journal of Biological Chemistry. 289(9). 5467–5478. 29 indexed citations
17.
19.
Wang, Geliang, Qingqing Lin, & Yinong Xu. (2007). Tetraena mongolica Maxim can accumulate large amounts of triacylglycerol in phloem cells and xylem parenchyma of stems. Phytochemistry. 68(15). 2112–2117. 31 indexed citations
20.
Wu, Xiaoqin, Jinxing Lin, Qingqing Lin, Jian Wang, & Lukas Schreiber. (2005). Casparian Strips in Needles are More Solute Permeable than Endodermal Transport Barriers in Roots of Pinus bungeana. Plant and Cell Physiology. 46(11). 1799–1808. 27 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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