Liying Dong

4.0k total citations · 1 hit paper
49 papers, 2.6k citations indexed

About

Liying Dong is a scholar working on Molecular Biology, Water Science and Technology and Obstetrics and Gynecology. According to data from OpenAlex, Liying Dong has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Water Science and Technology and 5 papers in Obstetrics and Gynecology. Recurrent topics in Liying Dong's work include Adsorption and biosorption for pollutant removal (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Pain Mechanisms and Treatments (5 papers). Liying Dong is often cited by papers focused on Adsorption and biosorption for pollutant removal (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Pain Mechanisms and Treatments (5 papers). Liying Dong collaborates with scholars based in China, Germany and United States. Liying Dong's co-authors include Jianjun Gao, Shasha Hu, Xin Bai, Jinsong Liang, Jens Schneider‐Mergener, Yu Jin, Juanjuan Qu, Mike Schutkowski, Ulf Reimer and Sumei Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Liying Dong

47 papers receiving 2.5k citations

Hit Papers

Discovering drugs to treat coronavirus disease 2019 (COVI... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liying Dong China 24 838 735 330 258 215 49 2.6k
Chunli Song China 28 1.7k 2.1× 1.7k 2.3× 223 0.7× 205 0.8× 316 1.5× 125 4.5k
Graham S. Timmins United States 33 1.6k 1.9× 817 1.1× 216 0.7× 89 0.3× 486 2.3× 92 4.3k
Jingjing Wang China 29 879 1.0× 310 0.4× 107 0.3× 467 1.8× 313 1.5× 173 3.2k
Feng Jiang China 40 3.1k 3.7× 326 0.4× 123 0.4× 204 0.8× 453 2.1× 215 5.9k
Pramod Avti India 27 537 0.6× 717 1.0× 48 0.1× 194 0.8× 68 0.3× 103 2.5k
Lili Chen China 38 1.2k 1.4× 270 0.4× 133 0.4× 66 0.3× 620 2.9× 128 4.1k
Lijuan Gao China 20 469 0.6× 473 0.6× 80 0.2× 72 0.3× 101 0.5× 94 1.7k
Yang Zhou China 32 1.2k 1.4× 406 0.6× 36 0.1× 452 1.8× 126 0.6× 157 3.0k
Qianqian Li China 33 1.4k 1.7× 2.7k 3.6× 32 0.1× 243 0.9× 407 1.9× 164 4.6k
Lili Fu China 17 225 0.3× 730 1.0× 161 0.5× 118 0.5× 96 0.4× 56 1.6k

Countries citing papers authored by Liying Dong

Since Specialization
Citations

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

Fields of papers citing papers by Liying Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liying Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Liying Dong. A scholar is included among the top collaborators of Liying Dong 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 Liying Dong. Liying Dong 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.
Dong, Liying, Yun He, & Zun‐Ting Zhang. (2024). Determination of End Point in Benzoic Acid Crystallization via Laser Irradiation. Journal of Chemical Education. 101(9). 3917–3921.
2.
Taylor, Hugh S., Liying Dong, Peter Oppelt, et al.. (2024). Vilaprisan for the treatment of symptomatic endometriosis: results from a terminated phase 2b randomized controlled trial. F&S Reports. 5(2). 189–196. 1 indexed citations
3.
Zhou, Ping, et al.. (2024). Inhibition of TTX-S Na+ currents by a novel blocker QLS-278 for antinociception. Journal of Pharmacology and Experimental Therapeutics. 392(2). 100030–100030. 1 indexed citations
4.
Dong, Liying, et al.. (2023). Design, synthesis, and biological evaluation of acyl sulfonamide derivatives with spiro cycles as NaV1.7 inhibitors for antinociception. Bioorganic & Medicinal Chemistry. 86. 117290–117290. 5 indexed citations
5.
Liu, Yani, Liying Dong, Huijie Liu, et al.. (2021). Inhibition of Nav1.7 channel by a novel blocker QLS-81 for alleviation of neuropathic pain. Acta Pharmacologica Sinica. 42(8). 1235–1247. 13 indexed citations
7.
Bai, Xin, Xing Zeng, Siqi Huang, et al.. (2019). Marginal impact of cropping BADH transgenic maize BZ-136 on chemical property, enzyme activity, and bacterial community diversity of rhizosphere soil. Plant and Soil. 436(1-2). 527–541. 14 indexed citations
8.
Sun, Xujie, Liying Dong, Tao Chen, et al.. (2019). Pooled analysis of efficacy and safety of ureteral stent removal using an extraction string. Medicine. 98(37). e17169–e17169. 5 indexed citations
9.
Liu, Yani, et al.. (2019). Electrophysiological characterization of a small molecule activator on human ether-a-go-go-related gene (hERG) potassium channel. Journal of Pharmacological Sciences. 140(3). 284–290. 8 indexed citations
10.
Yu, Qi, Shulan Zhang, Huajun Li, et al.. (2018). Dienogest for Treatment of Endometriosis in Women: A 28-Week, Open-Label, Extension Study. Journal of Women s Health. 28(2). 170–177. 17 indexed citations
11.
Hu, Yang, Chunying Teng, Sumei Yu, et al.. (2017). Inonotus obliquus polysaccharide regulates gut microbiota of chronic pancreatitis in mice. AMB Express. 7(1). 39–39. 46 indexed citations
12.
Yu, Sumei, Chunying Teng, Xin Bai, et al.. (2017). Optimization of Siderophore Production by Bacillus sp. PZ-1 and Its Potential Enhancement of Phytoextration of Pb from Soi. Journal of Microbiology and Biotechnology. 27(8). 1500–1512. 55 indexed citations
13.
Jin, Yu, Sumei Yu, Chunying Teng, et al.. (2017). Biosorption characteristic of Alcaligenes sp. BAPb.1 for removal of lead(II) from aqueous solution. 3 Biotech. 7(2). 123–123. 32 indexed citations
14.
Boisguérin, Prisca, Bernhard Aÿ, Gerald Radziwill, et al.. (2004). An Improved Method for the Synthesis of Cellulose Membrane-Bound Peptides with Free C Termini Is Useful for PDZ Domain Binding Studies. Chemistry & Biology. 11(4). 449–459. 71 indexed citations
15.
Dong, Liying, et al.. (2004). Profiling of generic anti-phosphopeptide antibodies and kinases with peptide microarrays using radioactive and fluorescence-based assays. Molecular Diversity. 8(3). 291–299. 48 indexed citations
16.
Schutkowski, Mike, Ulf Reimer, Liying Dong, et al.. (2004). High‐Content Peptide Microarrays for Deciphering Kinase Specificity and Biology. Angewandte Chemie International Edition. 43(20). 2671–2674. 81 indexed citations
17.
Rychlewski, Leszek, Maik Kschischo, Liying Dong, Mike Schutkowski, & Ulf Reimer. (2004). Target Specificity Analysis of the Abl Kinase using Peptide Microarray Data. Journal of Molecular Biology. 336(2). 307–311. 58 indexed citations
18.
Dong, Liying, Martin Hülsmeyer, Horst Dürkop, et al.. (2003). Human CD30: Structural implications from epitope mapping and modeling studies. Journal of Molecular Recognition. 16(1). 28–36. 19 indexed citations
19.
Patzelt, Holger, Stefan Rüdiger, Dirk Brehmer, et al.. (2001). Binding specificity of Escherichia coli trigger factor. Proceedings of the National Academy of Sciences. 98(25). 14244–14249. 146 indexed citations
20.
Kramer, Achim, Ulrich Reineke, Liying Dong, et al.. (1999). Spot synthesis: observations and optimizations. Journal of Peptide Research. 54(4). 319–326. 110 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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