Ling Shen

995 total citations
10 papers, 232 citations indexed

About

Ling Shen is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ling Shen has authored 10 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ling Shen's work include Receptor Mechanisms and Signaling (5 papers), Cannabis and Cannabinoid Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Ling Shen is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Cannabis and Cannabinoid Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Ling Shen collaborates with scholars based in China, United States and Australia. Ling Shen's co-authors include Zhi‐Jie Liu, Tian Hua, Xiaoting Li, Raymond C. Stevens, Yao Peng, Vadim Cherezov, Vsevolod Katritch, Petr Popov, Xiaoyan Wang and Yongze Li and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and Trends in Pharmacological Sciences.

In The Last Decade

Ling Shen

9 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Shen China	7	157	59	49	26	24	10	232
Ji Young Lee United States	11	375 2.4×	113 1.9×	26 0.5×	26 1.0×	86 3.6×	22	499
Saketh Chemuru United States	7	240 1.5×	30 0.5×	22 0.4×	8 0.3×	39 1.6×	9	353
Ming-Yue Lee United States	9	347 2.2×	136 2.3×	65 1.3×	33 1.3×	20 0.8×	12	417
Martin Pfeifer Switzerland	7	187 1.2×	41 0.7×	22 0.4×	15 0.6×	35 1.5×	9	251
Philipp Aschauer Austria	7	204 1.3×	64 1.1×	33 0.7×	20 0.8×	9 0.4×	10	260
Timothy D. McKee United States	13	369 2.4×	103 1.7×	85 1.7×	12 0.5×	69 2.9×	20	506
Maozi Chen United States	10	228 1.5×	102 1.7×	106 2.2×	27 1.0×	100 4.2×	17	391
Noureldin Saleh Germany	11	302 1.9×	109 1.8×	48 1.0×	45 1.7×	62 2.6×	20	376
Hemlata Dwivedi India	10	213 1.4×	100 1.7×	7 0.1×	56 2.2×	53 2.2×	14	334

Countries citing papers authored by Ling Shen

Since Specialization

Citations

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

Fields of papers citing papers by Ling Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Shen. A scholar is included among the top collaborators of Ling Shen 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 Ling Shen. Ling Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Jiang, Yao, Wei Li, Ling Shen, et al.. (2025). Scutellarin prevents obesity-induced renal fibrosis via reduced activation of AP-1. Journal of Translational Medicine. 23(1). 611–611.

2.

Li, Xiaoting, Ling Shen, Junlin Liu, et al.. (2022). Heterologous Expression and Purification of GPCRs. Methods in molecular biology. 2507. 295–312. 1 indexed citations

3.

Liu, Kaiwen, Ling Shen, Meng Wu, Zhi‐Jie Liu, & Tian Hua. (2021). Structural insights into the activation of chemokine receptor CXCR2. FEBS Journal. 289(2). 386–393. 12 indexed citations

4.

Gupta, Sneha, Valerie A. Clausen, Jing Li, et al.. (2021). Clinical and Preclinical Single-Dose Pharmacokinetics of VIR-2218, an RNAi Therapeutic Targeting HBV Infection. Drugs in R&D. 21(4). 455–465. 19 indexed citations

5.

Shen, Ling, Xiaoting Li, Junlin Liu, et al.. (2021). Protocol for crystal structure determination of the antagonist-bound human cannabinoid receptor CB2. STAR Protocols. 2(2). 100584–100584. 1 indexed citations

6.

Wang, Xiaoyan, Dongsheng Liu, Ling Shen, et al.. (2021). A Genetically Encoded F-19 NMR Probe Reveals the Allosteric Modulation Mechanism of Cannabinoid Receptor 1. Journal of the American Chemical Society. 143(40). 16320–16325. 62 indexed citations

7.

Li, Xiaoting, Ling Shen, Tian Hua, & Zhi‐Jie Liu. (2020). Structural and Functional Insights into Cannabinoid Receptors. Trends in Pharmacological Sciences. 41(9). 665–677. 42 indexed citations

8.

Peng, Yao, Simeng Zhao, Yiran Wu, et al.. (2018). Identification of natural products as novel ligands for the human 5-HT2C receptor. Biophysics Reports. 4(1). 50–61. 24 indexed citations

9.

Popov, Petr, Yao Peng, Ling Shen, et al.. (2018). Computational design of thermostabilizing point mutations for G protein-coupled receptors. eLife. 7. 55 indexed citations

10.

Silva, Melissa Da, et al.. (2006). Predicted function of the vaccinia virus G5R protein. Bioinformatics. 22(23). 2846–2850. 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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