Ling Kong

3.9k total citations · 1 hit paper
51 papers, 2.9k citations indexed

About

Ling Kong is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Ling Kong has authored 51 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Complementary and alternative medicine and 11 papers in Pharmacology. Recurrent topics in Ling Kong's work include Metabolomics and Mass Spectrometry Studies (16 papers), Traditional Chinese Medicine Analysis (10 papers) and Pharmacological Effects of Natural Compounds (9 papers). Ling Kong is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Traditional Chinese Medicine Analysis (10 papers) and Pharmacological Effects of Natural Compounds (9 papers). Ling Kong collaborates with scholars based in China, Macao and Hong Kong. Ling Kong's co-authors include Xijun Wang, Aihua Zhang, Edward Ng, Chao Yuan, Kevin Ka‐Lun Lau, Hui Sun, Tobi Eniolu Morakinyo, Ying Han, Junling Ren and Xin Zhang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Chemosphere.

In The Last Decade

Ling Kong

48 papers receiving 2.8k citations

Hit Papers

A study on the impact of shadow-cast and tree species on ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Kong China 29 1.1k 579 483 440 380 51 2.9k
Xiang Zhang United States 40 2.7k 2.4× 143 0.2× 345 0.7× 105 0.2× 205 0.5× 169 5.3k
Zhongbing Lu China 37 1.4k 1.2× 78 0.1× 487 1.0× 132 0.3× 92 0.2× 74 3.8k
Mei Wang China 33 1.9k 1.7× 77 0.1× 590 1.2× 172 0.4× 117 0.3× 134 6.0k
Arne Wick Germany 38 1.1k 1.0× 263 0.5× 1.4k 2.8× 38 0.1× 62 0.2× 129 5.3k
Wenjun Ding China 36 1.1k 1.0× 365 0.6× 1.7k 3.6× 73 0.2× 78 0.2× 104 4.3k
Ying He China 37 1.6k 1.5× 94 0.2× 53 0.1× 63 0.1× 36 0.1× 138 4.9k
Hui Yan China 33 1.2k 1.0× 64 0.1× 48 0.1× 536 1.2× 334 0.9× 168 3.2k
Kyu Hyuck Chung South Korea 28 767 0.7× 164 0.3× 1.1k 2.2× 155 0.4× 85 0.2× 118 3.3k
Jia Li China 38 2.1k 1.8× 35 0.1× 311 0.6× 170 0.4× 189 0.5× 161 4.8k

Countries citing papers authored by Ling Kong

Since Specialization
Citations

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

Fields of papers citing papers by Ling Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Kong. A scholar is included among the top collaborators of Ling Kong 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 Kong. Ling Kong 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.
Liu, Lei, Lin Bai, Le Yang, et al.. (2025). Nuclear Magnetic Resonance Based Metabolomics—A Rising Star in Traditional Chinese Medicine Research. Pharmaceuticals. 18(8). 1186–1186.
2.
Wang, Mengmeng, Ling Kong, Le Yang, et al.. (2024). Chinmedomics: a potent tool for the evaluation of traditional Chinese medicine efficacy and identification of its active components. Chinese Medicine. 19(1). 47–47. 20 indexed citations
3.
Chen, Yinan, Changqing Liu, Jin Zhang, et al.. (2024). Cold atmospheric‐pressure plasma selectively inhibits glioblastoma via DNA damage and AKT dephosphorylation in vitro and in vivo. Plasma Processes and Polymers. 21(5). 4 indexed citations
4.
Liu, Changqing, Tao Sun, Ling Kong, et al.. (2024). Cold atmospheric plasma attenuates skin cancer via ROS induced apoptosis. Molecular Biology Reports. 51(1). 518–518. 3 indexed citations
5.
Fu, Yuqi, Le Yang, Lei Liu, et al.. (2024). Rhein: An Updated Review Concerning Its Biological Activity, Pharmacokinetics, Structure Optimization, and Future Pharmaceutical Applications. Pharmaceuticals. 17(12). 1665–1665. 6 indexed citations
6.
Li, Jing, Xinghua Li, Xiaohang Zhou, et al.. (2023). In Vivo Metabolite Profiling of DMU-212 in ApcMin/+ Mice Using UHPLC-Q/Orbitrap/LTQ MS. Molecules. 28(9). 3828–3828. 2 indexed citations
7.
Yu, Yang, Zhe Chen, Guangli Yan, et al.. (2023). Mass spectrum oriented metabolomics for evaluating the efficacy and discovering the metabolic mechanism of Naoling Pian for insomnia. Journal of Pharmaceutical and Biomedical Analysis. 236. 115756–115756. 5 indexed citations
8.
Yang, Le, et al.. (2023). TCM and related active compounds in the treatment of gout: the regulation of signaling pathway and urate transporter. Frontiers in Pharmacology. 14. 1275974–1275974. 19 indexed citations
9.
Wang, Anlai, Ke Zhang, Joshua R. Hummel, et al.. (2022). Discovery of Pyrazolopyridine Derivatives as HPK1 Inhibitors. ACS Medicinal Chemistry Letters. 14(1). 5–10. 8 indexed citations
10.
Kong, Ling, et al.. (2022). Chinmedomics Strategy for Elucidating the Pharmacological Effects and Discovering Bioactive Compounds From Keluoxin Against Diabetic Retinopathy. Frontiers in Pharmacology. 13. 728256–728256. 20 indexed citations
12.
Zhang, Aihua, Jingbo Yu, Hui Sun, et al.. (2018). High-throughput lipidomics characterize key lipid molecules as potential therapeutic targets of Kaixinsan protects against Alzheimer's disease in APP/PS1 transgenic mice. Journal of Chromatography B. 1092. 286–295. 42 indexed citations
14.
Wang, Xijun, Aihua Zhang, Ling Kong, et al.. (2017). Rapid discovery of quality-markers from Kaixin San using chinmedomics analysis approach. Phytomedicine. 54. 371–381. 42 indexed citations
15.
Chu, Hang, Aihua Zhang, Ying Han, et al.. (2016). Metabolomics approach to explore the effects of Kai-Xin-San on Alzheimer’s disease using UPLC/ESI-Q-TOF mass spectrometry. Journal of Chromatography B. 1015-1016. 50–61. 99 indexed citations
16.
Kong, Ling, et al.. (2013). Carbon emission and sequestration of urban turfgrass systems in Hong Kong. The Science of The Total Environment. 473-474. 132–138. 55 indexed citations
17.
Wang, Ying, et al.. (2004). Administration of Procyanidins from Grape Seeds Reduces Serum Uric Acid Levels and Decreases Hepatic Xanthine Dehydrogenase/Oxidase Activities in Oxonate‐Treated Mice. Basic & Clinical Pharmacology & Toxicology. 94(5). 232–237. 73 indexed citations
18.
Kong, Ling, et al.. (2004). A Chinese herbal medicine Ermiao wan reduces serum uric acid level and inhibits liver xanthine dehydrogenase and xanthine oxidase in mice. Journal of Ethnopharmacology. 93(2-3). 325–330. 97 indexed citations
19.
Kong, Ling, Ren Xiang Tan, Anthony Yiu‐Ho Woo, & Christopher H.K. Cheng. (2001). Inhibition of Rat Brain Monoamine Oxidase Activities by Psoralen and Isopsoralen: Implications for the Treatment of Affective Disorders. Pharmacology & Toxicology. 88(2). 75–80. 39 indexed citations
20.
Kong, Ling, Ren Xiang Tan, Anthony Yiu‐Ho Woo, & Christopher H.K. Cheng. (2001). Inhibition of Rat Brain Monoamine Oxidase Activities by Psoralen and Isopsoralen: Implications for the Treatment of Affective Disorders. Pharmacology & Toxicology. 88(2). 75–80. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026