Li-Hong Kong

481 total citations
30 papers, 375 citations indexed

About

Li-Hong Kong is a scholar working on Complementary and alternative medicine, Physiology and Molecular Biology. According to data from OpenAlex, Li-Hong Kong has authored 30 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Complementary and alternative medicine, 13 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Li-Hong Kong's work include Acupuncture Treatment Research Studies (16 papers), Traditional Chinese Medicine Studies (7 papers) and Biochemical effects in animals (6 papers). Li-Hong Kong is often cited by papers focused on Acupuncture Treatment Research Studies (16 papers), Traditional Chinese Medicine Studies (7 papers) and Biochemical effects in animals (6 papers). Li-Hong Kong collaborates with scholars based in China and South Korea. Li-Hong Kong's co-authors include Chao-Chao Yu, Yanjun Du, Hua Zhou, Feng Shen, Miao Wu, Xuesong Wang, Guojie Sun, Yawen Wang, Chaoyang Ma and Ying Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine and Frontiers in Neuroscience.

In The Last Decade

Li-Hong Kong

30 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Hong Kong China 12 197 147 114 88 52 30 375
Eun Jin Yang South Korea 10 174 0.9× 87 0.6× 117 1.0× 84 1.0× 47 0.9× 18 403
Yinshan Tang China 12 154 0.8× 119 0.8× 151 1.3× 99 1.1× 30 0.6× 27 420
Minguang Yang China 13 120 0.6× 81 0.6× 94 0.8× 88 1.0× 47 0.9× 35 370
Baomin Dou China 10 254 1.3× 89 0.6× 62 0.5× 75 0.9× 67 1.3× 19 438
Malk Eun Pak South Korea 12 69 0.4× 38 0.3× 68 0.6× 107 1.2× 28 0.5× 24 306
Zhanzhuang Tian China 12 103 0.5× 44 0.3× 84 0.7× 28 0.3× 37 0.7× 36 442
Fengying Liang China 7 40 0.2× 87 0.6× 109 1.0× 87 1.0× 26 0.5× 18 444
Yaling Dai China 8 41 0.2× 100 0.7× 87 0.8× 86 1.0× 29 0.6× 20 260
Reza Gharakhanlou Iran 11 36 0.2× 214 1.5× 114 1.0× 33 0.4× 44 0.8× 47 432
Yishan Lei China 13 24 0.1× 182 1.2× 90 0.8× 95 1.1× 49 0.9× 23 429

Countries citing papers authored by Li-Hong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Li-Hong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Hong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Hong Kong. A scholar is included among the top collaborators of Li-Hong 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 Li-Hong Kong. Li-Hong 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.
Wang, Xuesong, et al.. (2023). The gut-brain axis: Effect of electroacupuncture pretreatment on learning, memory, and JNK signaling in D-galactose-induced AD-like rats.. SHILAP Revista de lepidopterología. 26(5). 532–539. 4 indexed citations
2.
Yu, Chao-Chao, Jin Li, Yi Li, et al.. (2022). Neuroprotective Mechanisms of Puerarin in Central Nervous System Diseases: Update. Aging and Disease. 13(4). 1092–1092. 36 indexed citations
3.
Wang, Xuesong, et al.. (2021). Acupuncture and Related Therapies for the Cognitive Function of Alzheimer’s Disease: A Network Meta-Analysis. Iranian Journal of Public Health. 50(12). 2411–2426. 11 indexed citations
4.
Wang, Xuesong, et al.. (2020). Acupuncture and related therapies for hyperlipidemia. Medicine. 99(49). e23548–e23548. 6 indexed citations
5.
Yu, Chao-Chao, Shan Gao, Jia Li, et al.. (2020). Preventive Electroacupuncture Ameliorates D‐Galactose‐Induced Alzheimer’s Disease‐Like Pathology and Memory Deficits Probably via Inhibition of GSK3β/mTOR Signaling Pathway. Evidence-based Complementary and Alternative Medicine. 2020(1). 1428752–1428752. 18 indexed citations
6.
Yu, Chao-Chao, et al.. (2020). Experimental Evidence of the Benefits of Acupuncture for Alzheimer's Disease: An Updated Review. Frontiers in Neuroscience. 14. 549772–549772. 32 indexed citations
7.
Yu, Chao-Chao, et al.. (2020). Epigenetic Regulation of Amyloid-beta Metabolism in Alzheimer’s Disease. Current Medical Science. 40(6). 1022–1030. 8 indexed citations
8.
Zheng, Qing Yin, Li-Hong Kong, Chao-Chao Yu, et al.. (2020). [Effects of electroacupuncture on cognitive function and neuronal autophagy in rats with D-galactose induced Alzheimer's disease].. PubMed. 45(9). 689–95. 4 indexed citations
9.
Kong, Li-Hong, et al.. (2020). [Effect of electroacupuncture on cyclin-dependent kinase 5 and Tau protein in hippocampus of SAMP8 mice].. PubMed. 45(7). 529–34. 3 indexed citations
10.
Jiang, Tao, et al.. (2019). [Effect of pre-acupuncture at Neiguan (PC 6) and Zusanli (ST 36) on exercise-induced fatigue].. PubMed. 39(10). 1063–6. 3 indexed citations
11.
Yu, Chao-Chao, et al.. (2018). Effects of Acupuncture on Alzheimer’s Disease: Evidence from Neuroimaging Studies. Chinese Journal of Integrative Medicine. 25(8). 631–640. 34 indexed citations
12.
Kong, Li-Hong, et al.. (2018). Acupoint combinations used for treatment of Alzheimer's disease: A data mining analysis. Journal of Traditional Chinese Medicine. 38(6). 943–952. 20 indexed citations
13.
Kong, Li-Hong, Chao-Chao Yu, Ying Wang, et al.. (2018). High-frequency (50 Hz) electroacupuncture ameliorates cognitive impairment in rats with amyloid beta 1–42-induced Alzheimer's disease. Neural Regeneration Research. 13(10). 1833–1833. 39 indexed citations
14.
15.
Kong, Li-Hong, Wei Li, Feng Shen, et al.. (2016). High-frequency electroacupuncture evidently reinforces hippocampal synaptic transmission in Alzheimer′s disease rats. Neural Regeneration Research. 11(5). 801–801. 27 indexed citations
16.
Yu, Chao-Chao, Li-Hong Kong, Chaoyang Ma, et al.. (2016). The rules of acupoint-selection of acupuncture for polycystic ovary syndrome based on data mining. World Journal of Acupuncture - Moxibustion. 26(3). 73–78. 9 indexed citations
17.
Li, Xiaojuan, et al.. (2014). Moxibustion Activates Macrophage Autophagy and Protects Experimental Mice against Bacterial Infection. Evidence-based Complementary and Alternative Medicine. 2014(1). 9 indexed citations
18.
Sun, Guojie, Hua Zhou, Li-Hong Kong, et al.. (2014). Acupuncture and moxibustion reduces neuronal edema in Alzheimer′s disease rats. Neural Regeneration Research. 9(9). 968–968. 16 indexed citations
19.
Sun, Guojie, Lei Luo, Yanjun Du, & Li-Hong Kong. (2014). [Protective mechanism of acupuncture-moxibustion on hippocampal neuron mitochondria in rats with Alzheimer's disease].. PubMed. 34(2). 157–62. 3 indexed citations
20.
Zhang, Yaxi, et al.. (2004). Time-effect relationship of acupuncture in improving cardiac vegetative nerve function in patients with type II DM. Journal of Acupuncture and Tuina Science. 2(6). 27–28. 1 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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