Li-Hong Kong

481 citations
30 papers · 375 indexed · h-index 12
Topics
Acupuncture Treatment Research Studies (16 papers)Traditional Chinese Medicine Studies (7 papers)Biochemical effects in animals (6 papers)
Journals
SHILAP Revista de lepidopterologíaMedicineFrontiers in Neuroscience
Partner nations
ChinaSouth Korea

In The Last Decade

Li-Hong Kong

30 papers receiving 371 citations

Peers

Li-Hong Kong
Comparison fields: 5 of 67
  • Complementary and alternative medicine 197
  • Physiology 147
  • Molecular Biology 114
  • Neurology 88
  • Pharmacology 52
Replace Eun Jin Yang with:
Eun Jin Yang South Korea
Yinshan Tang China
Minguang Yang China
Malk Eun Pak South Korea
Fengying Liang China
Baomin Dou China
Yaling Dai China
Reza Gharakhanlou Iran
Xiao‐Peng Mei China
Peiyuan Lv China
Li-Hong Kong relative to Eun Jin Yang South Korea Eun Jin Yang's profile →
Citations per field
00.5×1.5×2.0×
Eun Jin Yang · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 11
3 6
4 18
5 32
6 8
7 1
8 4
9 3
10 3
11 34
12 20
13 39
14 6
15 5
16 27
17 9
18 16
19 9
20
[Protective mechanism of acupuncture-moxibustion on hippocampal neuron mitochondria in rats with Alzheimer's disease].
3

About Li-Hong Kong

Li-Hong Kong is a scholar working on Complementary and alternative medicine, Biological Psychiatry and Neurology, having authored 30 papers that have together received 375 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (16 papers), Traditional Chinese Medicine Studies (7 papers) and Biochemical effects in animals (6 papers). The work is most often cited by research in Complementary and alternative medicine (197 citations), Biological Psychiatry (52 citations) and Neurology (88 citations). Li-Hong Kong has collaborated with scholars based in China and South Korea. Frequent co-authors include Chao-Chao Yu, Yanjun Du, Hua Zhou, Miao Wu, Feng Shen, Guojie Sun, Xuesong Wang, Yawen Wang, Chaoyang Ma and Tao Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and Frontiers in Neuroscience.

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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