Xiao‐chun Liang

1.3k citations
52 papers · 957 · h-index 18

Impact in

Papers in

    • Pain Mechanisms and Treatments 20
    • Biochemical effects in animals 3
    • Pharmacological Effects of Natural Compounds 9
    • Healthcare and Venom Research 5

Xiao‐chun Liang

50 papers receiving 951 citations

Peers

Xiao‐chun Liang
Comparison fields: 5 of 109
  • Complementary and alternative medicine 166
  • Pharmacology 175
  • Physiology 320
  • Biochemistry 68
  • Geriatrics and Gerontology 36
Replace Siva Reddy Challa with:
Siva Reddy Challa India
Lvyi Chen China
Ke Fang China
Huali Xu China
Adriano Cressoni Araújo Brazil
Sílvia Llorens Spain
Marjan Talebi Iran
Mariane G. Tadros Egypt
Hui‐Kang Liu Taiwan
Yogeeta O. Agrawal India
Xiao‐chun Liang relative to Siva Reddy Challa India Siva Reddy Challa's profile →
Citations per field
00.5×1.5×1.9×
Siva Reddy Challa · 1×
Citations per year

Countries citing papers authored by Xiao‐chun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐chun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐chun Liang. 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 Xiao‐chun Liang. The network helps show where Xiao‐chun Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiao‐chun Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiao‐chun Liang Line = papers co-authored together Xiao‐chun Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201376
3 201470
4 202167
5 201858
6 202144
7 201536
8 201934
9 201932
10 201229
11 201927
12 201626
13 200225
14 201524
15 201722
16 202020
17 202019
18 201517
19 200816
20 201816

About Xiao‐chun Liang

Xiao‐chun Liang is a scholar working on Physiology, Pharmacology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 957 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (20 papers), Pharmacological Effects of Natural Compounds (9 papers), Nerve injury and regeneration (7 papers), Acupuncture Treatment Research Studies (6 papers), Healthcare and Venom Research (5 papers), Ginseng Biological Effects and Applications (4 papers), Calpain Protease Function and Regulation (4 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Complementary and alternative medicine (166 citations), Pharmacology (175 citations), Physiology (320 citations), Biochemistry (68 citations) and Geriatrics and Gerontology (36 citations). Xiao‐chun Liang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qunli Wu, Yue Shi, Ling Qu, Jun Xie, Wei Song, Xiaohu Shi, Qing Sun, Qing Sun, Qian Zhang and Qian Zhang. Their work appears in journals such as Chinese Journal of Integrative Medicine, Frontiers in Pharmacology, Phytomedicine, Evidence-based Complementary and Alternative Medicine and Neurochemical Research.

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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