Junling Liu

932 citations
74 papers · 740 · h-index 14

Impact in

Papers in

Junling Liu

72 papers receiving 728 citations

Peers

Junling Liu
Comparison fields: 5 of 103
  • Complementary and alternative medicine 284
  • Physiology 232
  • Pharmacology 105
  • Cognitive Neuroscience 91
  • Filtration and Separation 8
Replace Shih‐Liang Chang with:
Shih‐Liang Chang Taiwan
Weimin Li China
Chang-Joong Kang South Korea
Shuyong Jia China
Ji Hwan Lee South Korea
Lida Du China
Kengo Hamamura Japan
Jun-Hong Gao China
Hamid Reza Sameni Iran
Junling Liu relative to Shih‐Liang Chang Taiwan Shih‐Liang Chang's profile →
Citations per field
00.5×3.5×
Shih‐Liang Chang · 1×
Citations per year

Countries citing papers authored by Junling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junling Liu, 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 Junling Liu Line = papers co-authored together Junling Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201445
3 201745
4 201739
5 201735
6 201834
7 201325
8 201523
9 201022
10 201619
11 201317
12 201217
13 201516
14 201615
15 202313
16 201213
17 201212
18 200812
19 201612
20 202211

About Junling Liu

Junling Liu is a scholar working on Complementary and alternative medicine, Physiology, Pharmacology, Molecular Biology and Cell Biology, having authored 74 papers that have together received 740 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (20 papers), Pain Mechanisms and Treatments (11 papers), Healthcare and Venom Research (7 papers), Traditional Chinese Medicine Studies (4 papers), Lysosomal Storage Disorders Research (4 papers), Analytical Chemistry and Chromatography (3 papers), Myofascial pain diagnosis and treatment (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Complementary and alternative medicine (284 citations), Physiology (232 citations), Pharmacology (105 citations), Cognitive Neuroscience (91 citations) and Filtration and Separation (8 citations). Junling Liu has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Shuping Chen, Yonghui Gao, Junying Wang, Lina Qiao, Fengli Chen, Lei Yang, Fanying Meng, Jianliang Zhang, Qiuling Xu and Shubin Wang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, BMC Complementary and Alternative Medicine, Chinese Journal of Integrative Medicine, Journal of Biotechnology and Acta Physico-Chimica Sinica.

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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