Junling Yang

574 citations
24 papers · 476 · h-index 13

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 6
    • Immune Response and Inflammation 5

Junling Yang

24 papers receiving 475 citations

Peers

Junling Yang
Comparison fields: 5 of 81
  • Neurology 56
  • Pharmacology 55
  • Complementary and alternative medicine 48
  • Reproductive Medicine 42
  • Cancer Research 59
Replace Xingang Lu with:
Xingang Lu China
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Е. Д. Гольдберг Russia
Zeyu Zhang China
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Junling Yang relative to Xingang Lu China Xingang Lu's profile →
Citations per field
00.5×10.5×
Xingang Lu · 1×
Citations per year

Countries citing papers authored by Junling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201146
3 202343
4 202041
5 201341
6 201236
7 202129
8 201628
9 200819
10 201619
11 201516
12 200915
13 200814
14 200812
15 200712
16 20109
17 20089
18 20088
19 20108
20 20106

About Junling Yang

Junling Yang is a scholar working on Neurology, Immunology, Molecular Biology, Oncology and Physiology, having authored 24 papers that have together received 476 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (5 papers), Cell Adhesion Molecules Research (4 papers), Pain Mechanisms and Treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Sperm and Testicular Function (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Neurology (56 citations), Pharmacology (55 citations), Complementary and alternative medicine (48 citations), Reproductive Medicine (42 citations) and Cancer Research (59 citations). Junling Yang has collaborated with scholars based in China and United States. Frequent co-authors include Min Yao, Dengfu Yao, Wei Niu, Li Wang, Wenjie Zheng, Wei Wu, Chun Cheng, Aiguo Shen, Feifei Du and Mengna Wu. Their work appears in journals such as Neurochemical Research, Acta Pharmacologica Sinica, Molecular and Cellular Biochemistry, Advanced Science and Biology of Reproduction.

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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