Junling Yang

4.4k citations
112 papers · 3.3k · h-index 34

Impact in

Papers in

Junling Yang

106 papers receiving 3.3k citations

Peers

Junling Yang
Comparison fields: 5 of 146
  • Pharmacology 434
  • Complementary and alternative medicine 334
  • Molecular Biology 1.4k
  • Cancer Research 288
  • Infectious Diseases 295
Replace Felix Stickel with:
Felix Stickel Switzerland
Chi‐Chen Lin Taiwan
Chang‐Duk Jun South Korea
Chang‐Chi Hsieh Taiwan
Yue Dai China
Sangkyu Lee South Korea
Tao Wen China
Yan Li China
Junling Yang relative to Felix Stickel Switzerland Felix Stickel's profile →
Citations per field
00.5×4.2×
Felix Stickel · 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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009321
2 2020240
3 2019143
4 2008113
5 202093
6 202078
7 201372
8 200870
9 201367
10 202265
11 201763
12 201158
13 202158
14 201958
15 201858
16 202157
17 201456
18 201151
19 201746
20 202146

About Junling Yang

Junling Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology, Cancer Research and Complementary and alternative medicine, having authored 112 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Traditional Chinese Medicine Analysis (8 papers), Pharmacological Effects of Natural Compounds (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Pharmacology (434 citations), Complementary and alternative medicine (334 citations), Molecular Biology (1.4k citations), Cancer Research (288 citations) and Infectious Diseases (295 citations). Junling Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feifei Du, Chuan Li, F. Xu, Wei Niu, Yühong Huang, Olajide E. Olaleye, Bingdi Yan, Yan Sun, Weiwei Jia and Xiumei Gao. Their work appears in journals such as Acta Pharmacologica Sinica, Drug Metabolism and Disposition, International Journal of Biological Macromolecules, Journal of Ethnopharmacology and Tumor Biology.

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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