Yanling Mu

445 citations
24 papers · 336 · h-index 10

Impact in

    • Glycosylation and Glycoproteins Research
    • Natural product bioactivities and synthesis
    • Phytochemical Studies and Bioactivities
    • Metabolism, Diabetes, and Cancer

Papers in

Yanling Mu

24 papers receiving 328 citations

Peers

Yanling Mu
Comparison fields: 5 of 80
  • Toxicology 10
  • Molecular Biology 171
  • Gastroenterology 11
  • Pharmacology 18
  • Biochemistry 12
Replace Xuemei Liu with:
Xuemei Liu China
Zhe Gao China
Fang Yao China
Veronika Siegl Austria
Li Hua Zheng China
Dehua Jiang China
Haitong Wan China
Jinshui Zhu China
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Citations per field
00.5×2.8×
Xuemei Liu · 1×
Citations per year

Countries citing papers authored by Yanling Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanling Mu, 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 Yanling Mu Line = papers co-authored together Yanling Mu 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 200956
2 201347
3 201539
4 202032
5 201826
6 202423
7 201821
8 202318
9 202416
10 201810
11 20199
12 20177
13 20096
14 20186
15 20165
16 20233
17 20163
18
Papaverine inhibits lipopolysaccharide-induced microglial activation by suppressing NF-κB signaling pathway
20162
19 20232
20
Mannan-Binding Lectin Regulates the Th17/Treg Axis Through JAK/STAT and TGF-β/SMAD Signaling Against Candida albicans Infection
20221

About Yanling Mu

Yanling Mu is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Complementary and alternative medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (5 papers), Phytochemical Studies and Bioactivities (5 papers), Traditional Chinese Medicine Analysis (3 papers), Phytochemistry and Biological Activities (2 papers), Advances in Cucurbitaceae Research (2 papers), Metal complexes synthesis and properties (2 papers), Alkaloids: synthesis and pharmacology (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Toxicology (10 citations), Molecular Biology (171 citations), Gastroenterology (11 citations), Pharmacology (18 citations) and Biochemistry (12 citations). Yanling Mu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Fengling Wang, Shu‐Xiang Cui, Xian‐Jun Qu, Jingjing Liu, Wei Tang, Kazuo Koike, Wei Li, Hong Bai, Yuichiro Kanno and Yoshio Inouye. Their work appears in journals such as Journal of Asian Natural Products Research, Royal Society Open Science, ACS Applied Materials & Interfaces, Regulatory Toxicology and Pharmacology and New Journal of Chemistry.

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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