Liling Liu

478 citations
26 papers · 360 · h-index 10

Impact in

Papers in

    • TGF-β signaling in diseases 2
    • Bone Metabolism and Diseases 2
    • Melanoma and MAPK Pathways 1
    • Drug Transport and Resistance Mechanisms 4

Liling Liu

24 papers receiving 350 citations

Peers

Liling Liu
Comparison fields: 5 of 105
  • Filtration and Separation 17
  • Soil Science 59
  • Complementary and alternative medicine 36
  • Anesthesiology and Pain Medicine 17
  • Pharmacology 23
Replace Tetsuo Matsumoto with:
Tetsuo Matsumoto Japan
Pedro González Spain
Chenxi Shi China
Yong-Na Wu China
E.M. Scott United States
Han Yu China
Xinlin Li China
Zhifu Guo China
Yaxu Wang China
M Simková Czechia
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Liling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202293
2 201832
3 201331
4 201031
5 201921
6 201621
7 202118
8 201618
9 202014
10 202311
11 20179
12 20228
13 19888
14 20198
15 20197
16
[Mechanism of cleft palate in mice induced by 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin].
20117
17 20155
18 19875
19 20195
20 20233

About Liling Liu

Liling Liu is a scholar working on Molecular Biology, Oncology, Complementary and alternative medicine, Pediatrics, Perinatology and Child Health and Organic Chemistry, having authored 26 papers that have together received 360 indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Pharmacological Effects and Toxicity Studies (2 papers), TGF-β signaling in diseases (2 papers), Bone Metabolism and Diseases (2 papers), Dysphagia Assessment and Management (1 paper), Melanoma and MAPK Pathways (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Filtration and Separation (17 citations), Soil Science (59 citations), Complementary and alternative medicine (36 citations), Anesthesiology and Pain Medicine (17 citations) and Pharmacology (23 citations). Liling Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yun‐Fang Tsai, Liping Qiu, Weibo Kong, Xiaorong Wei, Mingan Shao, Satoshi Ishii, Shuo Jiao, Yonghong Wu, Qian Zhang and Michael J. Sadowsky. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Pharmaceutical Sciences, Frontiers in Microbiology, BioData Mining and Molecular Pharmaceutics.

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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