Ling Qu

769 citations
35 papers · 591 · h-index 14

Impact in

Papers in

Ling Qu

35 papers receiving 583 citations

Peers

Ling Qu
Comparison fields: 5 of 75
  • Complementary and alternative medicine 58
  • Physiology 30
  • Pharmacology 49
  • Geriatrics and Gerontology 18
  • Biochemistry 31
Replace Bidur Bhandary with:
Bidur Bhandary South Korea
Da-Hye Lee South Korea
Minghao Yuan China
Entaz Bahar South Korea
Decha Pinkaew Thailand
Seung‐Lark Hwang South Korea
Rashita Makkar India
Carlos Alfredo Silva‐Islas Mexico
Jihyun Je South Korea
Ling Qu relative to Bidur Bhandary South Korea Bidur Bhandary's profile →
Citations per field
00.5×1.5×1.9×
Bidur Bhandary · 1×
Citations per year

Countries citing papers authored by Ling Qu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 201472
3 201256
4 201245
5 201935
6 201932
7 201929
8 201524
9 201122
10 201722
11 200816
12 201916
13 202014
14 201214
15 201812
16 201312
17 199710
18
[Effects of tetrandrine on cat papillary muscle (author's transl)].
198110
19 20229
20 20238

About Ling Qu

Ling Qu is a scholar working on Molecular Biology, Plant Science, Physiology, Cell Biology and Pharmacology, having authored 35 papers that have together received 591 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Fungal Biology and Applications (2 papers), Calpain Protease Function and Regulation (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (58 citations), Physiology (30 citations), Pharmacology (49 citations), Geriatrics and Gerontology (18 citations) and Biochemistry (31 citations). Ling Qu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiao‐chun Liang, Yue Shi, Qunli Wu, Wei Liu, Qing Sun, Yiming Mu, Hong Zhang, Xiaojin Li, Juming Lu and Bing Xue. Their work appears in journals such as Chinese Journal of Integrative Medicine, Frontiers in Microbiology, Frontiers in Pharmacology, Metabolism and Biochemical Pharmacology.

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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