Qing Luan

817 citations
21 papers · 628 · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cellular Mechanics and Interactions 7
    • Cellular transport and secretion 2

Qing Luan

21 papers receiving 626 citations

Peers

Qing Luan
Comparison fields: 5 of 84
  • Structural Biology 26
  • Cell Biology 235
  • Biophysics 44
  • Aging 13
  • Periodontics 25
Replace Yagmur Turgay with:
Yagmur Turgay Switzerland
Veijo T. Salo Finland
Takuya Kobayashi Japan
Kateryna Morozova United States
Zeynep A. Oztug Durer United States
Olga Zinchuk Japan
Natalya Leneva Australia
Kuniyoshi Kaseda Japan
Peter M. Thompson United States
Ahmed Abu‐Siniyeh Jordan
Qing Luan relative to Yagmur Turgay Switzerland Yagmur Turgay's profile →
Citations per field
00.5×3.3×
Yagmur Turgay · 1×
Citations per year

Countries citing papers authored by Qing Luan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201365
2 201362
3 201155
4 201649
5 201647
6 201744
7 201744
8 201043
9 201633
10 202032
11 201828
12 201828
13
PDK1 plays a critical role in regulating cardiac function in mice and human.
201022
14 201118
15 202117
16 201417
17 202310
18
[Spicy food intake increases the risk of overweight and obesity].
20195
19 20224
20 20203

About Qing Luan

Qing Luan is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Materials Chemistry and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 628 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), Cardiomyopathy and Myosin Studies (3 papers), Cellular transport and secretion (2 papers), Oral microbiology and periodontitis research (2 papers), RNA Research and Splicing (2 papers), Enzyme Structure and Function (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Structural Biology (26 citations), Cell Biology (235 citations), Biophysics (44 citations), Aging (13 citations) and Periodontics (25 citations). Qing Luan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Brad J. Nolen, Suling Liu, Xiaoxuan Wang, Andrew R. Wagner, Zai Chang, Qiuting Feng, Zhongzhou Yang, Ming Zheng, Meishan Wang and Xiao‐Guang Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Biology, The EMBO Journal, Journal of Hypertension and Biochemical Journal.

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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