Yan Qü

499 citations
22 papers · 344 · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 3
    • RNA modifications and cancer 2
    • TGF-β signaling in diseases 1
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 2

Yan Qü

20 papers receiving 340 citations

Peers

Yan Qü
Comparison fields: 5 of 69
  • Cancer Research 160
  • Developmental Neuroscience 14
  • Molecular Biology 176
  • Sensory Systems 11
  • Immunology 47
Replace Jin Yu with:
Jin Yu China
Shen Sun China
Zhaoying Chen China
Vinod Kaimal United States
Scott Tabar United States
Jelena Kostic Serbia
Jorge F. Ortiz-Carpena United States
Alex Moretti Italy
Mitja Mitrovič United States
Jaemyun Lyu South Korea
Yan Qü relative to Jin Yu China Jin Yu's profile →
Citations per field
00.5×1.5×2.2×
Jin Yu · 1×
Citations per year

Countries citing papers authored by Yan Qü

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200470
2 201849
3 201941
4 201940
5 201734
6 202021
7 202120
8 201617
9 202010
10 20189
11 20157
12 20217
13
Quantitative research for improving respiratory muscle contraction by breathing exercise.
19966
14 20154
15 20212
16 20202
17
[A quantitative study on the effect of breathing exercises in improving respiratory muscle contration].
19962
18 20251
19
STUDIES ON THE GENETIC DIVERSITY OF THREE CULTURED POPULATIONS OF PINCTADA MAXIMA
20071
20 20251

About Yan Qü

Yan Qü is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 22 papers that have together received 344 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), RNA modifications and cancer (2 papers), Restless Legs Syndrome Research (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cancer Research (160 citations), Developmental Neuroscience (14 citations), Molecular Biology (176 citations), Sensory Systems (11 citations) and Immunology (47 citations). Yan Qü has collaborated with scholars based in China, United States and India. Frequent co-authors include Jinqiao Qian, Wei Xiong, Yi Jiang, Qiusha Guo, Bing Xia, Jing Li, Haibing Xiao, Hongmei Chen, Zhengshuai Song and Hongmei Yang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Epigenomics, Medicine, OncoTargets and Therapy and Cellular Physiology and Biochemistry.

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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