Ning Qu

59 papers receiving 1.1k citations

Ning Qu's Hit Papers

The AMPK pathway in fatty liver disease 2022 · 237 citations
2370+1+2Years since publication50100150200

Peers

Ning Qu
Comparison fields: 5 of 109
  • Orthodontics 40
  • Periodontics 27
  • Sensory Systems 29
  • Rheumatology 85
  • Molecular Biology 414
Replace Christian Schwarzer with:
Christian Schwarzer United States
Yasuko Ishikawa Japan
Seong S. Han United States
Markus Hardt United States
Felipe Massó Mexico
Susanne Nyström Sweden
Hideki Furuya United States
K Nakakuki Japan
Vincenzo Flati Italy
Yanfang Yu China
Ning Qu relative to Christian Schwarzer United States Christian Schwarzer's profile →
Citations per field
00.5×8.3×
Christian Schwarzer · 1×
Citations per year

Countries citing papers authored by Ning Qu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The AMPK pathway in fatty liver disease
Hit paper breakdown →
2022237
2 2011137
3 2007120
4 201863
5 201947
6 201328
7 201327
8 201926
9 202026
10 200824
11 200523
12 202122
13 201921
14 201620
15 202020
16 201918
17 201218
18 202016
19 201216
20 201815

About Ning Qu

Ning Qu is a scholar working on Molecular Biology, Genetics, Cancer Research, Rheumatology and Oncology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (7 papers), Prenatal Screening and Diagnostics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), High Altitude and Hypoxia (3 papers), Molecular Sensors and Ion Detection (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Orthodontics (40 citations), Periodontics (27 citations), Sensory Systems (29 citations), Rheumatology (85 citations) and Molecular Biology (414 citations). Ning Qu has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Yuting Lei, Chunqiu Fang, Jiajun Han, Dong Cheol Han, Jingzhou Zhang, Paul de Vos, Yijin Ren, Bart de Haan, Chun Xia and Xueling Ou. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Frontiers in Pharmacology, Clinica Chimica Acta, Gene and Electrophoresis.

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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