Qun Liu

1.0k citations
39 papers · 762 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis
    • Cancer Risks and Factors

Papers in

Qun Liu

36 papers receiving 743 citations

Peers

Qun Liu
Comparison fields: 5 of 88
  • Cancer Research 95
  • Oncology 141
  • Pathology and Forensic Medicine 80
  • Pulmonary and Respiratory Medicine 137
  • Hepatology 21
Replace Nadia Kourda with:
Nadia Kourda Tunisia
Jianlin Chen China
Xu Guo China
Mumin Shao China
Yizhen Gong China
Firas Baidoun United States
Benjamin L. Schlechter United States
Juan José Mora Román Costa Rica
Yisheng Pan China
Qun Liu relative to Nadia Kourda Tunisia Nadia Kourda's profile →
Citations per field
00.5×2×4×6.7×
Nadia Kourda · 1×
Citations per year

Countries citing papers authored by Qun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017103
2 201791
3 200971
4 202060
5 201749
6 202335
7 201132
8 201132
9 202430
10 201829
11 202022
12 201421
13 201619
14 202216
15 201815
16 202015
17 201612
18 201912
19 202211
20 201310

About Qun Liu

Qun Liu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cardiology and Cardiovascular Medicine, Epidemiology and Nephrology, having authored 39 papers that have together received 762 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Coronary Artery Anomalies (2 papers), Dialysis and Renal Disease Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (95 citations), Oncology (141 citations), Pathology and Forensic Medicine (80 citations), Pulmonary and Respiratory Medicine (137 citations) and Hepatology (21 citations). Qun Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huiting Dong, Jiguang Li, Xiaofeng Zhai, Zhe Chen, Yuyu Guo, Peng Xing, Feng Jin, Tingting Zhao, Feng Jin and Xinyu Zheng. Their work appears in journals such as Lipids in Health and Disease, Journal of Investigative Medicine, Medicine, Cell Biochemistry and Function and Stem Cell Research & Therapy.

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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