Fei Liu

730 papers receiving 16.9k citations

Fei Liu's Hit Papers

Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis 2021 · 186 citations
1860+7+14Years since publication200400600

Peers

Fei Liu
Comparison fields: 5 of 201
  • Cancer Research 1.9k
  • Nephrology 581
  • Hepatology 593
  • Molecular Biology 5.6k
  • Immunology 1.6k
Replace Yang Yang with:
Yang Yang China
Xiaokun Li China
Xiang Gao China
Jing Liu China
Yu Wang China
Ying Wang China
Hui Chen China
Hajime Nakamura Japan
Shinya Toyokuni Japan
Yan Li China
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Citations per year

Countries citing papers authored by Fei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 771 papers — load more, or switch the sort, to bring in the rest.

#Work
1
O-GlcNAcylation regulates phosphorylation of tau: A mechanism involved in Alzheimer's disease
Hit paper breakdown →
2004626
2
Feedback amplification of fibrosis through matrix stiffening and COX-2 suppression
Hit paper breakdown →
2010615
3
Exosomal miR-146a Contributes to the Enhanced Therapeutic Efficacy of Interleukin-1β-Primed Mesenchymal Stem Cells Against Sepsis
Hit paper breakdown →
2017390
4 2012342
5
Activatable NIR Fluorescence/MRI Bimodal Probes for in Vivo Imaging by Enzyme-Mediated Fluorogenic Reaction and Self-Assembly
Hit paper breakdown →
2019339
6 2018223
7 1999208
8 2012204
9 2008201
10 2018201
11
Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis
Hit paper breakdown →
2021186
12 2007172
13 2017159
14 2013145
15 2009131
16 2012129
17 2019123
18 2013122
19 2010120
20 2020120

About Fei Liu

Fei Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 771 papers that have together received 17.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (36 papers), Renal Diseases and Glomerulopathies (25 papers), Cancer-related molecular mechanisms research (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Autophagy in Disease and Therapy (17 papers), Chronic Kidney Disease and Diabetes (17 papers), Spine and Intervertebral Disc Pathology (16 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Cancer Research (1.9k citations), Nephrology (581 citations), Hepatology (593 citations), Molecular Biology (5.6k citations) and Immunology (1.6k citations). Fei Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Inge Grundke‐Iqbal, Daniel J. Tschumperlin, Khalid Iqbal, Cheng-Xin Gong, Gerald W. Hart, Inder M. Verma, Andrew M. Tager, Justin D. Mih, Barry S. Shea and Asma Sharif. Their work appears in journals such as Medicine, Frontiers in Pharmacology, PLoS ONE, Scientific Reports and International Journal of Biological Macromolecules.

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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