Mingfa Liu

850 citations
22 papers · 526 · h-index 15

Impact in

Papers in

    • Circular RNAs in diseases 3
    • S100 Proteins and Annexins 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2

Mingfa Liu

21 papers receiving 521 citations

Peers

Mingfa Liu
Comparison fields: 5 of 94
  • Cancer Research 215
  • Nutrition and Dietetics 71
  • Molecular Biology 283
  • Health, Toxicology and Mutagenesis 48
  • Genetics 35
Replace Jian Tian with:
Jian Tian China
YY Zhang China
J Leclère France
Uma Nahar India
Jiateng Sun China
Weijie Zhong China
Masakazu Souda Japan
Yuansheng Xie China
Nobuhiro Ozaki Japan
Mingfa Liu relative to Jian Tian China Jian Tian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mingfa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingfa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingfa 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 Mingfa Liu Line = papers co-authored together Mingfa Liu 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 2012103
2 201258
3 201741
4 202235
5 202035
6 201034
7 201831
8 202030
9 202321
10 201921
11 201121
12 202320
13 201519
14 200915
15 201214
16 201810
17
Overexpressed GNA13 induces temozolomide sensitization via down-regulating MGMT and p-RELA in glioma.
20217
18 20225
19 20214
20 20231

About Mingfa Liu

Mingfa Liu is a scholar working on Molecular Biology, Cancer Research, Neurology, Epidemiology and Surgery, having authored 22 papers that have together received 526 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Circular RNAs in diseases (3 papers), Acute Ischemic Stroke Management (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), S100 Proteins and Annexins (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Cancer Research (215 citations), Nutrition and Dietetics (71 citations), Molecular Biology (283 citations), Health, Toxicology and Mutagenesis (48 citations) and Genetics (35 citations). Mingfa Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haixiong Xu, Zhennan Xu, Tao Jin, Ke Xu, Jianwen Zhou, Weiyi Xu, Peng Zhou, Songshan Jiang, Shaochen Li and Jie Hou. Their work appears in journals such as Experimental Neurology, Frontiers in Neurology, Biochemistry and Cell Biology, Annals of Palliative Medicine and International Journal of Cardiology.

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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