Maoping Chu

2.8k citations
98 papers · 2.2k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Inflammasome and immune disorders
    • Circular RNAs in diseases

Papers in

    • Inflammasome and immune disorders 10
    • Renal and related cancers 4
    • Kawasaki Disease and Coronary Complications 32

Maoping Chu

94 papers receiving 2.1k citations

Peers

Maoping Chu
Comparison fields: 5 of 120
  • Cancer Research 219
  • Molecular Biology 948
  • Surgery 484
  • Cardiology and Cardiovascular Medicine 240
  • Geriatrics and Gerontology 35
Replace Hui Chen with:
Hui Chen China
Sameh Saber Egypt
Dewei Ye China
Xinyu Yang China
Meng Gao China
Shaoqiang Lin China
Yaozu Xiang China
Xinyu Chen China
Refaat A. Eid Saudi Arabia
Zhaoliang Su China
Maoping Chu relative to Hui Chen China Hui Chen's profile →
Citations per field
00.5×4.2×
Hui Chen · 1×
Citations per year

Countries citing papers authored by Maoping Chu

Since Specialization
Citations

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

Fields of papers citing papers by Maoping Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019220
2 2018201
3 2015100
4 201599
5 201994
6 201793
7 201975
8 202062
9 201752
10 202050
11 201749
12 202145
13 201845
14 201842
15 201240
16 201936
17 201534
18 202032
19 201832
20 202331

About Maoping Chu

Maoping Chu is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (32 papers), Inflammasome and immune disorders (10 papers), Coronary Artery Anomalies (8 papers), Peptidase Inhibition and Analysis (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Antifungal resistance and susceptibility (5 papers), Cardiovascular Issues in Pregnancy (5 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (948 citations), Surgery (484 citations), Cardiology and Cardiovascular Medicine (240 citations) and Geriatrics and Gerontology (35 citations). Maoping Chu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xing Rong, Chang Jia, Yingzhi Zhuge, Chao Niu, Huixian Qiu, Jian Xiao, Rongzhou Wu, Kailiang Zhou, Huanwen Chen and Jian Zhang. Their work appears in journals such as Stem Cell Research, Frontiers in Pediatrics, Biochemical and Biophysical Research Communications, Cell Death and Disease and Journal of Cardiovascular Translational Research.

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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