Manhua Chen

2.6k citations
44 papers · 879 · h-index 19

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Manhua Chen

42 papers receiving 859 citations

Peers

Manhua Chen
Comparison fields: 5 of 99
  • Statistics and Probability 114
  • Cancer Research 179
  • Cardiology and Cardiovascular Medicine 217
  • Epidemiology 172
  • Biochemistry 27
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Citations per field
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Citations per year

Countries citing papers authored by Manhua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Manhua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201495
3 201469
4 201660
5 201447
6 202142
7 201641
8 200934
9 201428
10 202227
11 200727
12
Puerarin accelerate scardiac angiogenesis and improves cardiac function of myocardial infarction by upregulating VEGFA, Ang-1 and Ang-2 in rats.
201524
13 201222
14 201421
15 201521
16
Danshen improves damaged cardiac angiogenesis and cardiac function induced by myocardial infarction by modulating HIF1α/VEGFA signaling pathway.
201521
17 202220
18 201920
19 200819
20 202117

About Manhua Chen

Manhua Chen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Statistics and Probability and Cancer Research, having authored 44 papers that have together received 879 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Statistical Methods and Bayesian Inference (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Coronary Interventions and Diagnostics (5 papers), Circular RNAs in diseases (4 papers), Signaling Pathways in Disease (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Statistics and Probability (114 citations), Cancer Research (179 citations), Cardiology and Cardiovascular Medicine (217 citations), Epidemiology (172 citations) and Biochemistry (27 citations). Manhua Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xingwei Tong, Jianguo Sun, Jiahong Xia, Chao Cheng, Qiang Wang, Qin He, Ping Ye, Rui‐Xia Xu, Cheng‐Gang Zhu and Peng Zhang. Their work appears in journals such as Biometrical Journal, Journal of Atherosclerosis and Thrombosis, Statistics in Medicine, Pharmacology and Cardiovascular 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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