Weidan Chen

409 citations
23 papers · 277 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Congenital Heart Disease Studies

Papers in

Weidan Chen

20 papers receiving 271 citations

Peers

Weidan Chen
Comparison fields: 5 of 62
  • Cancer Research 41
  • Epidemiology 70
  • Molecular Biology 135
  • Pediatrics, Perinatology and Child Health 34
  • Pulmonary and Respiratory Medicine 44
Replace Patrícia Trevisan with:
Patrícia Trevisan Brazil
Shangren Wang China
Diana Caprau United States
Kai Qi China
Qiaoyun Dai China
Sayuri Ota Japan
Alessia Mari Italy
Judith Schenz Germany
Tingying Lei China
Mixue Tu China
Weidan Chen relative to Patrícia Trevisan Brazil Patrícia Trevisan's profile →
Citations per field
00.5×4.8×
Patrícia Trevisan · 1×
Citations per year

Countries citing papers authored by Weidan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weidan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 201643
3 201633
4 202132
5 201118
6 201516
7 201513
8 202011
9 201410
10 201610
11 20157
12 20235
13 20185
14 20194
15 20194
16 20213
17 20163
18 20222
19
Observation of Preventive Effects of Diammonii Glycyrrhizinatis on Patients with Hepatitis Induced by Anti-tuberculosis Drugs
20091
20 20201

About Weidan Chen

Weidan Chen is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery, having authored 23 papers that have together received 277 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Pulmonary Hypertension Research and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Mitochondrial Function and Pathology (2 papers), Birth, Development, and Health (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (41 citations), Epidemiology (70 citations), Molecular Biology (135 citations), Pediatrics, Perinatology and Child Health (34 citations) and Pulmonary and Respiratory Medicine (44 citations). Weidan Chen has collaborated with scholars based in China. Frequent co-authors include Shoujun Li, Fangqin Lin, Huiying Liang, Li Ma, Minghui Zou, Qingsheng Huang, Yanyan Song, Xiaohui Wu, Jiayong Zhong and Xinxin Chen. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Pediatric Pulmonology, BioMed Research International, Oxidative Medicine and Cellular Longevity and 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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