Chuanyu Wei

1.3k citations
38 papers · 1.1k indexed · h-index 20

Impact in

Papers in

    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4

Chuanyu Wei

38 papers receiving 1.1k citations

Peers

Chuanyu Wei
Comparison fields: 5 of 102
  • Cancer Research 287
  • Cardiology and Cardiovascular Medicine 223
  • Developmental Neuroscience 38
  • Genetics 81
  • Immunology 158
Replace Peipei Guo with:
Peipei Guo China
Bruna B. Brandão United States
Shahrzad Soleymani Fard Iran
Valérie Metzinger‐Le Meuth France
Fengqi Duan China
Jing Huang China
Jeffrey N. Lindquist United States
Chuanyu Wei relative to Peipei Guo China Peipei Guo's profile →
Citations per field
00.5×5.3×
Peipei Guo · 1×
Citations per year

Countries citing papers authored by Chuanyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20199
2 201937
3 201710
4 201527
5
Single nucleotide polymorphism of NKX2-5 gene with sporadic congenital heart disease in Chinese Bai population.
201510
6 201519
7 201510
8 201521
9 201430
10 20148
11 201490
12 201335
13 2013112
14 201218
15 2012118
16 201231
17 201210
18 201240
19 201013
20 201019

About Chuanyu Wei

Chuanyu Wei is a scholar working on Aging, Cancer Research, Immunology, Genetics and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Congenital Heart Disease Studies (5 papers), Cancer-related molecular mechanisms research (4 papers), Mesenchymal stem cell research (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cancer Research (287 citations), Cardiology and Cardiovascular Medicine (223 citations), Developmental Neuroscience (38 citations), Genetics (81 citations) and Immunology (158 citations). Chuanyu Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sudhiranjan Gupta, Il-Kwon Kim, Sandeep Kumar, Zongliu Hou, Mingyao Meng, Li Li, Yvonne Janssen‐Heininger, W. Keith Jones, Il‐Kwon Kim and Daniele Catalucci. Their work appears in journals such as PLoS ONE, Gene, Tumor Biology, Poultry Science and Scientific Reports.

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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