Chaowei Tian

558 total citations
12 papers, 415 citations indexed

About

Chaowei Tian is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chaowei Tian has authored 12 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chaowei Tian's work include Immune Cell Function and Interaction (2 papers), MicroRNA in disease regulation (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Chaowei Tian is often cited by papers focused on Immune Cell Function and Interaction (2 papers), MicroRNA in disease regulation (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Chaowei Tian collaborates with scholars based in China, United States and Hong Kong. Chaowei Tian's co-authors include Michael F. Seldin, Peter K. Gregersen, Chongyu Zhang, Benrong Liu, Yun Zhong, Jun Dong, Zhenhui Zhang, Yujuan Xiong, Jianwei Liu and Shiming Liu and has published in prestigious journals such as Human Molecular Genetics, Sustainability and Resuscitation.

In The Last Decade

Chaowei Tian

12 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaowei Tian China 7 161 136 50 37 37 12 415
Teresa Nutile Italy 14 128 0.8× 159 1.2× 44 0.9× 20 0.5× 47 1.3× 23 505
Yao Zhou China 12 195 1.2× 230 1.7× 38 0.8× 20 0.5× 28 0.8× 45 522
Katrin Horn Germany 15 186 1.2× 178 1.3× 44 0.9× 62 1.7× 48 1.3× 32 596
Jadranka Popović United States 10 144 0.9× 245 1.8× 23 0.5× 56 1.5× 24 0.6× 12 522
Qi Tian China 12 160 1.0× 223 1.6× 80 1.6× 30 0.8× 34 0.9× 44 603
Qunsheng Dai United States 14 187 1.2× 329 2.4× 50 1.0× 48 1.3× 47 1.3× 17 667
Xiaoyu Yang China 16 83 0.5× 262 1.9× 40 0.8× 75 2.0× 46 1.2× 46 607
Mari Nelis Estonia 13 306 1.9× 183 1.3× 21 0.4× 32 0.9× 32 0.9× 35 567
Joelle Mbatchou United States 5 315 2.0× 171 1.3× 23 0.5× 46 1.2× 42 1.1× 10 693

Countries citing papers authored by Chaowei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Chaowei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaowei Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Chaowei Tian. A scholar is included among the top collaborators of Chaowei Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaowei Tian. Chaowei Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Sundaravadivel, Prabha, et al.. (2025). Comparison of Machine Learning Models to Predict Nighttime Crash Severity: A Case Study in Tyler, Texas, USA. Vehicles. 7(1). 20–20. 1 indexed citations
2.
Tian, Chaowei, et al.. (2024). Decreased plasma miR-140-3p is associated with coronary artery disease. Heliyon. 10(5). e26960–e26960. 2 indexed citations
3.
Fang, Lei, et al.. (2022). Myocyte Enhancer Factor 2A Plays a Central Role in the Regulatory Networks of Cellular Physiopathology. Aging and Disease. 14(2). 0–0. 14 indexed citations
4.
Lei, Fang, Yujuan Xiong, Yang Xiang, et al.. (2022). A Machine Learning Model Based on Genetic and Traditional Cardiovascular Risk Factors to Predict Premature Coronary Artery Disease. Frontiers in Bioscience-Landmark. 27(7). 211–211. 4 indexed citations
5.
6.
Liu, Benrong, Lin Wang, Yujuan Xiong, et al.. (2019). Myocyte enhancer factor 2A delays vascular endothelial cell senescence by activating the PI3K/p-Akt/SIRT1 pathway. Aging. 11(11). 3768–3784. 20 indexed citations
7.
Dong, Jun, et al.. (2018). miR-10a rejuvenates aged human mesenchymal stem cells and improves heart function after myocardial infarction through KLF4. Stem Cell Research & Therapy. 9(1). 151–151. 51 indexed citations
8.
Zhong, Yun, Chuanfang Cheng, Chaowei Tian, et al.. (2015). C-reactive protein stimulates RAGE expression in human coronary artery endothelial cells in vitro via ROS generation and ERK/NF-κB activation. Acta Pharmacologica Sinica. 36(4). 440–447. 23 indexed citations
9.
10.
Xiong, Ying, et al.. (2011). The complete genomic sequence of HLA‐DRB1*10:01:01 was identified by sequencing in a Han Chinese individual. Tissue Antigens. 77(2). 159–160. 4 indexed citations
11.
Liu, Benrong, Chaowei Tian, Qiang Zhou, et al.. (2011). HLA-DRB1*12:02:01 plays a protective role against coronary artery disease in women of southern Han Chinese descent. Human Immunology. 73(1). 122–126. 8 indexed citations
12.
Tian, Chaowei, Peter K. Gregersen, & Michael F. Seldin. (2008). Accounting for ancestry: population substructure and genome-wide association studies. Human Molecular Genetics. 17(R2). R143–R150. 278 indexed citations

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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2026