Lichan Tao

2.3k total citations · 1 hit paper
31 papers, 1.6k citations indexed

About

Lichan Tao is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Lichan Tao has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 19 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Lichan Tao's work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Fibrosis and Remodeling (8 papers) and MicroRNA in disease regulation (7 papers). Lichan Tao is often cited by papers focused on Cardiovascular Function and Risk Factors (10 papers), Cardiac Fibrosis and Remodeling (8 papers) and MicroRNA in disease regulation (7 papers). Lichan Tao collaborates with scholars based in China, United States and Netherlands. Lichan Tao's co-authors include Fei Hua, Jian‐Jun Li, Jiani Xu, Tingting Wang, Junjie Xiao, Yihua Bei, Xinli Li, Haifeng Zhang, Saumya Das and Shutong Shen and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Lichan Tao

31 papers receiving 1.5k citations

Hit Papers

Triglyceride-glucose index as a marker in cardiovascular ... 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lichan Tao China 18 665 630 342 342 339 31 1.6k
Hisashi Makino Japan 27 634 1.0× 509 0.8× 417 1.2× 131 0.4× 171 0.5× 63 1.9k
Naifeng Liu China 27 657 1.0× 495 0.8× 304 0.9× 286 0.8× 285 0.8× 83 2.1k
Wenhui Peng China 23 593 0.9× 372 0.6× 152 0.4× 187 0.5× 249 0.7× 71 1.5k
Ling Yu China 20 420 0.6× 420 0.7× 304 0.9× 142 0.4× 187 0.6× 54 1.6k
Evis Harja United States 17 595 0.9× 253 0.4× 424 1.2× 132 0.4× 198 0.6× 20 2.0k
Hidemichi Kouzu Japan 21 536 0.8× 888 1.4× 170 0.5× 78 0.2× 185 0.5× 93 1.7k
Oliver Adam Germany 17 541 0.8× 785 1.2× 263 0.8× 158 0.5× 104 0.3× 28 1.7k
Alkistis Kapelouzou Greece 26 319 0.5× 580 0.9× 167 0.5× 154 0.5× 528 1.6× 68 1.8k
Gaoliang Yan China 20 709 1.1× 361 0.6× 247 0.7× 444 1.3× 151 0.4× 80 1.5k
Han Lei China 20 342 0.5× 371 0.6× 111 0.3× 167 0.5× 206 0.6× 55 1.3k

Countries citing papers authored by Lichan Tao

Since Specialization
Citations

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

Fields of papers citing papers by Lichan Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichan Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Lichan Tao. A scholar is included among the top collaborators of Lichan Tao 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 Lichan Tao. Lichan Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tao, Lichan, Hong Shu, Ying Wang, et al.. (2024). Inflammatory biomarkers predict higher risk of hyperglycemic crises but not outcomes in diabetic patients with COVID-19. Frontiers in Endocrinology. 15. 1287795–1287795. 4 indexed citations
2.
Tao, Lichan, Zihan Qin, Lin Lin, et al.. (2023). Long noncoding RNA lncPostn links TGF-β and p53 signaling pathways to transcriptional regulation of cardiac fibrosis. American Journal of Physiology-Cell Physiology. 326(2). C457–C472. 2 indexed citations
3.
Wang, Tingting, Jiani Xu, Hong Zhang, Lichan Tao, & Xiaolin Huang. (2023). Triglyceride-glucose index for the detection of subclinical heart failure with preserved ejection fraction in patients with type 2 diabetes. Frontiers in Cardiovascular Medicine. 10. 1086978–1086978. 10 indexed citations
4.
Tao, Lichan, Jiani Xu, Tingting Wang, Fei Hua, & Jian‐Jun Li. (2022). Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations. Cardiovascular Diabetology. 21(1). 68–68. 549 indexed citations breakdown →
6.
Tao, Lichan, et al.. (2020). Identification of a lncRNA‑miRNA‑mRNA network based on competitive endogenous RNA theory reveals functional lncRNAs in hypertrophic cardiomyopathy. Experimental and Therapeutic Medicine. 20(2). 1176–1190. 11 indexed citations
7.
Zhu, Yujiao, Wen Pan, Tingting Yang, et al.. (2019). Upregulation of Circular RNA CircNFIB Attenuates Cardiac Fibrosis by Sponging miR-433. Frontiers in Genetics. 10. 564–564. 98 indexed citations
9.
Tao, Lichan, Long Wang, Xiaoyu Yang, Xiaohong Jiang, & Fei Hua. (2018). Recombinant human glucagon-like peptide-1 protects against chronic intermittent hypoxia by improving myocardial energy metabolism and mitochondrial biogenesis. Molecular and Cellular Endocrinology. 481. 95–103. 21 indexed citations
10.
Tao, Lichan, Yihua Bei, Yongqin Li, & Junjie Xiao. (2018). Neonatal Rat Cardiomyocytes Isolation, Culture, and Determination of MicroRNAs’ Effects in Proliferation. Methods in molecular biology. 1733. 203–213. 8 indexed citations
11.
Bei, Yihua, Lichan Tao, Dragoş Crețoiu, Sanda Maria Creţoiu, & Junjie Xiao. (2017). MicroRNAs Mediate Beneficial Effects of Exercise in Heart. Advances in experimental medicine and biology. 1000. 261–280. 13 indexed citations
12.
Tao, Lichan, Hui Wang, Xiuzhi Wang, Xiangqing Kong, & Xinli Li. (2016). Cardiac Telocytes. Current Stem Cell Research & Therapy. 11(5). 404–409. 18 indexed citations
13.
Tao, Lichan, Yihua Bei, Ping Chen, et al.. (2016). Crucial Role of miR-433 in Regulating Cardiac Fibrosis. Theranostics. 6(12). 2068–2083. 123 indexed citations
14.
Tao, Lichan, Yihua Bei, Haifeng Zhang, et al.. (2015). Exercise Training Protects Against Acute Myocardial Infarction via Improving Myocardial Energy Metabolism and Mitochondrial Biogenesis. Cellular Physiology and Biochemistry. 37(1). 162–175. 105 indexed citations
15.
Tao, Lichan, Siyi Fu, Xiuzhi Wang, et al.. (2015). Traditional Chinese Medication Qiliqiangxin attenuates cardiac remodeling after acute myocardial infarction in mice. Scientific Reports. 5(1). 8374–8374. 67 indexed citations
16.
Luo, Wen, Xia Zhao, Hengwei Jin, et al.. (2015). Akt1 signaling coordinates BMP signaling and β-catenin activity to regulate second heart field progenitor development. Development. 142(4). 732–742. 28 indexed citations
17.
Shen, Shutong, et al.. (2015). Qiliqiangxin Protects Against Cardiac Ischemia-Reperfusion Injury via Activation of the mTOR Pathway. Cellular Physiology and Biochemistry. 37(2). 454–464. 25 indexed citations
18.
Tao, Lichan, et al.. (2015). Tendency for age-specific mortality with hypertension in the European Union from 1980 to 2011.. PubMed. 8(2). 1611–23. 5 indexed citations
19.
Tao, Lichan, et al.. (2014). GW25-e3529 Traditional Chinese Medication Qiliqiangxin attenuates cardiac remodeling after acute myocardial infarction in mice. Journal of the American College of Cardiology. 64(16). C235–C236. 1 indexed citations
20.
Tao, Lichan, Shutong Shen, & Xinli Li. (2013). Future prospects of Qiliqiangxin on heart failure: epigenetic regulation of regeneration. Frontiers in Genetics. 4. 221–221. 12 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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