Junnan Tang

4.7k total citations
104 papers, 3.3k citations indexed

About

Junnan Tang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Junnan Tang has authored 104 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 36 papers in Cardiology and Cardiovascular Medicine and 34 papers in Surgery. Recurrent topics in Junnan Tang's work include Tissue Engineering and Regenerative Medicine (18 papers), Extracellular vesicles in disease (18 papers) and Electrospun Nanofibers in Biomedical Applications (14 papers). Junnan Tang is often cited by papers focused on Tissue Engineering and Regenerative Medicine (18 papers), Extracellular vesicles in disease (18 papers) and Electrospun Nanofibers in Biomedical Applications (14 papers). Junnan Tang collaborates with scholars based in China, United States and New Zealand. Junnan Tang's co-authors include Jinying Zhang, Xiaolin Cui, Ke Cheng, Michael Taylor Hensley, Thomas G. Caranasos, Adam C. Vandergriff, Jhon Cores, Ke Huang, Deliang Shen and Tim B. F. Woodfield and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Junnan Tang

94 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junnan Tang China 30 1.3k 1.0k 846 799 567 104 3.3k
Kiwon Ban Hong Kong 25 1.4k 1.1× 1.1k 1.1× 589 0.7× 384 0.5× 672 1.2× 55 3.5k
Deliang Shen China 27 1.5k 1.2× 1.1k 1.1× 681 0.8× 851 1.1× 489 0.9× 70 3.0k
Kai Zhu China 29 1.0k 0.8× 658 0.6× 1.2k 1.5× 323 0.4× 280 0.5× 156 3.4k
Sang‐Mo Kwon South Korea 33 1.6k 1.3× 1.0k 1.0× 1.2k 1.4× 625 0.8× 177 0.3× 102 3.9k
Maria A. Rupnick United States 25 1.4k 1.1× 1.0k 1.0× 687 0.8× 833 1.0× 837 1.5× 38 3.9k
Andres Hilfiker Germany 34 1.0k 0.8× 2.0k 1.9× 599 0.7× 1.5k 1.9× 1.4k 2.6× 98 4.3k
Patrick C.H. Hsieh Taiwan 36 2.4k 1.9× 1.9k 1.9× 953 1.1× 1.8k 2.2× 702 1.2× 111 4.9k
Hun‐Jun Park South Korea 24 664 0.5× 766 0.7× 563 0.7× 372 0.5× 543 1.0× 95 2.1k
Nicanor I. Moldovan United States 28 1.2k 1.0× 519 0.5× 644 0.8× 300 0.4× 217 0.4× 71 3.1k
Ke Huang China 37 2.8k 2.2× 1.4k 1.4× 864 1.0× 973 1.2× 494 0.9× 115 5.0k

Countries citing papers authored by Junnan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junnan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Junnan Tang. A scholar is included among the top collaborators of Junnan Tang 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 Junnan Tang. Junnan Tang 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
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Wang, Zhenwei, et al.. (2025). Persistent lipoprotein(a) exposure and its association with clinical outcomes after acute myocardial infarction: a longitudinal cohort study. Annals of Medicine. 57(1). 2454975–2454975. 3 indexed citations
3.
Zhang, Ge, Zhen Qin, Yufeng Jiang, et al.. (2025). Targeted Delivery of Exosome-Derived miRNA-185-5p Inhibitor via Liposomes Alleviates Apoptosis and Cuproptosis in Dilated Cardiomyopathy. International Journal of Nanomedicine. Volume 20. 9407–9425. 2 indexed citations
4.
Zhang, Ge, et al.. (2024). Causal Associations Between the Gut Microbiome and Aortic Aneurysm: A Mendelian Randomization Study. SHILAP Revista de lepidopterología. 9(1). 3 indexed citations
5.
6.
Fan, Kexin, Qiguang Wang, Jie Yuan, et al.. (2024). Single-Atom-Based Nanoenzyme in Tissue Repair. ACS Nano. 18(20). 12639–12671. 34 indexed citations
7.
Yang, Yuan, Tao Chen, Miaomiao Li, et al.. (2024). Discovery and engineering of ChCas12b for precise genome editing. Science Bulletin. 69(20). 3260–3271. 2 indexed citations
8.
Zhang, Ge, et al.. (2024). Differential Expression Spectrum of circRNA in Plasma Exosomes in Dilated Cardiomyopathy With Heart Failure. Journal of Cellular and Molecular Medicine. 28(24). e70258–e70258. 5 indexed citations
9.
Yu, Kai, Qiguang Wang, Junnan Tang, et al.. (2023). The potential role of synovial cells in the progression and treatment of osteoarthritis. SHILAP Revista de lepidopterología. 3(5). 20220132–20220132. 65 indexed citations
10.
Xie, Fangxi, Xiaolin Cui, Xing Zhi, et al.. (2023). A general approach to 3D-printed single-atom catalysts. Nature Synthesis. 2(2). 129–139. 112 indexed citations
11.
Qiao, Kai, Xinyue Cui, Haohao Liu, et al.. (2023). Roles of extracellular vesicles derived from immune cells in atherosclerosis. SHILAP Revista de lepidopterología. 2. 100028–100028. 2 indexed citations
12.
Zhang, Ge, Xiaolin Cui, Zhenpeng Qin, et al.. (2023). Atherosclerotic plaque vulnerability quantification system for clinical and biological interpretability. iScience. 26(9). 107587–107587. 9 indexed citations
13.
Zhang, Li, Ge Zhang, Yongzheng Lu, et al.. (2023). Differential expression profiles of plasma exosomal microRNAs in dilated cardiomyopathy with chronic heart failure. Journal of Cellular and Molecular Medicine. 27(14). 1988–2003. 19 indexed citations
14.
Qin, Zhen, Ruixia Yuan, Jiacheng Guo, et al.. (2022). Systemic Immune-Inflammation Index as a Prognostic Marker for Advanced Chronic Heart Failure with Renal Dysfunction. ESC Heart Failure. 10(1). 478–491. 25 indexed citations
15.
Fan, Lei, Junnan Tang, Qianqian Guo, et al.. (2022). The age, NT-proBNP, and Ejection Fraction Score as a Novel Predictor of Clinical Outcomes in CAD Patients After PCI. Clinical and Applied Thrombosis/Hemostasis. 28. 2985294849–2985294849. 1 indexed citations
16.
Tang, Junnan, Xiaolin Cui, Zenglei Zhang, et al.. (2021). Injection‐Free Delivery of MSC‐Derived Extracellular Vesicles for Myocardial Infarction Therapeutics. Advanced Healthcare Materials. 11(5). e2100312–e2100312. 64 indexed citations
17.
Cui, Xiaolin, Jun Li, Yusak Hartanto, et al.. (2020). Advances in Extrusion 3D Bioprinting: A Focus on Multicomponent Hydrogel‐Based Bioinks. Advanced Healthcare Materials. 9(15). e1901648–e1901648. 282 indexed citations
18.
Cui, Xiaolin, Junnan Tang, Yusak Hartanto, et al.. (2018). NIPAM-based Microgel Microenvironment Regulates the Therapeutic Function of Cardiac Stromal Cells. ACS Applied Materials & Interfaces. 10(44). 37783–37796. 37 indexed citations
19.
Tang, Junnan, Jinqiang Wang, Ke Huang, et al.. (2018). Cardiac cell–integrated microneedle patch for treating myocardial infarction. Science Advances. 4(11). eaat9365–eaat9365. 249 indexed citations
20.
Tang, Junnan, Adam C. Vandergriff, Zegen Wang, et al.. (2017). A Regenerative Cardiac Patch Formed by Spray Painting of Biomaterials onto the Heart. Tissue Engineering Part C Methods. 23(3). 146–155. 65 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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