Fang Chen

2.0k total citations
101 papers, 1.4k citations indexed

About

Fang Chen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Fang Chen has authored 101 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cardiology and Cardiovascular Medicine, 42 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Fang Chen's work include Coronary Interventions and Diagnostics (34 papers), Cardiac Valve Diseases and Treatments (15 papers) and Acute Myocardial Infarction Research (15 papers). Fang Chen is often cited by papers focused on Coronary Interventions and Diagnostics (34 papers), Cardiac Valve Diseases and Treatments (15 papers) and Acute Myocardial Infarction Research (15 papers). Fang Chen collaborates with scholars based in China, United States and United Kingdom. Fang Chen's co-authors include Rebecca Torguson, Ron Waksman, Lowell F. Satler, Augusto D. Pichard, Jing Cui, Sa’ar Minha, Joshua P. Loh, Lakshmana Pendyala, Qian Li and William O. Suddath and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Fang Chen

97 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Chen China 22 541 518 325 230 205 101 1.4k
Adrian Doroszko Poland 18 260 0.5× 352 0.7× 220 0.7× 205 0.9× 150 0.7× 98 1.1k
Xiaobo Zhou Germany 22 248 0.5× 952 1.8× 591 1.8× 234 1.0× 80 0.4× 104 1.8k
Masahiro Okazaki Japan 21 269 0.5× 432 0.8× 390 1.2× 95 0.4× 248 1.2× 74 1.2k
Lili Xu China 21 188 0.3× 151 0.3× 276 0.8× 144 0.6× 280 1.4× 81 1.3k
Ying Yu China 23 229 0.4× 300 0.6× 412 1.3× 52 0.2× 153 0.7× 50 1.5k
Aldo Pende Italy 21 160 0.3× 396 0.8× 556 1.7× 49 0.2× 143 0.7× 66 1.4k
Barbara Voetsch United States 19 149 0.3× 207 0.4× 250 0.8× 205 0.9× 443 2.2× 35 1.9k
Raffaele Altara United States 20 131 0.2× 374 0.7× 277 0.9× 52 0.2× 66 0.3× 45 1.0k
Melissa E. Reichelt Australia 20 207 0.4× 449 0.9× 455 1.4× 58 0.3× 60 0.3× 46 1.2k
Peter Kang United States 18 132 0.2× 390 0.8× 437 1.3× 42 0.2× 123 0.6× 37 1.4k

Countries citing papers authored by Fang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Chen. A scholar is included among the top collaborators of Fang Chen 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 Fang Chen. Fang Chen 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.
2.
Zhang, Jia, Xiangjun Wu, Leilei Zhang, et al.. (2025). Differential diagnosis of acute myocardial infarction based on plasma Exosomal MicroRNA. International Journal of Legal Medicine. 140(1). 29–39. 2 indexed citations
3.
4.
Chen, Fang, Chuan Shen, Mingxuan Feng, et al.. (2024). High intra-patient variability of tacrolimus within post-operative 1 month predicted worse 1-year outcomes in pediatric liver transplant recipients. European Journal of Clinical Pharmacology. 80(7). 1017–1027. 6 indexed citations
5.
Yu, Xuben, Chuang Chen, Fang Chen, et al.. (2023). Simvastatin ameliorates synaptic plasticity impairment in chronic mild stress-induced depressed mice by modulating hippocampal NMDA receptor. Psychopharmacology. 241(1). 75–88. 5 indexed citations
6.
Chen, Fang, Peng Zhou, Ran Li, et al.. (2023). Development of a novel forensic age estimation strategy for aged blood samples by combining piRNA and miRNA markers. International Journal of Legal Medicine. 137(5). 1327–1335. 9 indexed citations
7.
Wang, Wenjuan, Li Zhang, Cai-Yun Deng, et al.. (2022). In utero exposure to methylmercury impairs cognitive function in adult offspring: Insights from proteomic modulation. Ecotoxicology and Environmental Safety. 231. 113191–113191. 8 indexed citations
8.
Jia, Juan, Xu Liu, Fang Chen, et al.. (2021). Development and validation of a multiplex 19 X-chromosomal short tandem repeats typing system for forensic purposes. Scientific Reports. 11(1). 609–609. 10 indexed citations
9.
Chen, Fang, Xu Liu, Jing Zhao, et al.. (2020). Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study. Forensic Science International Genetics. 47. 102300–102300. 21 indexed citations
10.
Chen, Gangling, Guoliang Meng, Fang Chen, et al.. (2018). Neuroprotective effect of mogrol against Aβ1–42-induced memory impairment neuroinflammation and apoptosis in mice. Journal of Pharmacy and Pharmacology. 71(5). 869–877. 28 indexed citations
11.
Zhang, Haohua, et al.. (2016). Clinical Evaluation and Gait Characteristics before and after Total Knee Arthroplasty Based on a Portable Gait Analyzer. Orthopaedic Surgery. 8(3). 360–366. 20 indexed citations
12.
Wang, Yunlong, Li Ding, Junmeng Zhang, et al.. (2015). Focal atrial tachycardia originating from the septal mitral annulus: electrocardiographic and electrophysiological characteristics and radiofrequency ablation. EP Europace. 18(7). 1061–1068. 5 indexed citations
13.
Koifman, Edward, Sarkis Kiramijyan, Ricardo O. Escárcega, et al.. (2015). Impact of Pre-Procedural Serum Albumin Levels on Outcome of Patients Undergoing Transcatheter Aortic Valve Replacement. The American Journal of Cardiology. 115(9). 1260–1264. 39 indexed citations
14.
Minha, Sa’ar, Itsik Ben‐Dor, Lakshmana Pendyala, et al.. (2014). DOES MILD AORTIC REGURGITATION IN PATIENTS POST-TRANSCATHETER AORTIC VALVE REPLACEMENT IMPACT MORTALITY?. Journal of the American College of Cardiology. 63(12). A1726–A1726. 1 indexed citations
15.
Escárcega, Ricardo O., Michael J. Lipinski, Marco A. Magalhães, et al.. (2014). Impact of Blood Transfusions on Short- and Long-Term Mortality in Patients Who Underwent Transcatheter Aortic Valve Implantation. The American Journal of Cardiology. 115(1). 93–99. 23 indexed citations
16.
17.
Chen, Fang. (2012). Duration of dual antiplatelet therapy after implantation of drug-eluting stents. 1 indexed citations
18.
Wang, Guyan, et al.. (2011). Effect of tranexamic acid on inflammatory response in pafiens undergoing off-pump coronary artery bypass grafting. Zhonghua mazuixue zazhi. 31(7). 781–783. 1 indexed citations
19.
Liu, Xiaohui, Shaoping Nie, Qiang Lü, et al.. (2010). Prognostic value of baseline C-reactive protein levels in patients undergoing coronary revascularization. Chinese Medical Journal. 123(13). 1628–1632. 5 indexed citations
20.
Ma, Changsheng, Shaoping Nie, Xiaohui Liu, et al.. (2009). Twelve Months Clinical Outcome of Drug‐Eluting Stents Implantation or Coronary Artery Bypass Surgery for the Treatment of Diabetic Patients with Multivessel Disease. Clinical Cardiology. 32(8). E24–30. 15 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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