Jielin Pu

3.1k total citations
73 papers, 2.5k citations indexed

About

Jielin Pu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jielin Pu has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 36 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jielin Pu's work include Cardiac electrophysiology and arrhythmias (48 papers), Ion channel regulation and function (27 papers) and Cardiac Arrhythmias and Treatments (19 papers). Jielin Pu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (48 papers), Ion channel regulation and function (27 papers) and Cardiac Arrhythmias and Treatments (19 papers). Jielin Pu collaborates with scholars based in China, United States and United Kingdom. Jielin Pu's co-authors include Penelope A. Boyden, Jonathan C. Makielski, Carmen R. Valdivia, Charles Burant, William A. Chutkow, Matthew T. Wheeler, Tomoyuki Wada, Elizabeth M. McNally, Timothy J. Kamp and Robert A. Haworth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jielin Pu

73 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jielin Pu China 22 1.5k 1.5k 385 338 242 73 2.5k
Christian Holubarsch Germany 22 1.0k 0.7× 1.8k 1.2× 132 0.3× 157 0.5× 160 0.7× 46 2.6k
Lufang Zhou United States 29 1.4k 0.9× 641 0.4× 144 0.4× 262 0.8× 176 0.7× 77 2.2k
Sauri Hernández‐Reséndiz Mexico 21 972 0.6× 597 0.4× 146 0.4× 426 1.3× 64 0.3× 35 1.8k
Masaki Ikeuchi Japan 13 1.2k 0.8× 1.1k 0.7× 316 0.8× 340 1.0× 55 0.2× 20 2.3k
Wesley W. Brooks United States 24 934 0.6× 1.7k 1.1× 111 0.3× 334 1.0× 147 0.6× 51 2.5k
Weike Bao United States 19 915 0.6× 562 0.4× 153 0.4× 640 1.9× 169 0.7× 26 2.1k
Néstor G. Pérez Argentina 27 1.3k 0.8× 1.5k 1.0× 56 0.1× 349 1.0× 147 0.6× 58 2.2k
Vijayan Elimban Canada 26 961 0.6× 1.2k 0.8× 56 0.1× 395 1.2× 115 0.5× 90 2.0k
Zhi‐Dong Ge United States 26 746 0.5× 382 0.3× 191 0.5× 433 1.3× 101 0.4× 65 1.8k

Countries citing papers authored by Jielin Pu

Since Specialization
Citations

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

Fields of papers citing papers by Jielin Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jielin Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Jielin Pu. A scholar is included among the top collaborators of Jielin Pu 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 Jielin Pu. Jielin Pu 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.
Pu, Jielin, et al.. (2024). Case report: A case of blood culture-negative Bartonella quintana endocarditis: blood mNGS is an efficient method for early diagnosis. Frontiers in Medicine. 11. 1449637–1449637. 1 indexed citations
2.
Chen, Fang, Pengxia Wang, Yu Dong, et al.. (2022). Genome-Wide Association Study for Idiopathic Ventricular Tachyarrhythmias Identifies Key Role of CCR7 and PKN2 in Calcium Homeostasis and Cardiac Rhythm Maintenance. Circulation Genomic and Precision Medicine. 15(5). e003603–e003603. 5 indexed citations
3.
Zhou, Di, Arlene Sirajuddin, Weichun Wu, et al.. (2021). CMR Characteristics, gene variants and long-term outcome in patients with left ventricular non-compaction cardiomyopathy. Insights into Imaging. 12(1). 184–184. 5 indexed citations
4.
Li, Yi‐Ping, Dong Zhang, Chenxi Song, et al.. (2017). Investigation of novel metabolites potentially involved in the pathogenesis of coronary heart disease using a UHPLC-QTOF/MS-based metabolomics approach. Scientific Reports. 7(1). 15357–15357. 43 indexed citations
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Zhao, Shuang, Keping Chen, Yangang Su, et al.. (2015). The role of variability in night-time mean heart rate on the prediction of ventricular arrhythmias and all-cause mortality in implantable cardioverter defibrillator patients. EP Europace. 17(suppl 2). ii76–ii82. 6 indexed citations
9.
Hu, Roumu, et al.. (2014). Gene Expression Profile of Increased Heart Rate in Shensongyangxin‐Treated Bradycardia Rabbits. Evidence-based Complementary and Alternative Medicine. 2014(1). 715937–715937. 7 indexed citations
10.
Cheng, Huaibing, Minjie Lu, Xuhua Chen, et al.. (2014). Comparative study of CMR characteristics between arrhythmogenic right ventricular cardiomyopathy patients with/without syncope. International journal of cardiac imaging. 30(7). 1365–1372. 7 indexed citations
11.
Liu, Xiaoyan, Wei Wei, Jianmin Chu, et al.. (2014). Variations of electroanatomic substrates and markers of successful ablation in idiopathic left ventricular tachycardia. Journal of Cardiovascular Medicine. 15(8). 659–667. 2 indexed citations
12.
Liu, Yunfang, Ning Li, Zhenhua Jia, Feng Lü, & Jielin Pu. (2014). Chinese Medicine Shensongyangxin Is Effective for Patients with Bradycardia: Results of a Randomized, Double‐Blind, Placebo‐Controlled Multicenter Trial. Evidence-based Complementary and Alternative Medicine. 2014(1). 605714–605714. 29 indexed citations
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Chu, Jianmin, Yingjie Zhao, Wei Wei, et al.. (2012). Identification of the Slow Conduction Zone in a Macroreentry Circuit of Verapamil‐Sensitive Idiopathic Left Ventricular Tachycardia Using Electroanatomic Mapping. Journal of Cardiovascular Electrophysiology. 23(8). 840–845. 12 indexed citations
15.
Wang, Rongrong, et al.. (2011). The effects of paeoniflorin monomer of a Chinese herb on cardiac ion channels.. PubMed. 124(19). 3105–11. 10 indexed citations
16.
Wei, Hua, Jun Zhu, Yanmin Yang, et al.. (2010). Nifekalant hydrochloride terminating sustained ventricular tachycardia accompanied with QT dispersion prolongation.. PubMed. 123(15). 2028–33. 2 indexed citations
17.
Sun, Qi, Min Tang, Jielin Pu, & Shu Zhang. (2008). Pulmonary venous structural remodelling in a canine model of chronic atrial dilation due to mitral regurgitation. Canadian Journal of Cardiology. 24(4). 305–308. 8 indexed citations
18.
Wang, Hongyue, et al.. (2007). Flavivirus-like particles in the cardiac myocyte of a patient with arrhythmogenic right ventricular cardiomyopathy. Chinese Medical Journal. 120(24). 2337–2338. 1 indexed citations
19.
Yao, Yan, Shu Zhang, Ding Sheng He, et al.. (2007). Radiofrequency Ablation of the Ventricular Tachycardia with Arrhythmogenic Right Ventricular Cardiomyopathy Using Non‐contact Mapping. Pacing and Clinical Electrophysiology. 30(4). 526–533. 38 indexed citations
20.
Chutkow, William A., Jielin Pu, Matthew T. Wheeler, et al.. (2002). Episodic coronary artery vasospasm and hypertension develop in the absence of Sur2 KATP channels. Journal of Clinical Investigation. 110(2). 203–208. 11 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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