P. Li

666 citations
14 papers · 539 · h-index 9

Impact in

  • Aging top 10%
    • Cardiovascular Function and Risk Factors
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Fibrosis and Remodeling
    • Cardiomyopathy and Myosin Studies
    • Renin-Angiotensin System Studies

Papers in

    • Cardiomyopathy and Myosin Studies 7
    • Cardiovascular Function and Risk Factors 6
    • Cardiac electrophysiology and arrhythmias 4
    • Cardiovascular Effects of Exercise 1
    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 2

P. Li

14 papers receiving 524 citations

Peers

P. Li
Comparison fields: 5 of 69
  • Aging 38
  • Cardiology and Cardiovascular Medicine 279
  • Endocrine and Autonomic Systems 38
  • Molecular Biology 264
  • Pathology and Forensic Medicine 65
Replace Asim Dey with:
Asim Dey United States
Qinglei Zhu China
Cordelia J. Barrick United States
Jessica Sabourin France
Yanzhen Tan China
Firoozeh Salehzadeh Sweden
Albert Nguyen Canada
Andrea Elia Italy
Shubha V.Y. Raju United States
Chennian Xu China
P. Li relative to Asim Dey United States Asim Dey's profile →
Citations per field
00.5×1.7×
Asim Dey · 1×
Citations per year

Countries citing papers authored by P. Li

Since Specialization
Citations

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

Fields of papers citing papers by P. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Li Line = papers co-authored together P. Li links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996219
2 199567
3 199455
4 200147
5 199740
6 199531
7 199329
8 199316
9 19949
10 19948
11 19947
12 19926
13 19913
14 19922

About P. Li

P. Li is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Physiology, having authored 14 papers that have together received 539 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (2 papers), Hormonal Regulation and Hypertension (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Aging (38 citations), Cardiology and Cardiovascular Medicine (279 citations), Endocrine and Autonomic Systems (38 citations), Molecular Biology (264 citations) and Pathology and Forensic Medicine (65 citations). P. Li has collaborated with scholars based in United States and China. Frequent co-authors include Piero Anversa, Wei Cheng, G Olivetti, Edmund H. Sonnenblick, Krzysztof Reiss, Jan Kajstura, Sarangarajan Ranganathan, Leonard G. Meggs, J. M. Capasso and Yanmei Tian. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research and Journal of Pineal Research.

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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