Lu Ren

525 citations
34 papers · 471 · h-index 14

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 14
    • Cardiac Fibrosis and Remodeling 2
    • Chemotherapy-induced cardiotoxicity and mitigation 1
    • Pluripotent Stem Cells Research 5
    • Ion channel regulation and function 2
    • Mitochondrial Function and Pathology 1

Lu Ren

30 papers receiving 463 citations

Peers

Lu Ren
Comparison fields: 5 of 48
  • Drug Discovery 1
  • Cardiology and Cardiovascular Medicine 127
  • Sensory Systems 14
  • Infectious Diseases 48
  • Molecular Biology 70
Replace Zhulan Cai with:
Zhulan Cai China
Soma Jobbagy United States
Juliana de Freitas Germano United States
Jennifer Lo Canada
G Dispersyn Netherlands
Fengxia Xiao Canada
Dustin R. Fraidenburg United States
Liaisan R. Arslanbaeva Italy
Maikel Farhan Canada
Bastian Stoffers Germany
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Citations per field
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Zhulan Cai · 1×
Citations per year

Countries citing papers authored by Lu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Ren, 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 Lu Ren Line = papers co-authored together Lu Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 202452
3 201740
4 202231
5 202129
6 202428
7 202024
8 201721
9 202019
10 201718
11 202017
12 202017
13 202017
14 202014
15 202113
16 202211
17 20249
18 20208
19 20228
20 20238

About Lu Ren

Lu Ren is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Infectious Diseases, Genetics and Pharmacology, having authored 34 papers that have together received 471 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (14 papers), Pluripotent Stem Cells Research (5 papers), COVID-19 Clinical Research Studies (2 papers), Ion channel regulation and function (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Inflammatory mediators and NSAID effects (1 paper), Mitochondrial Function and Pathology (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Drug Discovery (1 citation), Cardiology and Cardiovascular Medicine (127 citations), Sensory Systems (14 citations), Infectious Diseases (48 citations) and Molecular Biology (70 citations). Lu Ren has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nipavan Chiamvimonvat, Phung N. Thai, Shandong Yu, Lin Wu, Valeriy Timofeyev, Joseph C. Wu, Padmini Sirish, Hao Zhang, Ebenezer N. Yamoah and Qing Zhang. Their work appears in journals such as Stem Cell Research, Journal of the American Heart Association, Frontiers in Pharmacology, iScience and Proceedings of the National Academy of Sciences.

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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