Chee Chew Lim

3.2k citations
38 papers · 2.5k · h-index 26

Impact in

Papers in

Chee Chew Lim

38 papers receiving 2.4k citations

Peers

Chee Chew Lim
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 1.1k
  • Pathology and Forensic Medicine 218
  • Molecular Biology 883
  • Cell Biology 197
  • Biophysics 70
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Norman Honbo United States
Lufang Zhou United States
Sang‐Ging Ong United States
Aijun Sun China
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Rumi Maruyama Japan
Ali El‐Armouche Germany
Congye Li China
Xiao-Ping Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by Chee Chew Lim

Since Specialization
Citations

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

Fields of papers citing papers by Chee Chew Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Chew Lim. 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 Chee Chew Lim. The network helps show where Chee Chew Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004242
2 2010212
3 2002181
4 2003174
5 2015136
6 2007132
7 2010110
8 2000110
9 2016105
10 201397
11 200389
12 201284
13 200683
14 200859
15 201557
16 201256
17 201353
18 199951
19 200950
20 200640

About Chee Chew Lim

Chee Chew Lim is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Cell Biology, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Cardiomyopathy and Myosin Studies (8 papers), Ion channel regulation and function (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Neuroscience and Neural Engineering (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Pathology and Forensic Medicine (218 citations), Molecular Biology (883 citations), Cell Biology (197 citations) and Biophysics (70 citations). Chee Chew Lim has collaborated with scholars based in United States, Switzerland and Hong Kong. Frequent co-authors include Ronglih Liao, Douglas B. Sawyer, Billy Chen, Laura Pentassuglia, Xuyang Peng, Carl S. Apstein, Michiel Helmes, Xinxin Guo, Joseph Loscalzo and Gabriela M. Kuster. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation Research, Biochemical and Biophysical Research Communications, American Journal of Physiology-Cell Physiology and The Journal of General Physiology.

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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