Weikang Ma

2.2k citations
79 papers · 1.4k · h-index 22

Impact in

    • Cardiomyopathy and Myosin Studies
    • Cardiovascular Effects of Exercise
    • Cardiovascular Function and Risk Factors
    • Viral Infections and Immunology Research
    • Cardiac electrophysiology and arrhythmias
    • Muscle Physiology and Disorders

Papers in

Weikang Ma

71 papers receiving 1.4k citations

Peers

Weikang Ma
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 1.1k
  • Molecular Biology 658
  • Cell Biology 85
  • Genetics 48
  • Developmental Neuroscience 18
Replace Michael J. Previs with:
Michael J. Previs United States
Gerrie P. Farman United States
James W. McNamara United States
Alexandra Freiburg Germany
Christian Geier Germany
Shahin Hassanzadeh United States
R E Larson Brazil
Elisabetta Brunello United Kingdom
Marco Caremani Italy
Robert Stehle Germany
Weikang Ma relative to Michael J. Previs United States Michael J. Previs's profile →
Citations per field
00.5×1.5×2.0×
Michael J. Previs · 1×
Citations per year

Countries citing papers authored by Weikang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weikang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018310
2 202157
3 201853
4 201850
5 201843
6 202241
7 202337
8 201934
9 202134
10 202234
11 202234
12 202033
13 202133
14 202233
15 201832
16 201931
17 202229
18 202329
19 202026
20 202426

About Weikang Ma

Weikang Ma is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Orthopedics and Sports Medicine, Neurology and Biomedical Engineering, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (60 papers), Muscle Physiology and Disorders (32 papers), Cardiovascular Effects of Exercise (26 papers), Cardiovascular Function and Risk Factors (7 papers), Force Microscopy Techniques and Applications (6 papers), Viral Infections and Immunology Research (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (658 citations), Cell Biology (85 citations), Genetics (48 citations) and Developmental Neuroscience (18 citations). Weikang Ma has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Thomas C. Irving, Henry M. Gong, Fiona L. Wong, Robert Lee Anderson, Marcus P. Henze, Eric M. Green, Jonathan G. Seidman, Christopher S. Rogers, Darshan V. Trivedi and Makenna M. Morck. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences, The Journal of General Physiology and The Journal of 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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