Bette Kim

2.0k citations
15 papers · 706 · h-index 12

Impact in

Papers in

    • Cardiomyopathy and Myosin Studies 9
    • Takotsubo Cardiomyopathy and Associated Phenomena 3
    • Cardiac Health and Mental Health 1
    • ECG Monitoring and Analysis 1
    • Cardiovascular Function and Risk Factors 1
    • Cardiac Structural Anomalies and Repair 2

Bette Kim

15 papers receiving 687 citations

Peers

Bette Kim
Comparison fields: 5 of 31
  • Cardiology and Cardiovascular Medicine 567
  • Radiology, Nuclear Medicine and Imaging 105
  • Health Informatics 6
  • Epidemiology 118
  • Surgery 110
Replace Evann Eisenberg with:
Evann Eisenberg United States
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Miguel Silva Vieira Portugal
Yijian Li China
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Mariëlla E.C.J. Hassell Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Bette Kim

Since Specialization
Citations

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

Fields of papers citing papers by Bette Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016171
2 2007109
3 2013102
4 200070
5 202166
6 201542
7 201328
8 201323
9 201522
10 202122
11 202321
12 201814
13 20247
14 20206
15 20243

About Bette Kim

Bette Kim is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 15 papers that have together received 706 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiac Imaging and Diagnostics (2 papers), Trypanosoma species research and implications (1 paper), Cardiac Health and Mental Health (1 paper), ECG Monitoring and Analysis (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (567 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Health Informatics (6 citations), Epidemiology (118 citations) and Surgery (110 citations). Bette Kim has collaborated with scholars based in United States and Italy. Frequent co-authors include Mark V. Sherrid, Daniel G. Swistel, Sandhya K. Balaram, Leon Axel, Glenda Winson, Robert R. Sciacca, Steven R. Bergmann, Carlos L. Alviar, Dan L. Musat and Peter Homel. Their work appears in journals such as Journal of the American Society of Echocardiography, JACC. Cardiovascular imaging, Journal of the American College of Cardiology, Journal of Nuclear Cardiology and Journal of the American Heart Association.

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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