Susan S. Kim
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Min ZhuoLong‐Jun WuHansen WangBradley P. KnightTao ChenKunjumon I. VadakkanGiannina DescalziHui Xu
- Topics
- Cardiac Arrhythmias and Treatments (21 papers)Cardiac electrophysiology and arrhythmias (15 papers)Cardiac pacing and defibrillation studies (12 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Susan S. Kim
53 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 912
- Physiology 868
- Cognitive Neuroscience 603
- Molecular Biology 592
- Cardiology and Cardiovascular Medicine 451
Countries citing papers authored by Susan S. Kim
This map shows the geographic impact of Susan S. 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 Susan S. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan S. Kim more than expected).
Fields of papers citing papers by Susan S. Kim
This network shows the impact of papers produced by Susan S. 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 Susan S. Kim. The network helps show where Susan S. Kim may publish in the future.
Co-authorship network of co-authors of Susan S. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Susan S. Kim. A scholar is included among the top collaborators of Susan S. Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan S. Kim. Susan S. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 76 | |
| 7 | 342 | |
| 8 | 45 | |
| 9 | Abstract 1585: Medtronic Sprint Fidelis Lead Recall: Determining the 5-Year Cost to Medicare | 1 |
| 10 | Abstract 2491: Same-Day Device Reimplantation Following Cardiovascular Implantable Electronic Device Extraction for Isolated Pocket Infection | 1 |
| 11 | 21 | |
| 12 | 74 | |
| 13 | 333 | |
| 14 | 50 | |
| 15 | 157 | |
| 16 | 2 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | Identifying controlled substance patterns of utilization requiring evaluation using administrative claims data. | 45 |
| 20 | 36 |
About Susan S. Kim
Susan S. Kim is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (21 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac pacing and defibrillation studies (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (912 citations), Physiology (868 citations) and Behavioral Neuroscience (116 citations). Susan S. Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Min Zhuo, Long‐Jun Wu, Hansen Wang, Bradley P. Knight, Tao Chen, Kunjumon I. Vadakkan, Giannina Descalzi, Hui Xu, Xiang‐Yao Li and Yuze Shang. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.