Michael Kim

7.0k citations
200 papers · 4.5k indexed · 2 hit papers · h-index 31

Michael Kim

188 papers receiving 4.3k citations

Hit Papers

Estimation of Total Incremental Health Care Costs ...5902000202620082017100200300400500

Peers

Michael Kim
Comparison fields: 5 of 173
  • Cardiology and Cardiovascular Medicine 2.0k
  • Hepatology 643
  • Internal Medicine 124
  • Transplantation 67
  • Epidemiology 711
Replace Edward G. Grant with:
Edward G. Grant United States
Antonio Esposito Italy
Michael Sweeting United Kingdom
George W. Williams United States
Andrea Berghold Austria
Thomas Brückner Germany
Andreas Wienke Germany
Alexander Hapfelmeier Germany
Laurent Arnaud France
Hiroshi Takahashi Japan
Michael Kim relative to Edward G. Grant United States Edward G. Grant's profile →
Citations per field
00.5×
Edward G. Grant · 1×
Citations per year

Countries citing papers authored by Michael Kim

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20243
6 20237
7 20211
8 20184
9 20181
10 201718
11 20174
12 2014184
13 20144
14 201019
15 200917
16 200786
17 200546
18 20021
19 200226
20
When Nonuse is Useful: Bankruptcy Law in Post-Communist Central and Eastern Europe
19964

About Michael Kim

Michael Kim is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Emergency Medicine, Critical Care and Intensive Care Medicine and Filtration and Separation, having authored 200 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (51 papers), Atrial Fibrillation Management and Outcomes (46 papers), Cardiac electrophysiology and arrhythmias (33 papers), Cardiac pacing and defibrillation studies (29 papers), Cardiac Imaging and Diagnostics (13 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers) and Coronary Interventions and Diagnostics (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Hepatology (643 citations), Internal Medicine (124 citations), Transplantation (67 citations) and Epidemiology (711 citations). Michael Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kathy L. Schulman, Mehul Dalal, Stephen S. Johnston, Richard G. Trohman, Teresa L. Wright, Bradley P. Knight, Linda D. Ferrell, Marina Berenguer, Nancy L. Ascher and Jessica J. Watson. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, The American Journal of Cardiology, Heart Rhythm, Journal of the American College of Cardiology and Journal of Interventional Cardiac Electrophysiology.

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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