Michael D. Puchalski
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 5%
- Molecular Biology
- Co-authors
- L. LuAnn MinichRichard V. WilliamsLloyd Y. TaniNelangi M. PintoShaji C. MenonC. Todd SowerJohn A. HawkinsThomas A. Miller
- Topics
- Congenital Heart Disease Studies (41 papers)Cardiac Structural Anomalies and Repair (11 papers)Cardiovascular Function and Risk Factors (10 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesCanadaTunisia
In The Last Decade
Michael D. Puchalski
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 78
- Epidemiology 1.2k
- Cardiology and Cardiovascular Medicine 978
- Pulmonary and Respiratory Medicine 651
- Surgery 608
- Molecular Biology 261
Countries citing papers authored by Michael D. Puchalski
This map shows the geographic impact of Michael D. Puchalski'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 D. Puchalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Puchalski more than expected).
Fields of papers citing papers by Michael D. Puchalski
This network shows the impact of papers produced by Michael D. Puchalski. 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 D. Puchalski. The network helps show where Michael D. Puchalski may publish in the future.
Co-authorship network of co-authors of Michael D. Puchalski
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Puchalski. A scholar is included among the top collaborators of Michael D. Puchalski 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 Michael D. Puchalski. Michael D. Puchalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 9 | |
| 4 | 58 | |
| 5 | 1 | |
| 6 | Abstract 13241: Effect of Left Ventricular Assist Devices on Defibrillation Thresholds a Computational Simulation | 1 |
| 7 | 31 | |
| 8 | 108 | |
| 9 | 20 | |
| 10 | 37 | |
| 11 | 37 | |
| 12 | 16 | |
| 13 | 42 | |
| 14 | 93 | |
| 15 | 1 | |
| 16 | 84 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 1 | |
| 20 | 31 |
About Michael D. Puchalski
Michael D. Puchalski is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (41 papers), Cardiac Structural Anomalies and Repair (11 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (978 citations), Epidemiology (1.2k citations) and Pulmonary and Respiratory Medicine (651 citations). Michael D. Puchalski has collaborated with scholars based in United States, Canada and Tunisia. Frequent co-authors include L. LuAnn Minich, Richard V. Williams, Lloyd Y. Tani, Nelangi M. Pinto, Shaji C. Menon, C. Todd Sower, John A. Hawkins, Thomas A. Miller, Jason T. Su and Lorenzo D. Botto. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.