M. Dan McKirnan
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery
- Genetics top 10%
- Complementary and alternative medicine top 2%
- Co-authors
- H. Kirk HammondF. C. WhitePeipei PingColin M. BloorWolfgang DillmannAnthony N. DeMariaShiro NozakiOdile Mathieu‐Costello
- Topics
- Cardiovascular and exercise physiology (11 papers)Cardiovascular Function and Risk Factors (9 papers)Virus-based gene therapy research (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and alternative medicineMolecular Biology
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
M. Dan McKirnan
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 832
- Molecular Biology 680
- Surgery 244
- Genetics 225
- Complementary and alternative medicine 209
Countries citing papers authored by M. Dan McKirnan
This map shows the geographic impact of M. Dan McKirnan'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 M. Dan McKirnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dan McKirnan more than expected).
Fields of papers citing papers by M. Dan McKirnan
This network shows the impact of papers produced by M. Dan McKirnan. 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 M. Dan McKirnan. The network helps show where M. Dan McKirnan may publish in the future.
Co-authorship network of co-authors of M. Dan McKirnan
This figure shows the co-authorship network connecting the top 25 collaborators of M. Dan McKirnan. A scholar is included among the top collaborators of M. Dan McKirnan 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 M. Dan McKirnan. M. Dan McKirnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 43 | |
| 7 | 29 | |
| 8 | 95 | |
| 9 | 14 | |
| 10 | 370 | |
| 11 | 5 | |
| 12 | 44 | |
| 13 | 18 | |
| 14 | 40 | |
| 15 | 32 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 17 | |
| 20 | 27 |
About M. Dan McKirnan
M. Dan McKirnan is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (11 papers), Cardiovascular Function and Risk Factors (9 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (832 citations), Complementary and alternative medicine (209 citations) and Molecular Biology (680 citations). M. Dan McKirnan has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include H. Kirk Hammond, F. C. White, Peipei Ping, Colin M. Bloor, Wolfgang Dillmann, Anthony N. DeMaria, Shiro Nozaki, Odile Mathieu‐Costello, Frank J. Giordano and John Ross. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.
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.