Michael G. Nanna
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 5%
- Economics and Econometrics top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Ann Marie NávarEric D. PetersonSalim S. ViraniVéronique L. RogerAnne C. GoldbergJennifer G. RobinsonTracy Y. WangAbdulla A. Damluji
- Topics
- Acute Myocardial Infarction Research (28 papers)Cardiac Imaging and Diagnostics (25 papers)Coronary Interventions and Diagnostics (22 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael G. Nanna
75 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 592
- Surgery 538
- Economics and Econometrics 291
- Endocrinology, Diabetes and Metabolism 173
- Radiology, Nuclear Medicine and Imaging 159
Countries citing papers authored by Michael G. Nanna
This map shows the geographic impact of Michael G. Nanna'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 G. Nanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Nanna more than expected).
Fields of papers citing papers by Michael G. Nanna
This network shows the impact of papers produced by Michael G. Nanna. 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 G. Nanna. The network helps show where Michael G. Nanna may publish in the future.
Co-authorship network of co-authors of Michael G. Nanna
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Nanna. A scholar is included among the top collaborators of Michael G. Nanna 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 G. Nanna. Michael G. Nanna 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 43 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 10 |
About Michael G. Nanna
Michael G. Nanna is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (28 papers), Cardiac Imaging and Diagnostics (25 papers) and Coronary Interventions and Diagnostics (22 papers). The work is most often cited by research in Geriatrics and Gerontology (133 citations), Cardiology and Cardiovascular Medicine (592 citations) and Surgery (538 citations). Michael G. Nanna has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ann Marie Návar, Eric D. Peterson, Salim S. Virani, Véronique L. Roger, Anne C. Goldberg, Jennifer G. Robinson, Tracy Y. Wang, Abdulla A. Damluji, Peter W.F. Wilson and Qun Xiang. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal 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.