Michael G. Nanna

196 total papers · 2.2k total citations
93 papers, 1.2k citations indexed

About

Michael G. Nanna is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael G. Nanna has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cardiology and Cardiovascular Medicine, 40 papers in Surgery and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael G. Nanna's work include Acute Myocardial Infarction Research (27 papers), Cardiac Imaging and Diagnostics (25 papers) and Coronary Interventions and Diagnostics (22 papers). Michael G. Nanna is often cited by papers focused on Acute Myocardial Infarction Research (27 papers), Cardiac Imaging and Diagnostics (25 papers) and Coronary Interventions and Diagnostics (22 papers). Michael G. Nanna collaborates with scholars based in United States, United Kingdom and Canada. Michael G. Nanna's co-authors include Ann Marie Návar, Eric D. Peterson, Salim S. Virani, Tracy Y. Wang, Jennifer G. Robinson, Anne C. Goldberg, Véronique L. Roger, Peter W.F. Wilson, Abdulla A. Damluji and Michael J. Louie and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Michael G. Nanna

74 papers receiving 1.2k citations

Hit Papers

Sex Differences in the Us... 2019 2026 2021 2023 2019 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael G. Nanna 577 527 289 171 157 93 1.2k
Yashashwi Pokharel 501 0.9× 446 0.8× 187 0.6× 153 0.9× 84 0.5× 47 1.0k
Jordan B. King 782 1.4× 222 0.4× 176 0.6× 122 0.7× 97 0.6× 72 1.2k
Alexander T. Sandhu 1.0k 1.7× 212 0.4× 181 0.6× 212 1.2× 190 1.2× 111 1.5k
Dhruv Mahtta 491 0.9× 344 0.7× 114 0.4× 149 0.9× 62 0.4× 69 1.0k
Kamil F. Faridi 391 0.7× 300 0.6× 109 0.4× 158 0.9× 117 0.7× 58 956
Emily Atkins 783 1.4× 215 0.4× 124 0.4× 221 1.3× 89 0.6× 67 1.3k
Brandon K. Bellows 554 1.0× 304 0.6× 297 1.0× 307 1.8× 30 0.2× 91 1.4k
Margrét Leósdóttir 767 1.3× 357 0.7× 148 0.5× 187 1.1× 139 0.9× 83 1.4k
Jannick A N Dorresteijn 533 0.9× 313 0.6× 205 0.7× 300 1.8× 74 0.5× 67 1.2k
Ján Murín 780 1.4× 250 0.5× 139 0.5× 168 1.0× 49 0.3× 84 1.2k

Countries citing papers authored by Michael G. Nanna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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