Michael Maysky

1.8k citations
18 papers · 1.4k indexed · 1 hit paper · h-index 7

Impact in

Papers in

Michael Maysky

17 papers receiving 1.4k citations

Hit Papers

Gene Therapy for Myocardial Angiogenesis 1998 · 763 citations
7631998202620072016250500750

Peers

Michael Maysky
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 370
  • Biomaterials 188
  • Molecular Biology 908
  • Surgery 572
  • Genetics 133
Replace Shailen R. Patel with:
Shailen R. Patel United States
Kishor G. Lathi United States
Darryl D. Esakof United States
Daisy F. Lazarous United States
Orit Manor Israel
Richard Blair United States
Laura Haley United States
Susan Rossow United States
Alan B. Ashare United States
Peter R. Vale United States
Michael Maysky relative to Shailen R. Patel United States Shailen R. Patel's profile →
Citations per field
00.5×3.5×
Shailen R. Patel · 1×
Citations per year

Countries citing papers authored by Michael Maysky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Maysky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 20242
2 20230
3 20204
4 20201
5 20201
6 202030
7 20123
8 20111
9 20104
10 20095
11 20084
12 200826
13 20085
14 200148
15 2001225
16 2000242
17 199939
18
Gene Therapy for Myocardial Angiogenesis
Hit paper breakdown →
1998763

About Michael Maysky

Michael Maysky is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Biomaterials, Surgery and Obstetrics and Gynecology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pericarditis and Cardiac Tamponade (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiac Valve Diseases and Treatments (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiovascular Function and Risk Factors (2 papers), Coronary Interventions and Diagnostics (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (370 citations), Biomaterials (188 citations), Molecular Biology (908 citations), Surgery (572 citations) and Genetics (133 citations). Michael Maysky has collaborated with scholars based in United States, Australia and Pakistan. Frequent co-authors include Darryl D. Esakof, Peter R. Vale, James F. Symes, Douglas W. Losordo, Jeffrey M. Isner, Kishor G. Lathi, Alan B. Ashare, Charles E. Milliken, Jeffrey M. Isner and Rizwan Ahmad Khan. Their work appears in journals such as Circulation, Open Heart, Canadian Medical Association Journal, Human Gene Therapy 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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