Ivan P. Moskowitz

6.1k citations
72 papers · 3.8k · h-index 36

Impact in

Papers in

Ivan P. Moskowitz

71 papers receiving 3.7k citations

Peers

Ivan P. Moskowitz
Comparison fields: 5 of 106
  • Aging 148
  • Cardiology and Cardiovascular Medicine 996
  • Molecular Biology 2.8k
  • Genetics 628
  • Epidemiology 479
Replace Anthony B. Firulli with:
Anthony B. Firulli United States
Dennis Dooijes Netherlands
Roland G. Roberts United Kingdom
Michael Hesse Germany
Xingqun Liang United States
Kryn Stankunas United States
Mathew J. Thayer United States
Chulan Kwon United States
Rajan Jain United States
Peter Hackman Finland
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Citations per field
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Citations per year

Countries citing papers authored by Ivan P. Moskowitz

Since Specialization
Citations

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

Fields of papers citing papers by Ivan P. Moskowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan P. Moskowitz. 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 Ivan P. Moskowitz. The network helps show where Ivan P. Moskowitz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006245
2 2003239
3 2007206
4 2004166
5 2012157
6 2011155
7 2016121
8 2012118
9 2009106
10 2016104
11 2012102
12 200190
13 201884
14 202078
15 201177
16 199471
17 201468
18 201167
19 201766
20 199165

About Ivan P. Moskowitz

Ivan P. Moskowitz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Epidemiology and Surgery, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include Congenital heart defects research (31 papers), Congenital Heart Disease Studies (11 papers), Cardiomyopathy and Myosin Studies (11 papers), RNA Research and Splicing (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Cardiac Fibrosis and Remodeling (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Aging (148 citations), Cardiology and Cardiovascular Medicine (996 citations), Molecular Biology (2.8k citations), Genetics (628 citations) and Epidemiology (479 citations). Ivan P. Moskowitz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Christine E. Seidman, Jeffrey D. Steimle, Charles I. Berul, Joel H. Rothman, Jonathan G. Seidman, Marcelo A. Nóbrega, Michael Peterson, Andrew D. Hoffmann, Joshua Friedland‐Little and Vickas V. Patel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Development, eLife, Human Molecular Genetics and Circulation Research.

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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