Meg M. Sleeper

3.1k citations
73 papers · 2.3k · h-index 31

Impact in

Papers in

Meg M. Sleeper

71 papers receiving 2.2k citations

Peers

Meg M. Sleeper
Comparison fields: 5 of 103
  • Equine 86
  • Cardiology and Cardiovascular Medicine 638
  • Radiology, Nuclear Medicine and Imaging 433
  • Genetics 533
  • Physiology 400
Replace Kerstin Hansson with:
Kerstin Hansson Sweden
Kathryn M. Meurs United States
K. G. Braund United States
Toshiroh Iwasaki Japan
Ryohei Nishimura Japan
Andrew D. Miller United States
B. J. Cooper United States
Nancy R. Cox United States
N. Sydney Moïse United States
George H. Cardinet United States
Meg M. Sleeper relative to Kerstin Hansson Sweden Kerstin Hansson's profile →
Citations per field
00.5×6.0×
Kerstin Hansson · 1×
Citations per year

Countries citing papers authored by Meg M. Sleeper

Since Specialization
Citations

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

Fields of papers citing papers by Meg M. Sleeper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meg M. Sleeper. 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 Meg M. Sleeper. The network helps show where Meg M. Sleeper may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008235
2 2002141
3 200895
4 200294
5 200782
6 200867
7 200663
8 201061
9 201058
10 201154
11 201054
12 199950
13 200150
14 201048
15 200946
16 201046
17 200845
18 201145
19 201143
20 200442

About Meg M. Sleeper

Meg M. Sleeper is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Physiology, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (21 papers), Virus-based gene therapy research (14 papers), Lysosomal Storage Disorders Research (10 papers), Viral Infections and Immunology Research (8 papers), Cardiomyopathy and Myosin Studies (8 papers), Muscle Physiology and Disorders (7 papers), Congenital heart defects research (5 papers) and Cardiovascular Effects of Exercise (5 papers). The work is most often cited by research in Equine (86 citations), Cardiology and Cardiovascular Medicine (638 citations), Radiology, Nuclear Medicine and Imaging (433 citations), Genetics (533 citations) and Physiology (400 citations). Meg M. Sleeper has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include H. Lee Sweeney, Lawrence T. Bish, Kevin Morine, Guangping Gao, James M. Wilson, Elisabeth R. Barton, Mark E. Haskins, Di Wu, Julio Sanmiguel and Katherine P. Ponder. Their work appears in journals such as Journal of Veterinary Internal Medicine, Journal of the American Veterinary Medical Association, Human Gene Therapy, Journal of Veterinary Cardiology and Molecular Therapy.

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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