Meg M. Sleeper

3.1k citations
70 papers · 2.2k · h-index 31

Impact in

Papers in

Meg M. Sleeper

70 papers receiving 2.1k citations

Peers

Meg M. Sleeper
Comparison fields: 5 of 104
  • Equine 101
  • Cardiology and Cardiovascular Medicine 766
  • Radiology, Nuclear Medicine and Imaging 502
  • Genetics 529
  • Small Animals 131
Replace Kerstin Hansson with:
Kerstin Hansson Sweden
Kathryn M. Meurs United States
Toshiroh Iwasaki Japan
Ingrid Ljungvall Sweden
Andrew D. Miller United States
Ryohei Nishimura Japan
N. Sydney Moïse United States
K. G. Braund United States
Thomas Bilzer Germany
B. J. Cooper United States
Meg M. Sleeper relative to Kerstin Hansson Sweden Kerstin Hansson's profile →
Citations per field
00.5×1.5×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008221
2 2002132
3 200893
4 200289
5 200780
6 200862
7 201060
8 200657
9 201056
10 201053
11 201151
12 199946
13 200945
14 201044
15 200143
16 201043
17 200841
18 201141
19 201141
20 200439

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 Epidemiology, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (24 papers), Virus-based gene therapy research (14 papers), Lysosomal Storage Disorders Research (10 papers), Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Effects of Exercise (9 papers), Viral Infections and Immunology Research (8 papers), Muscle Physiology and Disorders (7 papers) and Trypanosoma species research and implications (6 papers). The work is most often cited by research in Equine (101 citations), Cardiology and Cardiovascular Medicine (766 citations), Radiology, Nuclear Medicine and Imaging (502 citations), Genetics (529 citations) and Small Animals (131 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 the American Veterinary Medical Association, Journal of Veterinary Internal Medicine, 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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