Scott M. Ebert

33 papers receiving 1.7k citations

Peers

Scott M. Ebert
Comparison fields: 5 of 110
  • Aging 58
  • Rehabilitation 168
  • Cell Biology 364
  • Physiology 569
  • Geriatrics and Gerontology 76
Replace Kale S. Bongers with:
Kale S. Bongers United States
Yun Chau Long Singapore
Steven D. Kunkel United States
Shylesh Bhaskaran United States
Huiyun Liang United States
Ramzi J. Khairallah United States
Carol Davis United States
Manju Kumari India
Teruhiko Shimokawa Japan
Leonardo Nogueira United States
Scott M. Ebert relative to Kale S. Bongers United States Kale S. Bongers's profile →
Citations per field
00.5×1.7×
Kale S. Bongers · 1×
Citations per year

Countries citing papers authored by Scott M. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011269
2 2012171
3 2012166
4 2013112
5 2010106
6 2014105
7 201491
8 201590
9 201670
10 201964
11 202052
12 201447
13 201640
14 202135
15 201733
16 201032
17 202129
18 201929
19 201921
20 200821

About Scott M. Ebert

Scott M. Ebert is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Cell Biology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Adipose Tissue and Metabolism (8 papers), Cardiomyopathy and Myosin Studies (7 papers), Genetic Neurodegenerative Diseases (5 papers), Muscle metabolism and nutrition (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Antimicrobial agents and applications (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Aging (58 citations), Rehabilitation (168 citations), Cell Biology (364 citations), Physiology (569 citations) and Geriatrics and Gerontology (76 citations). Scott M. Ebert has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Christopher M. Adams, Daniel K. Fox, Kale S. Bongers, Steven D. Kunkel, Michael C. Dyle, Steven A. Bullard, Jason M. Dierdorff, Manish Suneja, Fariborz Alipour and Richard K. Shields. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, The FASEB Journal, GeroScience and Current Opinion in Clinical Nutrition & Metabolic Care.

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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