Chad D. Markert
Impact in
Papers in
-
- Muscle Physiology and Disorders 8
-
- Muscle activation and electromyography studies 4
- Co-authors
- Yuanyuan Zhang (4 shared papers)Shantaram Bharadwaj (4 shared papers)Martin K. Childers (9 shared papers)Robert W. Grange (6 shared papers)Yingai Shi (2 shared papers)Steven T. Devor (3 shared papers)Anthony Atala (2 shared papers)Karl‐Erik Andersson (1 shared paper)
- Journals
- Muscle & Nerve (4 papers)Neuromuscular Disorders (2 papers)Human Molecular Genetics (1 paper)Journal of Immunological Methods (1 paper)Archives of Physical Medicine and Rehabilitation (1 paper)
- Partner nations
- United StatesGermanyIran
In The Last Decade
Chad D. Markert
24 papers receiving 821 citations
Peers
Comparison fields: 5 of 104
- Equine 30
- Genetics 106
- Rehabilitation 65
- Orthopedics and Sports Medicine 64
- Urology 44
Countries citing papers authored by Chad D. Markert
This map shows the geographic impact of Chad D. Markert'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 Chad D. Markert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad D. Markert more than expected).
Fields of papers citing papers by Chad D. Markert
This network shows the impact of papers produced by Chad D. Markert. 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 Chad D. Markert. The network helps show where Chad D. Markert may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad D. Markert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2013 | 116 | |
| 3 | 2013 | 106 | |
| 4 | 2005 | 67 | |
| 5 | 2011 | 58 | |
| 6 | 2011 | 44 | |
| 7 | 2010 | 43 | |
| 8 | 2010 | 41 | |
| 9 | 2004 | 36 | |
| 10 | 2009 | 34 | |
| 11 | 2009 | 31 | |
| 12 | 2004 | 26 | |
| 13 | 2010 | 20 | |
| 14 | 2008 | 19 | |
| 15 | 2018 | 14 | |
| 16 | 2011 | 14 | |
| 17 | 1985 | 9 | |
| 18 | 2019 | 4 | |
| 19 | 2006 | 3 | |
| 20 | 2018 | 2 |
About Chad D. Markert
Chad D. Markert is a scholar working on Molecular Biology, Biomedical Engineering, Rehabilitation, Cell Biology and Surgery, having authored 24 papers that have together received 847 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Exercise and Physiological Responses (7 papers), Muscle metabolism and nutrition (4 papers), Muscle activation and electromyography studies (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Genetic Neurodegenerative Diseases (2 papers), Cellular Mechanics and Interactions (2 papers) and Cardiovascular and exercise physiology (2 papers). The work is most often cited by research in Equine (30 citations), Genetics (106 citations), Rehabilitation (65 citations), Orthopedics and Sports Medicine (64 citations) and Urology (44 citations). Chad D. Markert has collaborated with scholars based in United States, Germany and Iran. Frequent co-authors include Yuanyuan Zhang, Shantaram Bharadwaj, Martin K. Childers, Robert W. Grange, Yingai Shi, Steven T. Devor, Anthony Atala, Karl‐Erik Andersson, Guihua Liu and Fabrisia Ambrosio. Their work appears in journals such as Muscle & Nerve, Neuromuscular Disorders, Human Molecular Genetics, Journal of Immunological Methods and Archives of Physical Medicine and Rehabilitation.
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.