Mark T. Schnepper
Impact in
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
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- Neuroscience and Neural Engineering
Papers in
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
- 3D Printing in Biomedical Research 2
- Microfluidic and Capillary Electrophoresis Applications 1
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- Pluripotent Stem Cells Research 2
- Receptor Mechanisms and Signaling 1
- Co-authors
- Christopher J. Long (3 shared papers)James J. Hickman (4 shared papers)Michael L. Shuler (2 shared papers)Lee Bridges (2 shared papers)Christopher W. McAleer (2 shared papers)Christoph Funk (1 shared paper)Candace Martin (1 shared paper)John W. Rumsey (1 shared paper)
- Journals
- Biotechnology Progress (2 papers)Science Translational Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Mark T. Schnepper
4 papers receiving 234 citations
Peers
Comparison fields: 5 of 48
- Biomedical Engineering 185
- Cellular and Molecular Neuroscience 50
- Hepatology 14
- Biophysics 7
- Oncology 28
Countries citing papers authored by Mark T. Schnepper
This map shows the geographic impact of Mark T. Schnepper'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 Mark T. Schnepper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Schnepper more than expected).
Fields of papers citing papers by Mark T. Schnepper
This network shows the impact of papers produced by Mark T. Schnepper. 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 Mark T. Schnepper. The network helps show where Mark T. Schnepper may publish in the future.
Co-authors
The 24 scholars most cited alongside Mark T. Schnepper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2019 | 72 | |
| 3 | 2015 | 21 | |
| 4 | 2020 | 2 |
About Mark T. Schnepper
Mark T. Schnepper is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy and Infectious Diseases, having authored 4 papers that have together received 243 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Pluripotent Stem Cells Research (2 papers), 3D Printing in Biomedical Research (2 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper), Analytical Chemistry and Chromatography (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Biomedical Engineering (185 citations), Cellular and Molecular Neuroscience (50 citations), Hepatology (14 citations), Biophysics (7 citations) and Oncology (28 citations). Mark T. Schnepper has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Christopher J. Long, James J. Hickman, Michael L. Shuler, Lee Bridges, Christopher W. McAleer, Christoph Funk, Candace Martin, John W. Rumsey, Adrian Roth and Daniel Elbrecht. Their work appears in journals such as Biotechnology Progress, Science Translational Medicine and Scientific Reports.
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.