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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- 3D Printing in Biomedical Research 2
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Microfluidic and Capillary Electrophoresis Applications 1
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- Pluripotent Stem Cells Research 2
- Receptor Mechanisms and Signaling 1
- Co-authors
- James J. Hickman (4 shared papers)Christopher J. Long (3 shared papers)Lee Bridges (2 shared papers)Christopher W. McAleer (2 shared papers)Michael L. Shuler (2 shared papers)Candace Martin (1 shared paper)Franz Schuler (1 shared paper)Adrian Roth (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 226 citations
Peers
Comparison fields: 5 of 50
- Biomedical Engineering 183
- Cellular and Molecular Neuroscience 54
- Hepatology 15
- Biophysics 7
- Molecular Biology 71
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 | 141 | |
| 2 | 2019 | 71 | |
| 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 235 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), 3D Printing in Biomedical Research (2 papers), Pluripotent Stem Cells Research (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Receptor Mechanisms and Signaling (1 paper), Analytical Chemistry and Chromatography (1 paper) and Microfluidic and Capillary Electrophoresis Applications (1 paper). The work is most often cited by research in Biomedical Engineering (183 citations), Cellular and Molecular Neuroscience (54 citations), Hepatology (15 citations), Biophysics (7 citations) and Molecular Biology (71 citations). Mark T. Schnepper has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include James J. Hickman, Christopher J. Long, Lee Bridges, Christopher W. McAleer, Michael L. Shuler, Candace Martin, Franz Schuler, Adrian Roth, Christoph Funk and John W. Rumsey. 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.