Shane T. Grosser
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- Innovative Microfluidic and Catalytic Techniques Innovation 11
- Microfluidic and Capillary Electrophoresis Applications 5
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- Analytical Chemistry and Chromatography 6
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- Enzyme Catalysis and Immobilization 5
- Chemical Synthesis and Analysis 3
- Protein purification and stability 3
- Advanced biosensing and bioanalysis techniques 2
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- Machine Learning in Materials Science 2
- Co-authors
- James SchneiderJonathan P. McMullenKerstin ZawatzkyChristopher J. WelchJacob H. ForstaterKevin StoneYining JiJason Mustakis
- Journals
- Analytical Chemistry (2 papers)The Journal of Physical Chemistry B (1 paper)Tetrahedron (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Shane T. Grosser
18 papers receiving 280 citations
Peers
Comparison fields: 5 of 53
- Biomedical Engineering 153
- Spectroscopy 44
- Molecular Biology 132
- Analytical Chemistry 18
- Computational Theory and Mathematics 28
Countries citing papers authored by Shane T. Grosser
This map shows the geographic impact of Shane T. Grosser'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 Shane T. Grosser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane T. Grosser more than expected).
Fields of papers citing papers by Shane T. Grosser
This network shows the impact of papers produced by Shane T. Grosser. 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 Shane T. Grosser. The network helps show where Shane T. Grosser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shane T. Grosser, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 18 | |
| 14 | 2019 | 16 | |
| 15 | 2019 | 34 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 2 | |
| 18 | 2008 | 22 | |
| 19 | 2007 | 26 | |
| 20 | 2006 | 26 |
About Shane T. Grosser
Shane T. Grosser is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry, having authored 22 papers that have together received 283 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Analytical Chemistry and Chromatography (6 papers), Enzyme Catalysis and Immobilization (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Chemical Synthesis and Analysis (3 papers), Protein purification and stability (3 papers), Machine Learning in Materials Science (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Biomedical Engineering (153 citations), Spectroscopy (44 citations) and Molecular Biology (132 citations). Shane T. Grosser has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James Schneider, Jonathan P. McMullen, Kerstin Zawatzky, Christopher J. Welch, Jacob H. Forstater, Kevin Stone, Yining Ji, Jason Mustakis, David Cookson and Ke Wang. Their work appears in journals such as Analytical Chemistry, The Journal of Physical Chemistry B and Tetrahedron.
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.