Kevin T. Seale
- Biomedical Engineering top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Biophysics top 10%
- Co-authors
- John P. WikswoShannon L. FaleyDavid K. SchafferDonald WłodkowicMhairi CoplandFrederick R. HaseltonWalter KölchJohn A. McLean
- Topics
- Microfluidic and Bio-sensing Technologies (7 papers)3D Printing in Biomedical Research (5 papers)Microfluidic and Capillary Electrophoresis Applications (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kevin T. Seale
18 papers receiving 642 citations
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 505
- Molecular Biology 176
- Cellular and Molecular Neuroscience 57
- Electrical and Electronic Engineering 55
- Biophysics 44
Countries citing papers authored by Kevin T. Seale
This map shows the geographic impact of Kevin T. Seale'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 Kevin T. Seale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Seale more than expected).
Fields of papers citing papers by Kevin T. Seale
This network shows the impact of papers produced by Kevin T. Seale. 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 Kevin T. Seale. The network helps show where Kevin T. Seale may publish in the future.
Co-authorship network of co-authors of Kevin T. Seale
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin T. Seale. A scholar is included among the top collaborators of Kevin T. Seale based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin T. Seale. Kevin T. Seale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 19 | |
| 3 | 40 | |
| 4 | 137 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 117 | |
| 10 | 14 | |
| 11 | 121 | |
| 12 | DIFFERENTIAL OPTICAL FLOW FOR AUTOMATED CELL MOTILITY | 1 |
| 13 | 3 | |
| 14 | 60 | |
| 15 | 43 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | Osmotic transport coefficients measured by ultrasonic and impedance methods decrease significantly with vascular injury in dog lungs | 1 |
About Kevin T. Seale
Kevin T. Seale is a scholar working on Critical Care and Intensive Care Medicine, Biophysics and Biomedical Engineering, having authored 18 papers that have together received 652 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), 3D Printing in Biomedical Research (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). The work is most often cited by research in Biomedical Engineering (505 citations), Biophysics (44 citations) and Cellular and Molecular Neuroscience (57 citations). Kevin T. Seale has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John P. Wikswo, Shannon L. Faley, David K. Schaffer, Donald Włodkowic, Mhairi Copland, Frederick R. Haselton, Walter Kölch, John A. McLean, Shawn Levy and Jonathan M. Cooper. Their work appears in journals such as PLoS ONE, Analytical Biochemistry 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.