Brian M. Paegel
- Biomedical Engineering top 2%
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Richard A. MathiesAlexander K. PriceJames R. SchererRobert G. BlazejSandro MatosevicV. CavettCharles A. EmrichGerald F. Joyce
- Topics
- Innovative Microfluidic and Catalytic Techniques Innovation (25 papers)Chemical Synthesis and Analysis (21 papers)Microfluidic and Capillary Electrophoresis Applications (20 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Brian M. Paegel
50 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 98
- Biomedical Engineering 1.4k
- Molecular Biology 1.3k
- Organic Chemistry 457
- Electrical and Electronic Engineering 425
- Radiology, Nuclear Medicine and Imaging 290
Countries citing papers authored by Brian M. Paegel
This map shows the geographic impact of Brian M. Paegel'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 Brian M. Paegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Paegel more than expected).
Fields of papers citing papers by Brian M. Paegel
This network shows the impact of papers produced by Brian M. Paegel. 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 Brian M. Paegel. The network helps show where Brian M. Paegel may publish in the future.
Co-authorship network of co-authors of Brian M. Paegel
This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Paegel. A scholar is included among the top collaborators of Brian M. Paegel 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 Brian M. Paegel. Brian M. Paegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 41 | |
| 7 | 45 | |
| 8 | 40 | |
| 9 | 96 | |
| 10 | 27 | |
| 11 | 55 | |
| 12 | 62 | |
| 13 | 131 | |
| 14 | 1 | |
| 15 | 56 | |
| 16 | 22 | |
| 17 | 51 | |
| 18 | 31 | |
| 19 | 64 | |
| 20 | 43 |
About Brian M. Paegel
Brian M. Paegel is a scholar working on Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (25 papers), Chemical Synthesis and Analysis (21 papers) and Microfluidic and Capillary Electrophoresis Applications (20 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Molecular Biology (1.3k citations) and Organic Chemistry (457 citations). Brian M. Paegel has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Richard A. Mathies, Alexander K. Price, James R. Scherer, Robert G. Blazej, Sandro Matosevic, V. Cavett, Charles A. Emrich, Gerald F. Joyce, Gary J. Wedemayer and Peter C. Simpson. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.