Daniel F. Lyons
Impact in
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- RNA Interference and Gene Delivery 2
- DNA and Nucleic Acid Chemistry 2
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- Cellular Mechanics and Interactions 2
- Co-authors
- David C. Kem (3 shared papers)John J. Correia (8 shared papers)Ronald D. Brown (1 shared paper)Gene L. Bidwell (4 shared papers)Dražen Raucher (4 shared papers)Sarah E. Morgan (1 shared paper)Amit Kumar (1 shared paper)Michael D. Hebert (1 shared paper)
- Journals
- Biophysical Journal (3 papers)Cytoskeleton (1 paper)Journal of Biological Chemistry (1 paper)Hypertension (1 paper)Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel F. Lyons
16 papers receiving 312 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 103
- Biomaterials 36
- Surgery 88
- Molecular Biology 132
- Genetics 42
Countries citing papers authored by Daniel F. Lyons
This map shows the geographic impact of Daniel F. Lyons'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 Daniel F. Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Lyons more than expected).
Fields of papers citing papers by Daniel F. Lyons
This network shows the impact of papers produced by Daniel F. Lyons. 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 Daniel F. Lyons. The network helps show where Daniel F. Lyons may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel F. Lyons, 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 | 1983 | 96 | |
| 2 | 2012 | 35 | |
| 3 | 2010 | 33 | |
| 4 | 2014 | 30 | |
| 5 | 2013 | 22 | |
| 6 | 2005 | 21 | |
| 7 | 2013 | 19 | |
| 8 | 1984 | 17 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2013 | 8 | |
| 12 | Fundamental limits of low-rate transform codes. | 1992 | 5 |
| 13 | Aerodynamic Analysis of a U.S. Navy and Marine Corps Unmanned Air Vehicle | 1989 | 3 |
| 14 | Vector quantizer designs for joint compression and terrain categorization of multispectral imagery | 1994 | 3 |
| 15 | 2011 | 1 | |
| 16 | 1992 | 1 |
About Daniel F. Lyons
Daniel F. Lyons is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Computer Vision and Pattern Recognition and Biomaterials, having authored 16 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Connective tissue disorders research (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Cellular Mechanics and Interactions (2 papers), Aerospace and Aviation Technology (2 papers), Advanced Data Compression Techniques (2 papers), RNA Interference and Gene Delivery (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), Biomaterials (36 citations), Surgery (88 citations), Molecular Biology (132 citations) and Genetics (42 citations). Daniel F. Lyons has collaborated with scholars based in United States. Frequent co-authors include David C. Kem, John J. Correia, Ronald D. Brown, Gene L. Bidwell, Dražen Raucher, Sarah E. Morgan, Amit Kumar, Michael D. Hebert, Vijayaraghavan Rangachari and Vu Le. Their work appears in journals such as Biophysical Journal, Cytoskeleton, Journal of Biological Chemistry, Hypertension and Biochemistry.
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.