Brian Reardon
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Glass properties and applications
Papers in
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- X-ray Diffraction in Crystallography 3
- Material Dynamics and Properties 2
- Co-authors
- C. R. Hubbard (4 shared papers)Marius Stan (1 shared paper)Lin Sun (1 shared paper)Michael Basson (1 shared paper)Gary Hardiman (1 shared paper)Carl D. Johnson (1 shared paper)Ralph Clover (1 shared paper)Bethany Westlund (1 shared paper)
- Journals
- Modelling and Simulation in Materials Science and Engineering (3 papers)Immunology (1 paper)Molecular & Cellular Proteomics (1 paper)Philosophical Magazine B (1 paper)Journal of Non-Crystalline Solids (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brian Reardon
23 papers receiving 345 citations
Peers
Comparison fields: 5 of 84
- Aging 99
- Ceramics and Composites 32
- Endocrine and Autonomic Systems 30
- Condensed Matter Physics 31
- Virology 11
Countries citing papers authored by Brian Reardon
This map shows the geographic impact of Brian Reardon'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 Reardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Reardon more than expected).
Fields of papers citing papers by Brian Reardon
This network shows the impact of papers produced by Brian Reardon. 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 Reardon. The network helps show where Brian Reardon may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Reardon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 148 | |
| 2 | 2003 | 26 | |
| 3 | 1995 | 20 | |
| 4 | 1993 | 19 | |
| 5 | 1992 | 18 | |
| 6 | 1998 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 1992 | 11 | |
| 9 | 1995 | 10 | |
| 10 | 2003 | 9 | |
| 11 | 2013 | 8 | |
| 12 | 2006 | 8 | |
| 13 | 1998 | 7 | |
| 14 | 1998 | 7 | |
| 15 | 2000 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 1992 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 1993 | 3 | |
| 20 | 1999 | 3 |
About Brian Reardon
Brian Reardon is a scholar working on Molecular Biology, Materials Chemistry, Mechanical Engineering, Condensed Matter Physics and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (4 papers), Powder Metallurgy Techniques and Materials (4 papers), Glass properties and applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), X-ray Diffraction in Crystallography (3 papers), Physics of Superconductivity and Magnetism (2 papers), Material Dynamics and Properties (2 papers) and Geological and Geochemical Analysis (2 papers). The work is most often cited by research in Aging (99 citations), Ceramics and Composites (32 citations), Endocrine and Autonomic Systems (30 citations), Condensed Matter Physics (31 citations) and Virology (11 citations). Brian Reardon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include C. R. Hubbard, Marius Stan, Lin Sun, Michael Basson, Gary Hardiman, Carl D. Johnson, Ralph Clover, Bethany Westlund, Jing Chen and Leo X. Liu. Their work appears in journals such as Modelling and Simulation in Materials Science and Engineering, Immunology, Molecular & Cellular Proteomics, Philosophical Magazine B and Journal of Non-Crystalline Solids.
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.