Fred W. Keeley
Impact in
- Biomaterials top 0.5%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
- Genetics top 0.5%
- Connective tissue disorders research
Papers in
- Genetics 59
- Connective tissue disorders research 57
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- Protease and Inhibitor Mechanisms 27
- Co-authors
- Lisa D. Muiznieks (18 shared papers)Ming Miao (17 shared papers)Catherine M. Bellingham (9 shared papers)Marlene Rabinovitch (8 shared papers)Anthony S. Weiss (3 shared papers)Paul Robson (10 shared papers)B. Lowell Langille (2 shared papers)Régis Pomès (4 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Matrix Biology (8 papers)Biopolymers (8 papers)Circulation Research (5 papers)Atherosclerosis (4 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Fred W. Keeley
100 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 139
- Biomaterials 1.2k
- Genetics 2.0k
- Immunology and Allergy 341
- Cancer Research 684
- Cell Biology 583
Countries citing papers authored by Fred W. Keeley
This map shows the geographic impact of Fred W. Keeley'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 Fred W. Keeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred W. Keeley more than expected).
Fields of papers citing papers by Fred W. Keeley
This network shows the impact of papers produced by Fred W. Keeley. 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 Fred W. Keeley. The network helps show where Fred W. Keeley may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred W. Keeley, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 309 | |
| 2 | 2012 | 281 | |
| 3 | 1994 | 239 | |
| 4 | 1989 | 230 | |
| 5 | 2003 | 208 | |
| 6 | 2017 | 198 | |
| 7 | 2010 | 194 | |
| 8 | 1993 | 155 | |
| 9 | 2003 | 140 | |
| 10 | 1996 | 139 | |
| 11 | 2005 | 129 | |
| 12 | 2001 | 129 | |
| 13 | 1984 | 122 | |
| 14 | 2010 | 119 | |
| 15 | 1991 | 110 | |
| 16 | 1992 | 104 | |
| 17 | 2018 | 99 | |
| 18 | 2004 | 97 | |
| 19 | 1994 | 87 | |
| 20 | 2005 | 84 |
About Fred W. Keeley
Fred W. Keeley is a scholar working on Genetics, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Biomaterials, having authored 101 papers that have together received 5.4k indexed citations. Recurring topics across this work include Connective tissue disorders research (57 papers), Protease and Inhibitor Mechanisms (27 papers), Aortic aneurysm repair treatments (15 papers), Cell Adhesion Molecules Research (15 papers), Silk-based biomaterials and applications (14 papers), Galectins and Cancer Biology (11 papers), Elasticity and Material Modeling (11 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Biomaterials (1.2k citations), Genetics (2.0k citations), Immunology and Allergy (341 citations), Cancer Research (684 citations) and Cell Biology (583 citations). Fred W. Keeley has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Lisa D. Muiznieks, Ming Miao, Catherine M. Bellingham, Marlene Rabinovitch, Anthony S. Weiss, Paul Robson, B. Lowell Langille, Régis Pomès, Glenda M. Wright and Simon Sharpe. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Biopolymers, Circulation Research and Atherosclerosis.
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.