Barry Shaw
Impact in
- Small Animals top 5%
- Brucella: diagnosis, epidemiology, treatment
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 5
- Glycosylation and Glycoproteins Research 2
- Oncology 8
- Bone health and treatments 5
- Co-authors
- Robert Layfield (19 shared papers)Mark S. Searle (9 shared papers)Jed Long (7 shared papers)A.H. Marshall (7 shared papers)Michael Rittig (2 shared papers)Alice Goode (3 shared papers)Thomas P. Garner (4 shared papers)James R. Cavey (4 shared papers)
- Journals
- Journal of Bone and Mineral Research (2 papers)iScience (2 papers)Journal of Molecular Biology (2 papers)Cellular Microbiology (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Barry Shaw
34 papers receiving 906 citations
Peers
Comparison fields: 5 of 129
- Small Animals 94
- Neurology 115
- Epidemiology 242
- Endocrinology 39
- Biomaterials 74
Countries citing papers authored by Barry Shaw
This map shows the geographic impact of Barry Shaw'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 Barry Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Shaw more than expected).
Fields of papers citing papers by Barry Shaw
This network shows the impact of papers produced by Barry Shaw. 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 Barry Shaw. The network helps show where Barry Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Barry Shaw, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 126 | |
| 2 | 2016 | 121 | |
| 3 | 2002 | 92 | |
| 4 | 2009 | 85 | |
| 5 | 2009 | 50 | |
| 6 | 2016 | 47 | |
| 7 | 2008 | 45 | |
| 8 | 2003 | 45 | |
| 9 | 1990 | 45 | |
| 10 | 2011 | 29 | |
| 11 | 2019 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2006 | 23 | |
| 14 | 2009 | 22 | |
| 15 | 2007 | 22 | |
| 16 | 2011 | 17 | |
| 17 | 2006 | 17 | |
| 18 | 2012 | 15 | |
| 19 | 1992 | 12 | |
| 20 | 2017 | 9 |
About Barry Shaw
Barry Shaw is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Economics and Econometrics, having authored 35 papers that have together received 930 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Bone health and treatments (5 papers), Healthcare Operations and Scheduling Optimization (4 papers), Autophagy in Disease and Therapy (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), NF-κB Signaling Pathways (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Small Animals (94 citations), Neurology (115 citations), Epidemiology (242 citations), Endocrinology (39 citations) and Biomaterials (74 citations). Barry Shaw has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Robert Layfield, Mark S. Searle, Jed Long, A.H. Marshall, Michael Rittig, Alice Goode, Thomas P. Garner, James R. Cavey, Michael P. Steinkampf and Elisabetta Verderio. Their work appears in journals such as Journal of Bone and Mineral Research, iScience, Journal of Molecular Biology, Cellular Microbiology and Journal of Leukocyte Biology.
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.