Patrick G. Shaw
- Genetics top 5%
- Neurology top 5%
- Molecular Biology top 10%
- Histone Deacetylase Inhibitors Research 4
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Genomics and Chromatin Dynamics 2
- Glycosylation and Glycoproteins Research 1
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- Peptidase Inhibition and Analysis 2
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- Amino Acid Enzymes and Metabolism 1
- Co-authors
- Akhilesh PandeyNancy E. DavidsonMin‐Sik KimRita SattlerJiou WangChristopher J. DonnellyNicholas J. MaragakisJeffrey D. Rothstein
- Cited by
- GeneticsNeurologyMolecular Biology
- Journals
- Breast Cancer Research and Treatment (3 papers)PROTEOMICS (2 papers)PLoS Pathogens (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Patrick G. Shaw
13 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Genetics 239
- Neurology 332
- Molecular Biology 985
- Cellular and Molecular Neuroscience 125
- Cancer Research 90
Countries citing papers authored by Patrick G. Shaw
This map shows the geographic impact of Patrick G. 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 Patrick G. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick G. Shaw more than expected).
Fields of papers citing papers by Patrick G. Shaw
This network shows the impact of papers produced by Patrick G. 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 Patrick G. Shaw. The network helps show where Patrick G. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick G. 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
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of Immersion Time Limits for Risk of Hypothermia during Waterborne Movements at U.S. Army Ranger School | 2020 | 1 |
| 2 | 2015 | 50 | |
| 3 | C9orf72 nucleotide repeat structures initiate molecular cascades of diseasebreakdown → | 2014 | 730 |
| 4 | 2014 | 34 | |
| 5 | 2013 | 24 | |
| 6 | 2011 | 108 | |
| 7 | 2011 | 5 | |
| 8 | 2011 | 208 | |
| 9 | 2010 | 39 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 18 | |
| 12 | 2008 | 60 | |
| 13 | 2007 | 12 |
About Patrick G. Shaw
Patrick G. Shaw is a scholar working on Occupational Therapy, Molecular Biology and Biochemistry, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (2 papers), Genomics and Chromatin Dynamics (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Genetics (239 citations), Neurology (332 citations) and Molecular Biology (985 citations). Patrick G. Shaw has collaborated with scholars based in United States and India. Frequent co-authors include Akhilesh Pandey, Nancy E. Davidson, Min‐Sik Kim, Rita Sattler, Jiou Wang, Christopher J. Donnelly, Nicholas J. Maragakis, Jeffrey D. Rothstein, Juan C. Troncoso and Aaron R. Haeusler. Their work appears in journals such as Breast Cancer Research and Treatment, PROTEOMICS, PLoS Pathogens, PROTEOMICS - CLINICAL APPLICATIONS 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.