Patrick G. Shaw
Impact in
Papers in
-
- 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
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Co-authors
- Akhilesh Pandey (7 shared papers)Nancy E. Davidson (8 shared papers)Min‐Sik Kim (2 shared papers)Rita Sattler (1 shared paper)Aaron R. Haeusler (1 shared paper)Christopher J. Donnelly (1 shared paper)Juan C. Troncoso (1 shared paper)Jiou Wang (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (3 papers)PROTEOMICS (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Nature (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Patrick G. Shaw
13 papers receiving 1.3k citations
Patrick G. Shaw's Hit Papers
Peers
Comparison fields: 5 of 82
- Neurology 333
- Genetics 223
- Molecular Biology 948
- Cellular and Molecular Neuroscience 125
- Cancer Research 80
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-authors
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 | C9orf72 nucleotide repeat structures initiate molecular cascades of disease Hit paper breakdown → | 2014 | 739 |
| 2 | 2011 | 213 | |
| 3 | 2011 | 108 | |
| 4 | 2008 | 60 | |
| 5 | 2015 | 51 | |
| 6 | 2010 | 39 | |
| 7 | 2014 | 34 | |
| 8 | 2013 | 24 | |
| 9 | 2009 | 18 | |
| 10 | 2007 | 12 | |
| 11 | 2011 | 5 | |
| 12 | 2010 | 2 | |
| 13 | Evaluation of Immersion Time Limits for Risk of Hypothermia during Waterborne Movements at U.S. Army Ranger School | 2020 | 1 |
About Patrick G. Shaw
Patrick G. Shaw is a scholar working on Molecular Biology, Oncology, Occupational Therapy, Pharmacology and Genetics, 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), Occupational Health and Performance (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Neurology (333 citations), Genetics (223 citations), Molecular Biology (948 citations), Cellular and Molecular Neuroscience (125 citations) and Cancer Research (80 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, Aaron R. Haeusler, Christopher J. Donnelly, Juan C. Troncoso, Jiou Wang, Goran Periz and Nicholas J. Maragakis. Their work appears in journals such as Breast Cancer Research and Treatment, PROTEOMICS, PROTEOMICS - CLINICAL APPLICATIONS, Nature and PLoS ONE.
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.