Donald E. Spratt
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Mitochondrial Function and Pathology
- Biophysics top 5%
Papers in
-
- Ubiquitin and proteasome pathways 20
- Protein Degradation and Inhibitors 7
- Glycosylation and Glycoproteins Research 3
- Receptor Mechanisms and Signaling 3
- Physiology 15
- Nitric Oxide and Endothelin Effects 11
- Alzheimer's disease research and treatments 4
- Co-authors
- Gary S. Shaw (11 shared papers)Helen Walden (3 shared papers)J. Guy Guillemette (10 shared papers)Pascal Mercier (3 shared papers)Kathryn R. Barber (3 shared papers)Jacob D. Aguirre (2 shared papers)R.J. Martinez-Torres (2 shared papers)Yaya Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)FEBS Journal (2 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Donald E. Spratt
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 814
- Biophysics 59
- Neurology 144
- Epidemiology 294
- Physiology 219
Countries citing papers authored by Donald E. Spratt
This map shows the geographic impact of Donald E. Spratt'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 Donald E. Spratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald E. Spratt more than expected).
Fields of papers citing papers by Donald E. Spratt
This network shows the impact of papers produced by Donald E. Spratt. 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 Donald E. Spratt. The network helps show where Donald E. Spratt may publish in the future.
Co-authors
The 25 scholars most cited alongside Donald E. Spratt, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 214 | |
| 2 | 2015 | 155 | |
| 3 | 2013 | 114 | |
| 4 | 2020 | 92 | |
| 5 | 2021 | 44 | |
| 6 | 2016 | 44 | |
| 7 | 2004 | 43 | |
| 8 | 2012 | 41 | |
| 9 | 2007 | 41 | |
| 10 | 2006 | 40 | |
| 11 | 2008 | 34 | |
| 12 | 2012 | 27 | |
| 13 | 2007 | 24 | |
| 14 | 2014 | 22 | |
| 15 | 2010 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2011 | 18 | |
| 18 | 2018 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2013 | 13 |
About Donald E. Spratt
Donald E. Spratt is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Cell Biology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (20 papers), Cancer-related Molecular Pathways (11 papers), Nitric Oxide and Endothelin Effects (11 papers), Protein Degradation and Inhibitors (7 papers), Autophagy in Disease and Therapy (6 papers), Alzheimer's disease research and treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Molecular Biology (814 citations), Biophysics (59 citations), Neurology (144 citations), Epidemiology (294 citations) and Physiology (219 citations). Donald E. Spratt has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Gary S. Shaw, Helen Walden, J. Guy Guillemette, Pascal Mercier, Kathryn R. Barber, Jacob D. Aguirre, R.J. Martinez-Torres, Yaya Wang, Anning Zhou and Michãel Palmer. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, FEBS Journal and Analytical 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.