Daniel Scott
Impact in
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- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Ubiquitin and proteasome pathways
- Chemical Synthesis and Analysis
Papers in
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- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 2
- Chemical Synthesis and Analysis 2
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- Click Chemistry and Applications 3
- Co-authors
- Robert Layfield (13 shared papers)Neil J. Oldham (10 shared papers)Mark S. Searle (5 shared papers)Jed Long (5 shared papers)Barry Shaw (4 shared papers)James R. Cavey (1 shared paper)Chris Gell (1 shared paper)Terje Johansen (1 shared paper)
- Journals
- PROTEOMICS (3 papers)Autophagy (1 paper)Proceedings of the National Academy of Sciences (1 paper)Protein Science (1 paper)Cells (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel Scott
15 papers receiving 362 citations
Peers
Comparison fields: 5 of 73
- Neurology 77
- Molecular Biology 218
- Spectroscopy 44
- Epidemiology 91
- Pharmaceutical Science 15
Countries citing papers authored by Daniel Scott
This map shows the geographic impact of Daniel Scott'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 Daniel Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Scott more than expected).
Fields of papers citing papers by Daniel Scott
This network shows the impact of papers produced by Daniel Scott. 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 Daniel Scott. The network helps show where Daniel Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Scott, 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 | 2016 | 116 | |
| 2 | 2016 | 68 | |
| 3 | 2014 | 40 | |
| 4 | 2021 | 31 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 16 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2016 | 2 |
About Daniel Scott
Daniel Scott is a scholar working on Molecular Biology, Organic Chemistry, Neurology, Epidemiology and Oncology, having authored 15 papers that have together received 364 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Click Chemistry and Applications (3 papers), Autophagy in Disease and Therapy (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chemical Synthesis and Analysis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Neurology (77 citations), Molecular Biology (218 citations), Spectroscopy (44 citations), Epidemiology (91 citations) and Pharmaceutical Science (15 citations). Daniel Scott has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert Layfield, Neil J. Oldham, Mark S. Searle, Jed Long, Barry Shaw, James R. Cavey, Chris Gell, Terje Johansen, John E. Moses and Timothy G. Wright. Their work appears in journals such as PROTEOMICS, Autophagy, Proceedings of the National Academy of Sciences, Protein Science and Cells.
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.