Daniel C. Scott
Impact in
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Ubiquitin and proteasome pathways 33
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 1
- Genomics and Chromatin Dynamics 1
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Brenda Arlene Schulman (31 shared papers)David M. Duda (7 shared papers)Harold W. Hunt (2 shared papers)Julie K. Monda (5 shared papers)Michal Hammel (1 shared paper)Jeffrey Wade Harper (5 shared papers)Eric J. Bennett (2 shared papers)Kheewoong Baek (6 shared papers)
- Journals
- Molecular Cell (9 papers)Cell (5 papers)Journal of Medicinal Chemistry (4 papers)Journal of Bacteriology (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel C. Scott
47 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 3k
- Genetics 379
- Cell Biology 151
- Endocrinology 41
- Virology 41
Countries citing papers authored by Daniel C. Scott
This map shows the geographic impact of Daniel C. 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 C. 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 C. Scott more than expected).
Fields of papers citing papers by Daniel C. Scott
This network shows the impact of papers produced by Daniel C. 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 C. Scott. The network helps show where Daniel C. Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 665 | |
| 2 | 2018 | 320 | |
| 3 | 2009 | 254 | |
| 4 | 2011 | 245 | |
| 5 | 2009 | 243 | |
| 6 | 2016 | 188 | |
| 7 | 2011 | 174 | |
| 8 | 2014 | 173 | |
| 9 | 2021 | 143 | |
| 10 | 2012 | 137 | |
| 11 | 2020 | 111 | |
| 12 | 2012 | 108 | |
| 13 | 2010 | 94 | |
| 14 | 1999 | 88 | |
| 15 | 2017 | 88 | |
| 16 | 2000 | 74 | |
| 17 | 2019 | 71 | |
| 18 | 2006 | 70 | |
| 19 | 2008 | 65 | |
| 20 | 2012 | 64 |
About Daniel C. Scott
Daniel C. Scott is a scholar working on Molecular Biology, Genetics, Epidemiology, Organic Chemistry and Hematology, having authored 48 papers that have together received 4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (33 papers), Bacterial Genetics and Biotechnology (7 papers), Protein Degradation and Inhibitors (3 papers), Synthesis and biological activity (2 papers), Epigenetics and DNA Methylation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Genomics and Chromatin Dynamics (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Molecular Biology (3k citations), Genetics (379 citations), Cell Biology (151 citations), Endocrinology (41 citations) and Virology (41 citations). Daniel C. Scott has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brenda Arlene Schulman, David M. Duda, Harold W. Hunt, Julie K. Monda, Michal Hammel, Jeffrey Wade Harper, Eric J. Bennett, Kheewoong Baek, Salete Maria Cardozo Newton and Phillip E. Klebba. Their work appears in journals such as Molecular Cell, Cell, Journal of Medicinal Chemistry, Journal of Bacteriology and Journal of Biological Chemistry.
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.