Daniel R. Scott
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Brian M. Baker (6 shared papers)Kurt H. Piepenbrink (3 shared papers)Oleg Y. Borbulevych (2 shared papers)Sydney J. Blevins (2 shared papers)Steven A. Corcelli (3 shared papers)David K. Cole (1 shared paper)Andrew K. Sewell (1 shared paper)Ruth F. Sommese (1 shared paper)
- Journals
- PDA Journal of Pharmaceutical Science and Technology (3 papers)Biomedical Materials (1 paper)Scientific Reports (1 paper)Molecular Pharmaceutics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Daniel R. Scott
14 papers receiving 493 citations
Peers
Comparison fields: 5 of 66
- Immunology 294
- Radiology, Nuclear Medicine and Imaging 120
- Biomaterials 68
- Oncology 86
- Molecular Biology 133
Countries citing papers authored by Daniel R. Scott
This map shows the geographic impact of Daniel R. 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 R. 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 R. Scott more than expected).
Fields of papers citing papers by Daniel R. Scott
This network shows the impact of papers produced by Daniel R. 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 R. Scott. The network helps show where Daniel R. Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. 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 | 2009 | 152 | |
| 2 | 2012 | 73 | |
| 3 | 2011 | 66 | |
| 4 | 2016 | 42 | |
| 5 | 2015 | 42 | |
| 6 | 2013 | 40 | |
| 7 | 2019 | 28 | |
| 8 | 2016 | 22 | |
| 9 | 2012 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2015 | 5 | |
| 12 | 2016 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 1 |
About Daniel R. Scott
Daniel R. Scott is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Biology and Surgery, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Disease Management and Epidemiology (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Immunology (294 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Biomaterials (68 citations), Oncology (86 citations) and Molecular Biology (133 citations). Daniel R. Scott has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Brian M. Baker, Kurt H. Piepenbrink, Oleg Y. Borbulevych, Sydney J. Blevins, Steven A. Corcelli, David K. Cole, Andrew K. Sewell, Ruth F. Sommese, William F. Hawse and Paul R. Reynolds. Their work appears in journals such as PDA Journal of Pharmaceutical Science and Technology, Biomedical Materials, Scientific Reports, Molecular Pharmaceutics and Nature Communications.
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.