Emily E. Scott
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Pharmacology 66
- Pharmacogenetics and Drug Metabolism 66
- Co-authors
- Natasha M. DeVore (6 shared papers)James R. Halpert (11 shared papers)Quentin Gibson (3 shared papers)John S. Olson (5 shared papers)Patrick Porubsky (5 shared papers)Eric F. Johnson (3 shared papers)Mark A. White (2 shared papers)You Ai He (2 shared papers)
- Journals
- Journal of Biological Chemistry (29 papers)Drug Metabolism and Disposition (13 papers)Archives of Biochemistry and Biophysics (5 papers)The FASEB Journal (4 papers)Biochemistry (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Emily E. Scott
85 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 118
- Pharmacology 2.1k
- Computational Theory and Mathematics 758
- Cell Biology 641
- Oncology 791
- Biochemistry 225
Countries citing papers authored by Emily E. Scott
This map shows the geographic impact of Emily E. 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 Emily E. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily E. Scott more than expected).
Fields of papers citing papers by Emily E. Scott
This network shows the impact of papers produced by Emily E. 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 Emily E. Scott. The network helps show where Emily E. Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily E. 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 318 | |
| 2 | 2003 | 310 | |
| 3 | 2012 | 293 | |
| 4 | 2004 | 263 | |
| 5 | 2013 | 239 | |
| 6 | 2008 | 190 | |
| 7 | 1997 | 140 | |
| 8 | 2001 | 130 | |
| 9 | 2014 | 105 | |
| 10 | 2004 | 94 | |
| 11 | 2010 | 89 | |
| 12 | 2013 | 88 | |
| 13 | 2007 | 85 | |
| 14 | 2001 | 83 | |
| 15 | 2012 | 71 | |
| 16 | 2017 | 68 | |
| 17 | 2014 | 66 | |
| 18 | 2011 | 64 | |
| 19 | 2021 | 53 | |
| 20 | 2017 | 52 |
About Emily E. Scott
Emily E. Scott is a scholar working on Pharmacology, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Computational Theory and Mathematics, having authored 90 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (66 papers), Computational Drug Discovery Methods (18 papers), Hormonal Regulation and Hypertension (17 papers), Drug Transport and Resistance Mechanisms (17 papers), Estrogen and related hormone effects (12 papers), Hormonal and reproductive studies (7 papers), Analytical Chemistry and Chromatography (7 papers) and Hemoglobin structure and function (6 papers). The work is most often cited by research in Pharmacology (2.1k citations), Computational Theory and Mathematics (758 citations), Cell Biology (641 citations), Oncology (791 citations) and Biochemistry (225 citations). Emily E. Scott has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Natasha M. DeVore, James R. Halpert, Quentin Gibson, John S. Olson, Patrick Porubsky, Eric F. Johnson, Mark A. White, You Ai He, Grażyna D. Szklarz and Kathleen M. Meneely. Their work appears in journals such as Journal of Biological Chemistry, Drug Metabolism and Disposition, Archives of Biochemistry and Biophysics, The FASEB Journal and 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.