Emily E. Scott

76 papers receiving 3.9k citations

Peers

Emily E. Scott
Comparison fields: 5 of 102
  • Pharmacology 1.6k
  • Inorganic Chemistry 1.2k
  • Cell Biology 485
  • Computational Theory and Mathematics 332
  • Molecular Biology 1.1k
Replace Julian A. Peterson with:
Julian A. Peterson United States
Pamela A. Williams United States
Ronald E. White United States
Sergey A. Usanov Belarus
Rakesh Paul India
Larry E. Vickery United States
Irina F. Sevrioukova United States
C. David Stout United States
Jason K. Yano United States
Sandeep P. Modi United Kingdom
Emily E. Scott relative to Julian A. Peterson United States Julian A. Peterson's profile →
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Citations per year

Countries citing papers authored by Emily E. Scott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Emily E. Scott Line = papers co-authored together Emily E. Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001319
2 2003308
3 2012303
4 2004265
5 2013250
6 2008196
7 1997141
8 2001131
9 2014107
10 200496
11 201090
12 201388
13 200785
14 200184
15 201275
16 201768
17 201166
18 201466
19 202163
20 201854

About Emily E. Scott

Emily E. Scott is a scholar working on Pharmacology, Inorganic Chemistry, Materials Chemistry, Molecular Biology and Cell Biology, having authored 79 papers that have together received 4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (45 papers), Metal-Catalyzed Oxygenation Mechanisms (44 papers), Enzyme Structure and Function (20 papers), Protein Structure and Dynamics (8 papers), Steroid Chemistry and Biochemistry (6 papers), Prostate Cancer Treatment and Research (5 papers), Hemoglobin structure and function (5 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Pharmacology (1.6k citations), Inorganic Chemistry (1.2k citations), Cell Biology (485 citations), Computational Theory and Mathematics (332 citations) and Molecular Biology (1.1k citations). Emily E. Scott has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Natasha M. DeVore, James R. Halpert, Quentin Howieson Gibson, John S. Olson, Patrick R. Porubsky, Eric F. Johnson, Grażyna D. Szklarz, You Ai He, Mark Andrew White 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.

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