Natasha M. DeVore
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
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- Hormonal and reproductive studies
- Hormonal Regulation and Hypertension
Papers in
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- Pharmacogenetics and Drug Metabolism 6
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- Protein purification and stability 1
- Co-authors
- Emily E. Scott (6 shared papers)Elyse M. Petrunak (1 shared paper)Patrick Porubsky (1 shared paper)Brian D. Smith (2 shared papers)Kathleen M. Meneely (1 shared paper)K.P. Battaile (1 shared paper)Michael Urban (1 shared paper)Gerald H. Lushington (1 shared paper)
- Journals
- Drug Metabolism and Disposition (2 papers)Journal of Biological Chemistry (2 papers)FEBS Journal (1 paper)Protein Engineering Design and Selection (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Natasha M. DeVore
9 papers receiving 612 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 333
- Endocrinology, Diabetes and Metabolism 141
- Computational Theory and Mathematics 112
- Oncology 109
- Genetics 118
Countries citing papers authored by Natasha M. DeVore
This map shows the geographic impact of Natasha M. DeVore'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 Natasha M. DeVore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha M. DeVore more than expected).
Fields of papers citing papers by Natasha M. DeVore
This network shows the impact of papers produced by Natasha M. DeVore. 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 Natasha M. DeVore. The network helps show where Natasha M. DeVore may publish in the future.
Co-authors
The 19 scholars most cited alongside Natasha M. DeVore, 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 | 2012 | 277 | |
| 2 | 2014 | 103 | |
| 3 | 2012 | 67 | |
| 4 | 2011 | 59 | |
| 5 | 2009 | 37 | |
| 6 | 2008 | 33 | |
| 7 | 2015 | 28 | |
| 8 | 2020 | 5 | |
| 9 | 2022 | 5 |
About Natasha M. DeVore
Natasha M. DeVore is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 614 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (3 papers), Hormonal and reproductive studies (2 papers), Estrogen and related hormone effects (1 paper), Protein purification and stability (1 paper), Click Chemistry and Applications (1 paper), Enzyme Structure and Function (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Pharmacology (333 citations), Endocrinology, Diabetes and Metabolism (141 citations), Computational Theory and Mathematics (112 citations), Oncology (109 citations) and Genetics (118 citations). Natasha M. DeVore has collaborated with scholars based in United States. Frequent co-authors include Emily E. Scott, Elyse M. Petrunak, Patrick Porubsky, Brian D. Smith, Kathleen M. Meneely, K.P. Battaile, Michael Urban, Gerald H. Lushington, Geoffrey S. Waldo and Todd O. Yeates. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Biological Chemistry, FEBS Journal, Protein Engineering Design and Selection and Nature.
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.