Natasha M. DeVore

747 total citations
9 papers, 609 citations indexed

About

Natasha M. DeVore is a scholar working on Pharmacology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Natasha M. DeVore has authored 9 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Natasha M. DeVore's work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (3 papers) and Hormonal and reproductive studies (2 papers). Natasha M. DeVore is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (3 papers) and Hormonal and reproductive studies (2 papers). Natasha M. DeVore collaborates with scholars based in United States. Natasha M. DeVore's co-authors include Emily E. Scott, Patrick Porubsky, Elyse M. Petrunak, Brian D. Smith, K.P. Battaile, Kathleen M. Meneely, Michael Urban, Gerald H. Lushington, Geoffrey S. Waldo and D.J. Leibly and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Structure.

In The Last Decade

Natasha M. DeVore

9 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Natasha M. DeVore United States	7	339	238	149	120	115	9	609
Patrick Porubsky United States	12	300 0.9×	418 1.8×	60 0.4×	52 0.4×	132 1.1×	24	960
Jenny Roy Canada	17	108 0.3×	333 1.4×	181 1.2×	338 2.8×	123 1.1×	61	790
Michael P. Pritchard United Kingdom	14	535 1.6×	346 1.5×	54 0.4×	85 0.7×	250 2.2×	18	812
Lesley A. McLaughlin United Kingdom	20	610 1.8×	501 2.1×	71 0.5×	60 0.5×	320 2.8×	27	1.1k
Michael Schrag United States	14	423 1.2×	219 0.9×	48 0.3×	43 0.4×	270 2.3×	20	779
Peter Lee-Robichaud United Kingdom	10	330 1.0×	214 0.9×	268 1.8×	151 1.3×	63 0.5×	11	542
Elyse M. Petrunak United States	12	136 0.4×	179 0.8×	101 0.7×	77 0.6×	57 0.5×	14	393
Zhoupeng Zhang United States	17	283 0.8×	249 1.0×	41 0.3×	73 0.6×	96 0.8×	26	634
Michael Lisurek Germany	19	288 0.8×	550 2.3×	252 1.7×	63 0.5×	119 1.0×	28	854
J S Miles United Kingdom	15	521 1.5×	466 2.0×	58 0.4×	114 0.9×	268 2.3×	19	1.1k

Countries citing papers authored by Natasha M. DeVore

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Natasha M. DeVore

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha M. DeVore. A scholar is included among the top collaborators of Natasha M. DeVore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natasha M. DeVore. Natasha M. DeVore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

DeVore, Natasha M., et al.. (2022). Engineering a Yellow Thermostable Fluorescent Protein by Rational Design. ACS Omega. 8(1). 436–443. 5 indexed citations

2.

Velappan, Nileena, Devin Close, Li‐Wei Hung, et al.. (2020). Construction, characterization and crystal structure of a fluorescent single-chain Fv chimera. Protein Engineering Design and Selection. 34. 5 indexed citations

3.

Leibly, D.J., Mark A. Arbing, Natasha M. DeVore, et al.. (2015). A Suite of Engineered GFP Molecules for Oligomeric Scaffolding. Structure. 23(9). 1754–1768. 28 indexed citations

4.

Petrunak, Elyse M., Natasha M. DeVore, Patrick Porubsky, & Emily E. Scott. (2014). Structures of Human Steroidogenic Cytochrome P450 17A1 with Substrates. Journal of Biological Chemistry. 289(47). 32952–32964. 103 indexed citations

5.

DeVore, Natasha M. & Emily E. Scott. (2012). Nicotine and 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone Binding and Access Channel in Human Cytochrome P450 2A6 and 2A13 Enzymes. Journal of Biological Chemistry. 287(32). 26576–26585. 67 indexed citations

6.

DeVore, Natasha M. & Emily E. Scott. (2012). Structures of cytochrome P450 17A1 with prostate cancer drugs abiraterone and TOK-001. Nature. 482(7383). 116–119. 273 indexed citations

7.

DeVore, Natasha M., et al.. (2011). Structural comparison of cytochromes P450 2A6, 2A13, and 2E1 with pilocarpine. FEBS Journal. 279(9). 1621–1631. 58 indexed citations

8.

DeVore, Natasha M., et al.. (2009). Key Residues Controlling Binding of Diverse Ligands to Human Cytochrome P450 2A Enzymes. Drug Metabolism and Disposition. 37(6). 1319–1327. 37 indexed citations

9.

DeVore, Natasha M., Brian D. Smith, Michael Urban, & Emily E. Scott. (2008). Key Residues Controlling Phenacetin Metabolism by Human Cytochrome P450 2A Enzymes. Drug Metabolism and Disposition. 36(12). 2582–2590. 33 indexed citations

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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