Elisha D.W. Mackey

753 total citations
11 papers, 552 citations indexed

About

Elisha D.W. Mackey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Elisha D.W. Mackey has authored 11 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in Elisha D.W. Mackey's work include Nicotinic Acetylcholine Receptors Study (8 papers), Receptor Mechanisms and Signaling (7 papers) and Ion channel regulation and function (3 papers). Elisha D.W. Mackey is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (8 papers), Receptor Mechanisms and Signaling (7 papers) and Ion channel regulation and function (3 papers). Elisha D.W. Mackey collaborates with scholars based in United States. Elisha D.W. Mackey's co-authors include Henry A. Lester, Rahul Srinivasan, Julie M. Miwa, Viviana Gradinaru, J. Elliott Robinson, Frances H. Arnold, Claire N. Bedbrook, Kevin Yang, Fraser J. Moss and Çağdaş Devrim Son and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Biotechnology.

In The Last Decade

Elisha D.W. Mackey

11 papers receiving 546 citations

Peers

Elisha D.W. Mackey

CMN

PHARM

Legier V. Rojas Puerto Rico

Mats Holmqvist United States

Wanjun Yang United States

Nuriya Mukhtasimova United States

Donghui Kuang United States

Henry Nguyen United States

Rocio K. Finol‐Urdaneta Australia

Walrati Limapichat United States

A. N. Nguyen United States

T. J. Lea United Kingdom

Legier V. Rojas Puerto Rico

Elisha D.W. Mackey

546 ×1.2

223 ×1.0

CMN

46 ×1.1

62 ×1.7

PHARM

45 ×1.4

Citations per year, relative to Elisha D.W. Mackey Elisha D.W. Mackey (= 1×) peers Legier V. Rojas

Countries citing papers authored by Elisha D.W. Mackey

Since Specialization

Citations

This map shows the geographic impact of Elisha D.W. Mackey'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 Elisha D.W. Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisha D.W. Mackey more than expected).

Fields of papers citing papers by Elisha D.W. Mackey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisha D.W. Mackey. 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 Elisha D.W. Mackey. The network helps show where Elisha D.W. Mackey may publish in the future.

Co-authorship network of co-authors of Elisha D.W. Mackey

This figure shows the co-authorship network connecting the top 25 collaborators of Elisha D.W. Mackey. A scholar is included among the top collaborators of Elisha D.W. Mackey 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 Elisha D.W. Mackey. Elisha D.W. Mackey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Coughlin, Gerard Michael, Máté Borsos, Acacia M Hori, et al.. (2025). Spatial genomics of AAV vectors reveals mechanism of transcriptional crosstalk that enables targeted delivery of large genetic cargo. Nature Biotechnology. 44(1). 133–145. 4 indexed citations

Bedbrook, Claire N., Kevin Yang, J. Elliott Robinson, et al.. (2019). Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics. Nature Methods. 16(11). 1176–1184. 136 indexed citations

Robinson, J. Elliott, Gerard Michael Coughlin, Acacia M Hori, et al.. (2019). Optical dopamine monitoring with dLight1 reveals mesolimbic phenotypes in a mouse model of neurofibromatosis type 1. eLife. 8. 26 indexed citations

Mackey, Elisha D.W., Sheri McKinney, Purnima Deshpande, et al.. (2016). Effects of Menthol on α3β4∗ Nicotinic Receptors. Biophysical Journal. 110(3). 603a–603a. 1 indexed citations

Henley, Beverley M., Brian A. Williams, Rahul Srinivasan, et al.. (2013). Transcriptional regulation by nicotine in dopaminergic neurons. Biochemical Pharmacology. 86(8). 1074–1083. 26 indexed citations

Henderson, Brandon J., Rahul Srinivasan, Elisha D.W. Mackey, et al.. (2013). Nicotine exploits a COPI-mediated process for chaperone-mediated up-regulation of its receptors. The Journal of General Physiology. 143(1). 51–66. 58 indexed citations

Mackey, Elisha D.W., Staci E. Engle, Mee‐Ran Kim, et al.. (2012). α6* Nicotinic Acetylcholine Receptor Expression and Function in a Visual Salience Circuit. Journal of Neuroscience. 32(30). 10226–10237. 50 indexed citations

Richards, Christopher I., Rahul Srinivasan, Cheng Xiao, et al.. (2011). Trafficking of α4* Nicotinic Receptors Revealed by Superecliptic Phluorin. Journal of Biological Chemistry. 286(36). 31241–31249. 47 indexed citations

Cohen, Bruce, Elisha D.W. Mackey, S. R. Grady, et al.. (2011). Nicotinic cholinergic mechanisms causing elevated dopamine release and abnormal locomotor behavior. Neuroscience. 200. 31–41. 35 indexed citations

10.

Xiao, Cheng, Rahul Srinivasan, Ryan M. Drenan, et al.. (2011). Characterizing functional α6β2 nicotinic acetylcholine receptors in vitro: Mutant β2 subunits improve membrane expression, and fluorescent proteins reveal responsive cells. Biochemical Pharmacology. 82(8). 852–861. 32 indexed citations

11.

Srinivasan, Rahul, Rigo Pantoja, Fraser J. Moss, et al.. (2010). Nicotine up-regulates α4β2 nicotinic receptors and ER exit sites via stoichiometry-dependent chaperoning. The Journal of General Physiology. 137(1). 59–79. 137 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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