David M. MacLean

1.3k total citations
35 papers, 963 citations indexed

About

David M. MacLean is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, David M. MacLean has authored 35 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 4 papers in Spectroscopy. Recurrent topics in David M. MacLean's work include Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (21 papers) and Ion Transport and Channel Regulation (11 papers). David M. MacLean is often cited by papers focused on Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (21 papers) and Ion Transport and Channel Regulation (11 papers). David M. MacLean collaborates with scholars based in United States, Canada and Czechia. David M. MacLean's co-authors include Vasanthi Jayaraman, Maria Musgaard, Derek Bowie, Hui‐Lin Pan, Lingyong Li, Jinjun Chen, Yuhao Zhang, Shao-Rui Chen, Hong Chen and Heidi Vitrac and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

David M. MacLean

33 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. MacLean United States 21 710 525 146 71 62 35 963
Alexander Surin Russia 16 811 1.1× 496 0.9× 156 1.1× 36 0.5× 29 0.5× 49 1.2k
Raymond E. Hulse United States 14 473 0.7× 217 0.4× 148 1.0× 105 1.5× 75 1.2× 16 940
Manu Ben‐Johny United States 21 1.1k 1.5× 535 1.0× 72 0.5× 35 0.5× 102 1.6× 51 1.4k
Leandro Royer United States 14 653 0.9× 503 1.0× 110 0.8× 50 0.7× 79 1.3× 23 888
Miao Zhang United States 19 872 1.2× 288 0.5× 99 0.7× 37 0.5× 78 1.3× 71 1.3k
Rooma Desai United States 17 1.1k 1.6× 815 1.6× 70 0.5× 40 0.6× 101 1.6× 25 1.5k
Kimberly A. Clark United States 12 1.0k 1.4× 516 1.0× 143 1.0× 21 0.3× 129 2.1× 18 1.2k
Jens Schindler Germany 10 556 0.8× 358 0.7× 75 0.5× 154 2.2× 40 0.6× 12 764
Tatsuki Kurokawa Japan 19 838 1.2× 428 0.8× 106 0.7× 33 0.5× 217 3.5× 35 1.2k
Anthony Collins United States 17 1.3k 1.8× 621 1.2× 96 0.7× 36 0.5× 53 0.9× 38 1.7k

Countries citing papers authored by David M. MacLean

Since Specialization
Citations

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

Fields of papers citing papers by David M. MacLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. MacLean. 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 David M. MacLean. The network helps show where David M. MacLean may publish in the future.

Co-authorship network of co-authors of David M. MacLean

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

All Works

20 of 20 papers shown
1.
MacLean, David M., et al.. (2024). Mechanism of acid-sensing ion channel modulation by Hi1a. The Journal of General Physiology. 156(12). 1 indexed citations
2.
Arige, Vikas, David M. MacLean, & David I. Yule. (2024). Inositol 1,4,5-Trisphosphate Receptor Mutations Associated with Human Disease: Insights into Receptor Function and Dysfunction. Annual Review of Physiology. 87(1). 201–228. 3 indexed citations
3.
MacLean, David M., et al.. (2024). Proline substitutions in the ASIC1 β11-12 linker slow desensitization. Biophysical Journal. 123(20). 3507–3518.
4.
Altimimi, Haider F., Hailong Hou, Yu Zhang, et al.. (2022). Protein phosphatase-1 inhibitor-2 promotes PP1γ positive regulation of synaptic transmission. Frontiers in Synaptic Neuroscience. 14. 1021832–1021832. 3 indexed citations
5.
Musgaard, Maria, et al.. (2021). Mutation of a conserved glutamine residue does not abolish desensitization of acid-sensing ion channel 1. The Journal of General Physiology. 153(8). 11 indexed citations
6.
Musgaard, Maria, et al.. (2021). Molecular Investigation of Chicken Acid-Sensing Ion Channel 1 β11-12 Linker Isomerization and Channel Kinetics. Frontiers in Cellular Neuroscience. 15. 761813–761813. 6 indexed citations
7.
MacLean, David M., et al.. (2020). Comparing the performance of mScarlet-I, mRuby3, and mCherry as FRET acceptors for mNeonGreen. PLoS ONE. 15(2). e0219886–e0219886. 34 indexed citations
8.
Carrillo, Elisa, Sana Shaikh, Vladimír Berka, et al.. (2019). Mechanism of modulation of AMPA receptors by TARP-γ8. The Journal of General Physiology. 152(1). 29 indexed citations
9.
MacLean, David M., et al.. (2018). Mapping the Conformational Landscape of Glutamate Receptors Using Single Molecule FRET. Trends in Neurosciences. 42(2). 128–139. 13 indexed citations
10.
Chen, Jinjun, Lingyong Li, Shao-Rui Chen, et al.. (2018). The α2δ-1-NMDA Receptor Complex Is Critically Involved in Neuropathic Pain Development and Gabapentin Therapeutic Actions. Cell Reports. 22(9). 2307–2321. 210 indexed citations
11.
Coombs, Ian D., David M. MacLean, Vasanthi Jayaraman, Mark Farrant, & Stuart Cull-Candy. (2017). Dual Effects of TARP γ-2 on Glutamate Efficacy Can Account for AMPA Receptor Autoinactivation. Cell Reports. 20(5). 1123–1135. 26 indexed citations
12.
Vitrac, Heidi, David M. MacLean, Anja Karlstaedt, et al.. (2017). Dynamic Lipid-dependent Modulation of Protein Topology by Post-translational Phosphorylation. Journal of Biological Chemistry. 292(5). 1613–1624. 23 indexed citations
13.
Shaikh, Sana, Drew M. Dolino, Garam Lee, et al.. (2016). Stargazin Modulation of AMPA Receptors. Cell Reports. 17(2). 328–335. 48 indexed citations
14.
MacLean, David M., et al.. (2015). A conserved structural mechanism of NMDA receptor inhibition: A comparison of ifenprodil and zinc. The Journal of General Physiology. 146(2). 173–181. 23 indexed citations
15.
MacLean, David M., et al.. (2015). Subtype-dependent N-Methyl-d-aspartate Receptor Amino-terminal Domain Conformations and Modulation by Spermine. Journal of Biological Chemistry. 290(20). 12812–12820. 28 indexed citations
16.
Lee, Garam, David M. MacLean, Henning Ulrich, et al.. (2014). RNA Based Antagonist of NMDA Receptors. ACS Chemical Neuroscience. 5(7). 559–567. 6 indexed citations
17.
MacLean, David M., et al.. (2013). Amino-terminal Domain Tetramer Organization and Structural Effects of Zinc Binding in the N-Methyl-d-aspartate (NMDA) Receptor. Journal of Biological Chemistry. 288(31). 22555–22564. 30 indexed citations
18.
MacLean, David M. & Derek Bowie. (2011). Transmembrane AMPA receptor regulatory protein regulation of competitive antagonism: a problem of interpretation. The Journal of Physiology. 589(22). 5383–5390. 19 indexed citations
19.
MacLean, David M., et al.. (2011). Cations But Not Anions Regulate the Responsiveness of Kainate Receptors. Journal of Neuroscience. 31(6). 2136–2144. 13 indexed citations
20.
Wong, Adrian Y. C., David M. MacLean, & Derek Bowie. (2007). Na+/Cl- Dipole Couples Agonist Binding to Kainate Receptor Activation. Journal of Neuroscience. 27(25). 6800–6809. 26 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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