Gregory T. Macleod

2.6k total citations
51 papers, 1.9k citations indexed

About

Gregory T. Macleod is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Gregory T. Macleod has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 32 papers in Molecular Biology and 18 papers in Cell Biology. Recurrent topics in Gregory T. Macleod's work include Neurobiology and Insect Physiology Research (22 papers), Cellular transport and secretion (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Gregory T. Macleod is often cited by papers focused on Neurobiology and Insect Physiology Research (22 papers), Cellular transport and secretion (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Gregory T. Macleod collaborates with scholars based in United States, Canada and Australia. Gregory T. Macleod's co-authors include Milton P. Charlton, Konrad E. Zinsmaier, Andrea J. Wellington, Harold L. Atwood, Leo Marin, Xiufang Guo, Miriam Schoenfield, Maxim V. Ivannikov, Amit K. Chouhan and Richard W. Daniels and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Gregory T. Macleod

49 papers receiving 1.8k citations

Peers

Gregory T. Macleod
Andreas Wyttenbach United Kingdom
Richard W. Ordway United States
Michael J. Palladino United States
Kuchuan Chen United States
Pamela J. Yao United States
Gregory T. Macleod
Citations per year, relative to Gregory T. Macleod Gregory T. Macleod (= 1×) peers Nobuhiro Fujikake

Countries citing papers authored by Gregory T. Macleod

Since Specialization
Citations

This map shows the geographic impact of Gregory T. Macleod'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 Gregory T. Macleod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory T. Macleod more than expected).

Fields of papers citing papers by Gregory T. Macleod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory T. Macleod. 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 Gregory T. Macleod. The network helps show where Gregory T. Macleod may publish in the future.

Co-authorship network of co-authors of Gregory T. Macleod

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory T. Macleod. A scholar is included among the top collaborators of Gregory T. Macleod 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 Gregory T. Macleod. Gregory T. Macleod 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.
Kirchman, Paul A., et al.. (2025). Optimal neuromuscular performance requires motor neuron phosphagen kinases. The Journal of Physiology. 604(5). 2027–2059.
2.
Stawarski, Michał, et al.. (2023). Mitochondrial phosphagen kinases support the volatile power demands of motor nerve terminals. The Journal of Physiology. 601(24). 5705–5732. 4 indexed citations
3.
He, Kaikai, et al.. (2023). Physiologic and Nanoscale Distinctions Define Glutamatergic Synapses in Tonic vs Phasic Neurons. Journal of Neuroscience. 43(25). 4598–4611. 10 indexed citations
4.
Han, Tae Hee, Qi Wang, Peter Nguyen, et al.. (2020). Neto-α Controls Synapse Organization and Homeostasis at the Drosophila Neuromuscular Junction. Cell Reports. 32(1). 107866–107866. 9 indexed citations
5.
Stawarski, Michał, J Borycz, Zhiyuan Lu, et al.. (2020). Neuronal Glutamatergic Synaptic Clefts Alkalinize Rather Than Acidify during Neurotransmission. Journal of Neuroscience. 40(8). 1611–1624. 20 indexed citations
6.
Uğur, Berrak, Huan Bao, Michał Stawarski, et al.. (2017). The Krebs Cycle Enzyme Isocitrate Dehydrogenase 3A Couples Mitochondrial Metabolism to Synaptic Transmission. Cell Reports. 21(13). 3794–3806. 24 indexed citations
7.
Kato, Akira, et al.. (2016). Na+/H+ exchange via the Drosophila vesicular glutamate transporter mediates activity‐induced acid efflux from presynaptic terminals. The Journal of Physiology. 595(3). 805–824. 16 indexed citations
8.
Grygoruk, Anna, Audrey Chen, Hakeem O. Lawal, et al.. (2014). The Redistribution ofDrosophilaVesicular Monoamine Transporter Mutants from Synaptic Vesicles to Large Dense-Core Vesicles Impairs Amine-Dependent Behaviors. Journal of Neuroscience. 34(20). 6924–6937. 23 indexed citations
9.
Daniels, Richard W., et al.. (2014). Expression of Multiple Transgenes from a Single Construct Using Viral 2A Peptides in Drosophila. PLoS ONE. 9(6). e100637–e100637. 96 indexed citations
10.
Wong, Ching‐On, Kuchuan Chen, Yong Lin, et al.. (2014). A TRPV Channel in Drosophila Motor Neurons Regulates Presynaptic Resting Ca2+ Levels, Synapse Growth, and Synaptic Transmission. Neuron. 84(4). 764–777. 50 indexed citations
11.
Shi, Yun, Maxim V. Ivannikov, Michael Walsh, et al.. (2014). The Lack of CuZnSOD Leads to Impaired Neurotransmitter Release, Neuromuscular Junction Destabilization and Reduced Muscle Strength in Mice. PLoS ONE. 9(6). e100834–e100834. 48 indexed citations
12.
Rawson, Joel M., et al.. (2012). Effects of diet on synaptic vesicle release in dynactin complex mutants: a mechanism for improved vitality during motor disease. Aging Cell. 11(3). 418–427. 10 indexed citations
13.
Chouhan, Amit K., Jinhui Zhang, Konrad E. Zinsmaier, & Gregory T. Macleod. (2010). Presynaptic Mitochondria in Functionally Different Motor Neurons Exhibit Similar Affinities for Ca2+But Exert Little Influence as Ca2+Buffers at Nerve Firing RatesIn Situ. Journal of Neuroscience. 30(5). 1869–1881. 56 indexed citations
14.
Louie, Kathryn, et al.. (2009). DrosophilaMiro Is Required for Both Anterograde and Retrograde Axonal Mitochondrial Transport. Journal of Neuroscience. 29(17). 5443–5455. 174 indexed citations
15.
Macleod, Gregory T., et al.. (2007). Loading Drosophila Nerve Terminals with Calcium Indicators. Journal of Visualized Experiments. 250–250. 12 indexed citations
16.
Bao, Hong, Richard W. Daniels, Gregory T. Macleod, et al.. (2005). AP180 Maintains the Distribution of Synaptic and Vesicle Proteins in the Nerve Terminal and Indirectly Regulates the Efficacy of Ca2+-Triggered Exocytosis. Journal of Neurophysiology. 94(3). 1888–1903. 68 indexed citations
17.
Macleod, Gregory T., Leo Marin, Milton P. Charlton, & Harold L. Atwood. (2004). Synaptic Vesicles: Test for a Role in Presynaptic Calcium Regulation. Journal of Neuroscience. 24(10). 2496–2505. 44 indexed citations
18.
Babcock, Michael, et al.. (2004). Genetic Analysis of SolubleN-Ethylmaleimide-Sensitive Factor Attachment Protein Function inDrosophilaReveals Positive and Negative Secretory Roles. Journal of Neuroscience. 24(16). 3964–3973. 36 indexed citations
19.
Macleod, Gregory T.. (2003). Single neuron activity in the Drosophila larval CNS detected with calcium indicators. Journal of Neuroscience Methods. 127(2). 167–178. 17 indexed citations
20.
Macleod, Gregory T., Vikram Khurana, W.G. Gibson, & Maxwell R. Bennett. (1998). Probability of Quantal Secretion and the Mobilization of Vesicles at the Active Zones of Endplates. Journal of Theoretical Biology. 191(3). 323–334. 5 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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