Jeffrey LeDue

2.8k total citations
45 papers, 1.9k citations indexed

About

Jeffrey LeDue is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jeffrey LeDue has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Jeffrey LeDue's work include Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (11 papers). Jeffrey LeDue is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (11 papers). Jeffrey LeDue collaborates with scholars based in Canada, United States and Australia. Jeffrey LeDue's co-authors include Timothy H. Murphy, Brian A. MacVicar, Majid H. Mohajerani, Allen W. Chan, Jasmin K. Hefendehl, Ravi L. Rungta, Jamie D. Boyd, Lasse Dissing‐Olesen, Yu Tian Wang and Hyun B. Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Jeffrey LeDue

43 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey LeDue Canada 22 906 788 480 291 169 45 1.9k
Florent Haiss Germany 19 1.1k 1.2× 1.1k 1.5× 529 1.1× 261 0.9× 193 1.1× 24 2.3k
Ricardo Mostany United States 24 1.1k 1.2× 612 0.8× 468 1.0× 596 2.0× 159 0.9× 56 2.4k
Tonghui Xu China 21 986 1.1× 763 1.0× 361 0.8× 604 2.1× 258 1.5× 41 2.5k
Gergely Katona Hungary 18 1.3k 1.4× 703 0.9× 476 1.0× 549 1.9× 46 0.3× 36 2.2k
Andrii Rudenko United States 16 1.1k 1.2× 960 1.2× 591 1.2× 832 2.9× 136 0.8× 21 2.7k
Nina Dedic United States 22 810 0.9× 456 0.6× 323 0.7× 550 1.9× 57 0.3× 38 2.1k
Daniela Schulz Germany 24 874 1.0× 551 0.7× 104 0.2× 394 1.4× 185 1.1× 58 2.0k
Gergely Szalay Hungary 12 604 0.7× 432 0.5× 438 0.9× 233 0.8× 40 0.2× 18 1.3k
James A. Bourne Australia 30 922 1.0× 1.4k 1.8× 220 0.5× 761 2.6× 178 1.1× 82 2.6k
Birgitte Rahbek Kornum Denmark 24 431 0.5× 1.4k 1.8× 150 0.3× 497 1.7× 111 0.7× 74 2.6k

Countries citing papers authored by Jeffrey LeDue

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey LeDue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey LeDue. 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 Jeffrey LeDue. The network helps show where Jeffrey LeDue may publish in the future.

Co-authorship network of co-authors of Jeffrey LeDue

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey LeDue. A scholar is included among the top collaborators of Jeffrey LeDue 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 Jeffrey LeDue. Jeffrey LeDue 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.
LeDue, Jeffrey, et al.. (2025). Synthetic patient and interview transcript creator: an essential tool for LLMs in mental health. Frontiers in Digital Health. 7. 1625444–1625444.
2.
Giustini, Dean, et al.. (2024). Scholar Metrics Scraper (SMS): automated retrieval of citation and author data. SHILAP Revista de lepidopterología. 9. 1335454–1335454. 1 indexed citations
3.
LeDue, Jeffrey, et al.. (2024). Adaptation of Magnified Analysis of the Proteome for Excitatory Synaptic Proteins in Varied Samples and Evaluation of Cell Type-Specific Distributions. Journal of Neuroscience. 44(14). e1291232024–e1291232024. 3 indexed citations
4.
Weilinger, Nicholas L., Kai Yang, Hyun B. Choi, et al.. (2023). Pannexin-1 opening in neuronal edema causes cell death but also leads to protection via increased microglia contacts. Cell Reports. 42(10). 113128–113128. 10 indexed citations
5.
Michelson, Nicholas J., et al.. (2023). Meso-Py: Dual Brain Cortical Calcium Imaging in Mice during Head-Fixed Social Stimulus Presentation. eNeuro. 10(12). ENEURO.0096–23.2023.
6.
Weilinger, Nicholas L., et al.. (2022). KCC2 drives chloride microdomain formation in dendritic blebbing. Cell Reports. 41(4). 111556–111556. 17 indexed citations
7.
Rhodin, Helge, et al.. (2020). Synthetic Animated Mouse (SAM), University of British Columbia, Datasets and 3D-models. OSF Preprints (OSF Preprints). 1 indexed citations
8.
McGirr, Alexander, et al.. (2020). Stress impacts sensory variability through cortical sensory activity motifs. Translational Psychiatry. 10(1). 20–20. 8 indexed citations
9.
York, Elisa M., Jeffrey LeDue, Louis‐Philippe Bernier, & Brian A. MacVicar. (2018). 3DMorph Automatic Analysis of Microglial Morphology in Three Dimensions fromEx VivoandIn VivoImaging. eNeuro. 5(6). ENEURO.0266–18.2018. 81 indexed citations
10.
Vanni, Matthieu P., et al.. (2017). Mesoscale brain explorer, a flexible python-based image analysis and visualization tool. Neurophotonics. 4(3). 31210–31210. 13 indexed citations
11.
Howarth, Clare, Brad A. Sutherland, Hyun B. Choi, et al.. (2017). A Critical Role for Astrocytes in Hypercapnic Vasodilation in Brain. Journal of Neuroscience. 37(9). 2403–2414. 64 indexed citations
12.
Hefendehl, Jasmin K., Jeffrey LeDue, Rebecca W.Y. Ko, et al.. (2016). Mapping synaptic glutamate transporter dysfunction in vivo to regions surrounding Aβ plaques by iGluSnFR two-photon imaging. Nature Communications. 7(1). 13441–13441. 108 indexed citations
13.
LeDue, Jeffrey, et al.. (2015). Network analysis of mesoscale optical recordings to assess regional, functional connectivity. Neurophotonics. 2(4). 41405–41405. 14 indexed citations
14.
LeDue, Jeffrey, et al.. (2014). Optogenetic Mapping after Stroke Reveals Network-Wide Scaling of Functional Connections and Heterogeneous Recovery of the Peri-Infarct. Journal of Neuroscience. 34(49). 16455–16466. 81 indexed citations
15.
Dissing‐Olesen, Lasse, Jeffrey LeDue, Ravi L. Rungta, et al.. (2014). Activation of Neuronal NMDA Receptors Triggers Transient ATP-Mediated Microglial Process Outgrowth. Journal of Neuroscience. 34(32). 10511–10527. 213 indexed citations
16.
LeDue, Jeffrey, et al.. (2013). Optogenetic approaches for functional mouse brain mapping. Frontiers in Neuroscience. 7. 54–54. 34 indexed citations
17.
Mohajerani, Majid H., Allen W. Chan, Jeffrey LeDue, et al.. (2013). Spontaneous cortical activity alternates between motifs defined by regional axonal projections. Nature Neuroscience. 16(10). 1426–1435. 274 indexed citations
19.
Tam, Connie, Jeffrey LeDue, James J. Mun, et al.. (2011). 3D Quantitative Imaging of Unprocessed Live Tissue Reveals Epithelial Defense against Bacterial Adhesion and Subsequent Traversal Requires MyD88. PLoS ONE. 6(8). e24008–e24008. 32 indexed citations
20.
Ganesan, P., Jeffrey LeDue, & Christine F. Wildsoet. (2010). Design and Validation of a Bioreactor for Scleral Tissue. Investigative Ophthalmology & Visual Science. 51(13). 3686–3686. 1 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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