Mark P. Brandon

2.4k total citations
29 papers, 1.4k citations indexed

About

Mark P. Brandon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Mark P. Brandon has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 23 papers in Cellular and Molecular Neuroscience and 4 papers in Social Psychology. Recurrent topics in Mark P. Brandon's work include Memory and Neural Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (21 papers) and Neural dynamics and brain function (9 papers). Mark P. Brandon is often cited by papers focused on Memory and Neural Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (21 papers) and Neural dynamics and brain function (9 papers). Mark P. Brandon collaborates with scholars based in United States, Canada and Germany. Mark P. Brandon's co-authors include Michael E. Hasselmo, Michael Connerney, Andrew Bogaard, Stefan Leutgeb, Christopher Libby, Kishan Gupta, Jill K. Leutgeb, G. William Chapman, Alexandra T. Keinath and Julie Koenig and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Mark P. Brandon

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark P. Brandon United States 19 1.3k 1.0k 117 82 54 29 1.4k
Sachin S. Deshmukh United States 10 1.2k 0.9× 973 0.9× 193 1.6× 122 1.5× 64 1.2× 14 1.3k
Albert Tsao United States 6 905 0.7× 664 0.6× 103 0.9× 74 0.9× 31 0.6× 7 1.0k
Ali Jeewajee United Kingdom 8 1.0k 0.8× 753 0.7× 108 0.9× 60 0.7× 52 1.0× 10 1.1k
Sam McKenzie United States 20 1.4k 1.1× 1.1k 1.0× 70 0.6× 156 1.9× 70 1.3× 36 1.7k
Tora Bonnevie Norway 6 1.6k 1.2× 1.3k 1.3× 86 0.7× 93 1.1× 71 1.3× 6 1.7k
Michael Anderson Ireland 15 845 0.7× 755 0.7× 109 0.9× 102 1.2× 68 1.3× 19 992
Michael J. Jutras United States 11 1.0k 0.8× 850 0.8× 112 1.0× 104 1.3× 97 1.8× 12 1.4k
D. Yoganarasimha United States 13 1.2k 1.0× 1.0k 1.0× 200 1.7× 147 1.8× 38 0.7× 20 1.3k
Vegard Heimly Brun Norway 8 1.4k 1.1× 1.3k 1.2× 114 1.0× 216 2.6× 91 1.7× 13 1.6k

Countries citing papers authored by Mark P. Brandon

Since Specialization
Citations

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

Fields of papers citing papers by Mark P. Brandon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark P. Brandon. 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 Mark P. Brandon. The network helps show where Mark P. Brandon may publish in the future.

Co-authorship network of co-authors of Mark P. Brandon

This figure shows the co-authorship network connecting the top 25 collaborators of Mark P. Brandon. A scholar is included among the top collaborators of Mark P. Brandon 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 Mark P. Brandon. Mark P. Brandon 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.
Mosser, Coralie‐Anne, et al.. (2026). Predictive coding of reward in the hippocampus. Nature. 651(8105). 414–420.
2.
Keinath, Alexandra T., et al.. (2024). Identifying representational structure in CA1 to benchmark theoretical models of cognitive mapping. Neuron. 113(2). 307–320.e5. 1 indexed citations
3.
Robinson, Jennifer C., et al.. (2024). Optogenetic silencing of medial septal GABAergic neurons disrupts grid cell spatial and temporal coding in the medial entorhinal cortex. Cell Reports. 43(8). 114590–114590. 4 indexed citations
4.
Keinath, Alexandra T., et al.. (2023). Population dynamics of head-direction neurons during drift and reorientation. Nature. 615(7954). 892–899. 25 indexed citations
5.
Reboreda, Antonio, et al.. (2023). Grid cell disruption in a mouse model of early Alzheimer’s disease reflects reduced integration of self-motion cues. Current Biology. 33(12). 2425–2437.e5. 10 indexed citations
6.
Keinath, Alexandra T., Coralie‐Anne Mosser, & Mark P. Brandon. (2022). The representation of context in mouse hippocampus is preserved despite neural drift. Nature Communications. 13(1). 2415–2415. 37 indexed citations
7.
Robinson, Jennifer C. & Mark P. Brandon. (2021). Skipping ahead: A circuit for representing the past, present, and future. eLife. 10. 13 indexed citations
8.
Brandon, Mark P., et al.. (2021). Path integration in normal aging and Alzheimer’s disease. Trends in Cognitive Sciences. 26(2). 142–158. 28 indexed citations
9.
Mosser, Coralie‐Anne, Andrés Nieto‐Posadas, Keith K. Murai, et al.. (2020). The McGill‐Mouse‐Miniscope platform: A standardized approach for high‐throughput imaging of neuronal dynamics during behavior. Genes Brain & Behavior. 20(1). e12686–e12686. 8 indexed citations
10.
Wei, Xue-Xin, Ding Zhou, Andres Grosmark, et al.. (2020). A zero-inflated gamma model for post-deconvolved calcium imaging traces. 3(2). 1–21. 1 indexed citations
11.
Keinath, Alexandra T., Andrés Nieto‐Posadas, Jennifer C. Robinson, & Mark P. Brandon. (2020). DG–CA3 circuitry mediates hippocampal representations of latent information. Nature Communications. 11(1). 3026–3026. 29 indexed citations
12.
Hinman, James R., Mark P. Brandon, Jason R. Climer, G. William Chapman, & Michael E. Hasselmo. (2016). Multiple Running Speed Signals in Medial Entorhinal Cortex. Neuron. 91(3). 666–679. 114 indexed citations
13.
Brandon, Mark P., Julie Koenig, Jill K. Leutgeb, & Stefan Leutgeb. (2014). New and Distinct Hippocampal Place Codes Are Generated in a New Environment during Septal Inactivation. Neuron. 82(4). 789–796. 98 indexed citations
14.
Raudies, Florian, Mark P. Brandon, G. William Chapman, & Michael E. Hasselmo. (2014). Head direction is coded more strongly than movement direction in a population of entorhinal neurons. Brain Research. 1621. 355–367. 49 indexed citations
15.
Brandon, Mark P., Andrew Bogaard, Nathan W. Schultheiss, & Michael E. Hasselmo. (2013). Segregation of cortical head direction cell assemblies on alternating theta cycles. Nature Neuroscience. 16(6). 739–748. 85 indexed citations
16.
Hasselmo, Michael E. & Mark P. Brandon. (2012). A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing. Frontiers in Neural Circuits. 6. 30–30. 46 indexed citations
17.
Brandon, Mark P., et al.. (2011). Head direction cells in the postsubiculum do not show replay of prior waking sequences during sleep. Hippocampus. 22(3). 604–618. 23 indexed citations
18.
Hasselmo, Michael E., Mark P. Brandon, Motoharu Yoshida, et al.. (2009). A phase code for memory could arise from circuit mechanisms in entorhinal cortex. Neural Networks. 22(8). 1129–1138. 19 indexed citations
19.
Brandon, Mark P. & Michael E. Hasselmo. (2009). Sources of the spatial code within the hippocampus. F1000 Biology Reports. 1. 3–3. 7 indexed citations
20.
Hasselmo, Michael E., Lisa M. Giocomo, Mark P. Brandon, & Motoharu Yoshida. (2009). Cellular dynamical mechanisms for encoding the time and place of events along spatiotemporal trajectories in episodic memory. Behavioural Brain Research. 215(2). 261–274. 31 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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