David M. Smith

2.8k total citations
51 papers, 1.9k citations indexed

About

David M. Smith is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, David M. Smith has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 25 papers in Cellular and Molecular Neuroscience and 12 papers in Sensory Systems. Recurrent topics in David M. Smith's work include Memory and Neural Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (21 papers) and Olfactory and Sensory Function Studies (12 papers). David M. Smith is often cited by papers focused on Memory and Neural Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (21 papers) and Olfactory and Sensory Function Studies (12 papers). David M. Smith collaborates with scholars based in United States, United Kingdom and Canada. David M. Smith's co-authors include Sheri J. Y. Mizumori, Adam M. Miller, L. Matthew Law, Lindsey C. Vedder, David A. Bulkin, Anthony James, Susan James, Jennifer Barredo, P. Gill and Marc Harrison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

David M. Smith

49 papers receiving 1.8k 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. Smith United States 22 1.3k 935 187 158 147 51 1.9k
Marc Guitart‐Masip United Kingdom 33 2.5k 2.0× 924 1.0× 295 1.6× 73 0.5× 76 0.5× 70 3.6k
Sarah R. Heilbronner United States 25 1.8k 1.4× 392 0.4× 101 0.5× 68 0.4× 94 0.6× 56 2.7k
Mary L. Phillips United States 14 1.8k 1.4× 464 0.5× 104 0.6× 102 0.6× 78 0.5× 29 2.8k
Nils Kolling United Kingdom 23 2.2k 1.7× 294 0.3× 97 0.5× 58 0.4× 84 0.6× 36 2.7k
Ethan S. Bromberg-Martin United States 15 1.9k 1.5× 1.4k 1.5× 150 0.8× 80 0.5× 146 1.0× 21 3.3k
Thomas E. Gladwin Netherlands 32 1.8k 1.4× 320 0.3× 90 0.5× 59 0.4× 250 1.7× 120 3.5k
Dino J. Levy Israel 15 1.3k 1.0× 377 0.4× 56 0.3× 127 0.8× 106 0.7× 34 2.1k
J S Morris United Kingdom 13 2.3k 1.8× 262 0.3× 291 1.6× 130 0.8× 92 0.6× 29 3.3k
Peter Shizgal Canada 31 2.3k 1.8× 2.0k 2.2× 150 0.8× 127 0.8× 61 0.4× 101 4.1k
Itzhak Aharon United States 14 2.1k 1.6× 313 0.3× 58 0.3× 138 0.9× 101 0.7× 26 3.1k

Countries citing papers authored by David M. Smith

Since Specialization
Citations

This map shows the geographic impact of David M. Smith'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. Smith 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. Smith more than expected).

Fields of papers citing papers by David M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Smith. A scholar is included among the top collaborators of David M. Smith 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. Smith. David M. Smith 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.
Shannon, R. M., et al.. (2025). The infralimbic, but not the prelimbic cortex is needed for a complex olfactory memory task. Neurobiology of Learning and Memory. 219. 108038–108038.
2.
Miller, Adam M., et al.. (2024). The retrosplenial cortical role in delayed spatial alternation. Neurobiology of Learning and Memory. 216. 108005–108005. 1 indexed citations
3.
Smith, David M., et al.. (2024). Time cells in the retrosplenial cortex. Hippocampus. 34(11). 598–607. 3 indexed citations
4.
Miller, Adam M., et al.. (2024). A comparison of hippocampal and retrosplenial cortical spatial and contextual firing patterns. Hippocampus. 34(7). 357–377. 3 indexed citations
5.
Smith, David M., et al.. (2021). The limbic memory circuit and the neural basis of contextual memory. Neurobiology of Learning and Memory. 187. 107557–107557. 12 indexed citations
6.
Escanilla, Olga, et al.. (2020). Context-dependent odor learning requires the anterior olfactory nucleus.. Behavioral Neuroscience. 134(4). 332–343. 21 indexed citations
7.
Smith, David M., et al.. (2019). The medial prefrontal cortex is needed for resolving interference even when there are no changes in task rules and strategies.. Behavioral Neuroscience. 134(1). 15–20. 9 indexed citations
8.
Smith, David M., Adam M. Miller, & Lindsey C. Vedder. (2018). The retrosplenial cortical role in encoding behaviorally significant cues.. Behavioral Neuroscience. 132(5). 356–365. 18 indexed citations
9.
Vedder, Lindsey C., Adam M. Miller, Marc Harrison, & David M. Smith. (2016). Retrosplenial Cortical Neurons Encode Navigational Cues, Trajectories and Reward Locations During Goal Directed Navigation. Cerebral Cortex. 27(7). 3713–3723. 80 indexed citations
10.
Miller, Adam M., Lindsey C. Vedder, L. Matthew Law, & David M. Smith. (2014). Cues, context, and long-term memory: the role of the retrosplenial cortex in spatial cognition. Frontiers in Human Neuroscience. 8. 586–586. 137 indexed citations
11.
Smith, David M. & David A. Bulkin. (2014). The form and function of hippocampal context representations. Neuroscience & Biobehavioral Reviews. 40. 52–61. 84 indexed citations
12.
David, Christopher N., et al.. (2013). The medial prefrontal cortex is critical for memory retrieval and resolving interference. Learning & Memory. 20(4). 201–209. 49 indexed citations
13.
Smith, David M., et al.. (2012). A comparison of the effects of temporary hippocampal lesions on single and dual context versions of the olfactory sequence memory task.. Behavioral Neuroscience. 126(4). 588–592. 6 indexed citations
14.
Gao, Lulu, et al.. (2012). The role of adult hippocampal neurogenesis in reducing interference.. Behavioral Neuroscience. 126(3). 381–391. 44 indexed citations
15.
Smith, David M., et al.. (2011). Hippocampal context processing is critical for interference free recall of odor memories in rats. Hippocampus. 22(4). 906–913. 34 indexed citations
16.
Gill, P., Sheri J. Y. Mizumori, & David M. Smith. (2010). Hippocampal episode fields develop with learning. Hippocampus. 21(11). 1240–1249. 74 indexed citations
17.
Mizumori, Sheri J. Y., David M. Smith, & Corey B. Puryear. (2007). Hippocampal and neocortical interactions during context discrimination: Electrophysiological evidence from the rat. Hippocampus. 17(9). 851–862. 20 indexed citations
18.
James, Anthony, et al.. (2002). Evidence for non-progressive changes in adolescent-onset schizophrenia. The British Journal of Psychiatry. 180(4). 339–344. 53 indexed citations
19.
20.
James, Anthony, et al.. (1999). Is the course of brain development in schizophrenia delayed? Evidence from onsets in adolescence. Schizophrenia Research. 40(1). 1–10. 37 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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