David A. Townsend

1.1k total citations · 1 hit paper
7 papers, 849 citations indexed

About

David A. Townsend is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, David A. Townsend has authored 7 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David A. Townsend's work include Memory and Neural Mechanisms (3 papers), Stress Responses and Cortisol (2 papers) and Cognitive Abilities and Testing (2 papers). David A. Townsend is often cited by papers focused on Memory and Neural Mechanisms (3 papers), Stress Responses and Cortisol (2 papers) and Cognitive Abilities and Testing (2 papers). David A. Townsend collaborates with scholars based in United States. David A. Townsend's co-authors include Yevgenia Kozorovitskiy, Mingrui Zhao, Elizabeth Gould, Tracey J. Shors, Louis D. Matzel, Henya C. Grossman, Kenneth Light, Stefan Kolata, Martin Grumet and Joanne Babiarz and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Behavioral Neuroscience and Hippocampus.

In The Last Decade

David A. Townsend

7 papers receiving 829 citations

Hit Papers

Neurogenesis may relate to some but not all types of hipp... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Townsend United States 7 535 362 286 160 112 7 849
Alexandra Veyrac France 18 282 0.5× 370 1.0× 180 0.6× 148 0.9× 195 1.7× 23 994
Laure A. Farnbauch United States 7 451 0.8× 339 0.9× 177 0.6× 129 0.8× 252 2.3× 8 899
Alonso Martínez-Canabal Mexico 11 567 1.1× 446 1.2× 494 1.7× 236 1.5× 163 1.5× 18 1.2k
Axel Guskjolen Canada 13 483 0.9× 461 1.3× 468 1.6× 167 1.0× 156 1.4× 16 1.0k
Maithe Arruda‐Carvalho Canada 13 430 0.8× 519 1.4× 479 1.7× 145 0.9× 183 1.6× 21 1.0k
Nada M.‐B. Ben Abdallah Germany 9 526 1.0× 333 0.9× 174 0.6× 193 1.2× 187 1.7× 9 958
Vanessa Rodriguez Barrera United States 4 406 0.8× 425 1.2× 361 1.3× 117 0.7× 117 1.0× 5 714
R Djavadian Poland 17 247 0.5× 341 0.9× 246 0.9× 123 0.8× 211 1.9× 52 880
Frances Xia Canada 9 220 0.4× 475 1.3× 492 1.7× 206 1.3× 117 1.0× 9 889
Minee-Liane Choi United States 1 829 1.5× 598 1.7× 452 1.6× 233 1.5× 219 2.0× 2 1.3k

Countries citing papers authored by David A. Townsend

Since Specialization
Citations

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

Fields of papers citing papers by David A. Townsend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Townsend

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

All Works

7 of 7 papers shown
1.
Ramos, Joe W., et al.. (2009). Deletion of PEA-15 in mice is associated with specific impairments of spatial learning abilities. BMC Neuroscience. 10(1). 134–134. 11 indexed citations
2.
Matzel, Louis D., Henya C. Grossman, Kenneth Light, David A. Townsend, & Stefan Kolata. (2008). Age-related declines in general cognitive abilities of Balb/C mice are associated with disparities in working memory, body weight, and general activity. Learning & Memory. 15(10). 733–746. 45 indexed citations
3.
Grossman, Henya C., Kenneth Light, Stefan Kolata, et al.. (2007). Pharmacological modulation of stress reactivity dissociates general learning ability from the propensity for exploration.. Behavioral Neuroscience. 121(5). 949–964. 25 indexed citations
4.
Matzel, Louis D., Joanne Babiarz, David A. Townsend, Henya C. Grossman, & Martin Grumet. (2007). Neuronal cell adhesion molecule deletion induces a cognitive and behavioral phenotype reflective of impulsivity. Genes Brain & Behavior. 7(4). 470–480. 31 indexed citations
5.
Kolata, Stefan, et al.. (2005). Variations in working memory capacity predict individual differences in general learning abilities among genetically diverse mice. Neurobiology of Learning and Memory. 84(3). 241–246. 50 indexed citations
6.
Shors, Tracey J., David A. Townsend, Mingrui Zhao, Yevgenia Kozorovitskiy, & Elizabeth Gould. (2002). Neurogenesis may relate to some but not all types of hippocampal‐dependent learning. Hippocampus. 12(5). 578–584. 681 indexed citations breakdown →
7.
Townsend, David A. & Leslie J. Sonder. (2001). Rheologic control of buoyancy‐driven extension of the Rio Grande rift. Journal of Geophysical Research Atmospheres. 106(B8). 16515–16523. 6 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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