Andrew M. Dacks

1.8k total citations
41 papers, 1.2k citations indexed

About

Andrew M. Dacks is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Andrew M. Dacks has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 20 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Genetics. Recurrent topics in Andrew M. Dacks's work include Neurobiology and Insect Physiology Research (36 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Animal Behavior and Reproduction (12 papers). Andrew M. Dacks is often cited by papers focused on Neurobiology and Insect Physiology Research (36 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Animal Behavior and Reproduction (12 papers). Andrew M. Dacks collaborates with scholars based in United States, Australia and Canada. Andrew M. Dacks's co-authors include John G. Hildebrand, Angelique C. Paulk, Wulfila Gronenberg, Thomas A. Christensen, Alan Nighorn, Carolina E. Reisenman, Klaudiusz R. Weiss, Jeffrey A. Riffell, Joshua P. Martin and Jean‐Marc Fellous and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Andrew M. Dacks

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew M. Dacks United States 20 990 562 547 313 195 41 1.2k
Shigehiro Namiki Japan 23 1.1k 1.1× 596 1.1× 447 0.8× 310 1.0× 145 0.7× 44 1.3k
Paul Szyszka Germany 19 847 0.9× 589 1.0× 483 0.9× 428 1.4× 225 1.2× 41 1.1k
Ryuichi Okada Japan 22 1.1k 1.1× 738 1.3× 579 1.1× 355 1.1× 190 1.0× 54 1.4k
Nobuhiro Yamagata Japan 15 1.1k 1.1× 636 1.1× 434 0.8× 314 1.0× 94 0.5× 23 1.2k
Kathrin Steck Germany 11 674 0.7× 477 0.8× 376 0.7× 409 1.3× 126 0.6× 12 1.0k
Emmanuel Perisse United Kingdom 12 1.3k 1.3× 658 1.2× 482 0.9× 343 1.1× 90 0.5× 15 1.4k
Sarah J. Certel United States 12 892 0.9× 477 0.8× 345 0.6× 289 0.9× 76 0.4× 23 1.1k
Masayuki Koganezawa Japan 15 1.1k 1.1× 710 1.3× 723 1.3× 238 0.8× 68 0.3× 32 1.4k
Karen A. Mesce United States 23 670 0.7× 538 1.0× 600 1.1× 480 1.5× 61 0.3× 51 1.4k
Karen Menuz United States 14 1.2k 1.2× 477 0.8× 216 0.4× 422 1.3× 292 1.5× 18 1.5k

Countries citing papers authored by Andrew M. Dacks

Since Specialization
Citations

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

Fields of papers citing papers by Andrew M. Dacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew M. Dacks

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Dacks. A scholar is included among the top collaborators of Andrew M. Dacks 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 Andrew M. Dacks. Andrew M. Dacks 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.
Azanchi, Reza, et al.. (2025). Shaping of olfactory responses by taste in a new assay for operant learning in Drosophila melanogaster. Journal of Experimental Biology. 228(24).
2.
Dacks, Andrew M., et al.. (2024). Olfactory Critical Periods: How Odor Exposure Shapes the Developing Brain in Mice and Flies. Biology. 13(2). 94–94. 4 indexed citations
3.
Dacks, Andrew M., et al.. (2023). Heterogeneous receptor expression underlies non-uniform peptidergic modulation of olfaction in Drosophila. Nature Communications. 14(1). 5280–5280. 3 indexed citations
4.
Daly, Kevin C. & Andrew M. Dacks. (2023). The self as part of the sensory ecology: how behavior affects sensation from the inside out. Current Opinion in Insect Science. 58. 101053–101053. 2 indexed citations
5.
Zhang, Xiaonan, Andrew M. Dacks, Cengiz Günay, et al.. (2019). Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron. eLife. 8. 9 indexed citations
6.
Marsat, Gary, et al.. (2018). Systematic Analysis of Transmitter Coexpression Reveals Organizing Principles of Local Interneuron Heterogeneity. eNeuro. 5(5). ENEURO.0212–18.2018. 7 indexed citations
7.
Daly, Kevin C., et al.. (2017). Co-option of a motor-to-sensory histaminergic circuit correlates with insect flight biomechanics. Proceedings of the Royal Society B Biological Sciences. 284(1859). 20170339–20170339. 10 indexed citations
8.
Zhang, Xiaonan, et al.. (2017). Identified Serotonergic Modulatory Neurons Have Heterogeneous Synaptic Connectivity within the Olfactory System of Drosophila. Journal of Neuroscience. 37(31). 7318–7331. 26 indexed citations
9.
Cropper, Elizabeth C., Andrew M. Dacks, & Klaudiusz R. Weiss. (2016). Consequences of degeneracy in network function. Current Opinion in Neurobiology. 41. 62–67. 21 indexed citations
10.
Dacks, Andrew M., et al.. (2016). Serotonergic Modulation Differentially Targets Distinct Network Elements within the Antennal Lobe of Drosophila melanogaster. Scientific Reports. 6(1). 37119–37119. 27 indexed citations
11.
Dacks, Andrew M. & Klaudiusz R. Weiss. (2013). Latent Modulation: A Basis for Non-Disruptive Promotion of Two Incompatible Behaviors by a Single Network State. Journal of Neuroscience. 33(9). 3786–3798. 24 indexed citations
12.
Dacks, Andrew M., et al.. (2013). A Characterization of the Manduca sexta Serotonin Receptors in the Context of Olfactory Neuromodulation. PLoS ONE. 8(7). e69422–e69422. 15 indexed citations
13.
Dacks, Andrew M., et al.. (2012). Removal of Default State-Associated Inhibition during Repetition Priming Improves Response Articulation. Journal of Neuroscience. 32(49). 17740–17752. 19 indexed citations
14.
Martin, Joshua P., Andrew M. Dacks, Carolina E. Reisenman, et al.. (2011). The neurobiology of insect olfaction: Sensory processing in a comparative context. Progress in Neurobiology. 95(3). 427–447. 153 indexed citations
15.
Reisenman, Carolina E., Andrew M. Dacks, & John G. Hildebrand. (2011). Local interneuron diversity in the primary olfactory center of the moth Manduca sexta. Journal of Comparative Physiology A. 197(6). 653–665. 35 indexed citations
16.
Paulk, Angelique C., et al.. (2009). Visual Processing in the Central Bee Brain. Journal of Neuroscience. 29(32). 9987–9999. 91 indexed citations
17.
Dacks, Andrew M., David Green, Cory M. Root, Alan Nighorn, & Jing W. Wang. (2009). Serotonin Modulates Olfactory Processing in the Antennal Lobe ofDrosophila. Journal of Neurogenetics. 23(4). 366–377. 88 indexed citations
18.
Paulk, Angelique C., et al.. (2008). The Processing of Color, Motion, and Stimulus Timing Are Anatomically Segregated in the Bumblebee Brain. Journal of Neuroscience. 28(25). 6319–6332. 110 indexed citations
19.
Dacks, Andrew M., Thomas A. Christensen, & John G. Hildebrand. (2006). Phylogeny of a serotonin‐immunoreactive neuron in the primary olfactory center of the insect brain. The Journal of Comparative Neurology. 498(6). 727–746. 96 indexed citations
20.
Dacks, Andrew M., Joel B. Dacks, Thomas A. Christensen, & Alan Nighorn. (2006). The cloning of one putative octopamine receptor and two putative serotonin receptors from the tobacco hawkmoth, Manduca sexta. Insect Biochemistry and Molecular Biology. 36(9). 741–747. 32 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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