Kevin C. Daly

1.3k total citations
36 papers, 821 citations indexed

About

Kevin C. Daly is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Insect Science. According to data from OpenAlex, Kevin C. Daly has authored 36 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 13 papers in Sensory Systems and 12 papers in Insect Science. Recurrent topics in Kevin C. Daly's work include Neurobiology and Insect Physiology Research (24 papers), Olfactory and Sensory Function Studies (13 papers) and Insect Pheromone Research and Control (12 papers). Kevin C. Daly is often cited by papers focused on Neurobiology and Insect Physiology Research (24 papers), Olfactory and Sensory Function Studies (13 papers) and Insect Pheromone Research and Control (12 papers). Kevin C. Daly collaborates with scholars based in United States, Germany and Switzerland. Kevin C. Daly's co-authors include Brian H. Smith, E. Gai, Ben Smith, Thomas A. Christensen, Hong Lei, John G. Hildebrand, Geraldine A. Wright, Sathees Chandra, Aurelio José Figueredo and Erich M. Staudacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Kevin C. Daly

35 papers receiving 778 citations

Peers

Kevin C. Daly

CMN

EEBS

GENET

Daisuke Kurabayashi Japan

Robert M. Olberg United States

Vikas Bhandawat United States

Gautam Reddy United States

Michael Gewecke Germany

Noriyasu Ando Japan

Eli Shlizerman United States

J. K. Lauber Canada

Hai Nguyen United States

Pablo Funes United States

Daisuke Kurabayashi Japan

Kevin C. Daly

159 ×0.4

CMN

55 ×0.2

EEBS

244 ×0.9

125 ×0.5

GENET

20 ×0.1

Citations per year, relative to Kevin C. Daly Kevin C. Daly (= 1×) peers Daisuke Kurabayashi

Countries citing papers authored by Kevin C. Daly

Since Specialization

Citations

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

Fields of papers citing papers by Kevin C. Daly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Daly. 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 Kevin C. Daly. The network helps show where Kevin C. Daly may publish in the future.

Co-authorship network of co-authors of Kevin C. Daly

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

All Works

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20 of 20 papers shown

Cheong, Han SJ, Jasper S. Phelps, Wei-Chung Allen Lee, et al.. (2024). Organization of an ascending circuit that conveys flight motor state in Drosophila. Current Biology. 34(5). 1059–1075.e5. 3 indexed citations

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

Marsat, Gary, et al.. (2023). Characterizing neural coding performance for populations of sensory neurons: comparing a weighted spike distance metrics to other analytical methods. Frontiers in Neuroscience. 17.

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

Daly, Kevin C., et al.. (2016). A Flight Sensory-Motor to Olfactory Processing Circuit in the Moth Manduca sexta. Frontiers in Neural Circuits. 10. 5–5. 12 indexed citations

Houot, Benjamin, et al.. (2014). Antennal lobe representations are optimized when olfactory stimuli are periodically structured to simulate natural wing beat effects. Frontiers in Cellular Neuroscience. 8. 159–159. 10 indexed citations

Daly, Kevin C., et al.. (2013). Odor Detection in Manduca sexta Is Optimized when Odor Stimuli Are Pulsed at a Frequency Matching the Wing Beat during Flight. PLoS ONE. 8(11). e81863–e81863. 21 indexed citations

Daly, Kevin C.. (2011). Detailed characterization of local field potential oscillations and their relationship to spike timing in the antennal lobe of the moth Manduca sexta. PubMed. 4. 12–12. 16 indexed citations

Farris, Sarah M., et al.. (2011). A subpopulation of mushroom body intrinsic neurons is generated by protocerebral neuroblasts in the tobacco hornworm moth, Manduca sexta (Sphingidae, Lepidoptera). Arthropod Structure & Development. 40(5). 395–408. 9 indexed citations

10.

Staudacher, Erich M., Wolf Huetteroth, Joachim Schachtner, & Kevin C. Daly. (2009). A 4-dimensional representation of antennal lobe output based on an ensemble of characterized projection neurons. Journal of Neuroscience Methods. 180(2). 208–223. 14 indexed citations

11.

Daly, Kevin C., et al.. (2008). Disruption of GABAA in the Insect Antennal Lobe Generally Increases Odor Detection and Discrimination Thresholds. Chemical Senses. 33(3). 267–281. 25 indexed citations

12.

Daly, Kevin C., et al.. (2007). Detection versus perception: Physiological and behavioral analysis of olfactory sensitivity in the moth (Manduca sexta).. Behavioral Neuroscience. 121(4). 794–807. 18 indexed citations

13.

Daly, Kevin C., Thomas A. Christensen, Hong Lei, Brian H. Smith, & John G. Hildebrand. (2004). Learning modulates the ensemble representations for odors in primary olfactory networks. Proceedings of the National Academy of Sciences. 101(28). 10476–10481. 94 indexed citations

14.

King, Timothy, et al.. (2004). Explosives Detection With Hard-Wired Moths. IEEE Transactions on Instrumentation and Measurement. 53(4). 1113–1118. 23 indexed citations

15.

King, Timothy, et al.. (2004). Explosives detection with hard-wired moths. 2. 1669–1672. 5 indexed citations

16.

Daly, Kevin C., et al.. (2001). Olfactory-based discrimination learning in the moth, Manduca sexta. Journal of Insect Physiology. 47(4-5). 375–384. 60 indexed citations

17.

Daly, Kevin C., et al.. (2001). The generalization of an olfactory-based conditioned response reveals unique but overlapping odour representations in the moth Manduca sexta. Journal of Experimental Biology. 204(17). 3085–3095. 56 indexed citations

18.

Daly, Kevin C. & Ben Smith. (2000). Associative olfactory learning in the moth Manduca sexta. Journal of Experimental Biology. 203(13). 2025–2038. 98 indexed citations

19.

DeVietti, Terry L., et al.. (1987). Latent inhibition: A trace conditioning phenomenon?. Learning and Motivation. 18(2). 185–201. 14 indexed citations

20.

Daly, Kevin C., et al.. (1977). Development of Capability for Multifunction Integrated Reference Assembly Evaluation.. Defense Technical Information Center (DTIC). 2 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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