David H. Gire

1.8k total citations
25 papers, 1.2k citations indexed

About

David H. Gire is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, David H. Gire has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Sensory Systems and 7 papers in Biomedical Engineering. Recurrent topics in David H. Gire's work include Olfactory and Sensory Function Studies (15 papers), Neurobiology and Insect Physiology Research (12 papers) and Advanced Chemical Sensor Technologies (6 papers). David H. Gire is often cited by papers focused on Olfactory and Sensory Function Studies (15 papers), Neurobiology and Insect Physiology Research (12 papers) and Advanced Chemical Sensor Technologies (6 papers). David H. Gire collaborates with scholars based in United States, France and China. David H. Gire's co-authors include Nathan E. Schoppa, Diego Restrepo, Venkatesh N. Murthy, Jennifer D. Whitesell, Dan Rokni, Foivos Markopoulos, Wilder T. Doucette, Anan Li, Mary T. Lucero and Matthew C. Smear and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

David H. Gire

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David H. Gire United States	14	841	775	334	294	276	25	1.2k
Max L. Fletcher United States	17	744 0.9×	551 0.7×	356 1.1×	238 0.8×	233 0.8×	27	936
John P. McGann United States	20	824 1.0×	825 1.1×	454 1.4×	321 1.1×	252 0.9×	27	1.3k
Matthew C. Smear United States	16	577 0.7×	1.0k 1.3×	156 0.5×	629 2.1×	278 1.0×	18	1.9k
Hartwig Spors Germany	11	886 1.1×	1.1k 1.5×	326 1.0×	532 1.8×	379 1.4×	18	1.5k
Vikrant Kapoor United States	12	556 0.7×	586 0.8×	247 0.7×	187 0.6×	168 0.6×	13	1.1k
Brice Bathellier France	19	554 0.7×	755 1.0×	244 0.7×	711 2.4×	230 0.8×	39	1.3k
Reiko Kobayakawa Japan	14	1.1k 1.3×	989 1.3×	633 1.9×	231 0.8×	235 0.9×	20	1.6k
Jennifer Beshel United States	10	454 0.5×	527 0.7×	128 0.4×	334 1.1×	182 0.7×	10	811
Cindy Poo United States	7	709 0.8×	712 0.9×	284 0.9×	355 1.2×	261 0.9×	7	966
Dong‐Jing Zou United States	18	758 0.9×	979 1.3×	531 1.6×	115 0.4×	203 0.7×	24	1.4k

Countries citing papers authored by David H. Gire

Since Specialization

Citations

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

Fields of papers citing papers by David H. Gire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Gire

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Gire. A scholar is included among the top collaborators of David H. Gire 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 H. Gire. David H. Gire 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

Smith, Joshua R., et al.. (2023). Mechanisms of octopus arm search behavior without visual feedback. Bioinspiration & Biomimetics. 18(6). 66017–66017. 2 indexed citations

Smith, Joshua R., et al.. (2022). Lessons for Robotics From the Control Architecture of the Octopus. Frontiers in Robotics and AI. 9. 862391–862391. 7 indexed citations

Miller, Cory T., David H. Gire, Kim L. Hoke, et al.. (2022). Natural behavior is the language of the brain. Current Biology. 32(10). R482–R493. 74 indexed citations

Gire, David H., et al.. (2021). The Lesser Pacific Striped Octopus, Octopus chierchiae: An Emerging Laboratory Model. Frontiers in Marine Science. 8. 8 indexed citations

Lewis, M. E. Suzanne, et al.. (2021). Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb. Frontiers in Cellular Neuroscience. 15. 633757–633757. 8 indexed citations

Wang, Ziheng, et al.. (2021). A Machine Learning Approach for Detecting Vicarious Trial and Error Behaviors. Frontiers in Neuroscience. 15. 676779–676779. 1 indexed citations

Baker, Phillip M., et al.. (2021). A selective role for the mPFC during choice and deliberation, but not spatial memory retention over short delays. Hippocampus. 31(7). 690–700. 10 indexed citations

Lewis, M. E. Suzanne, et al.. (2021). Using Head-Mounted Ethanol Sensors to Monitor Olfactory Information and Determine Behavioral Changes Associated with Ethanol-Plume Contact during Mouse Odor-Guided Navigation. eNeuro. 8(1). ENEURO.0285–20.2020. 8 indexed citations

Gire, David H., et al.. (2020). Many Paths to the Same Goal: Balancing Exploration and Exploitation during Probabilistic Route Planning. eNeuro. 7(3). ENEURO.0536–19.2020. 14 indexed citations

10.

Gire, David H., Joseph D. Zak, Jennifer N. Bourne, Noah Goodson, & Nathan E. Schoppa. (2019). Balancing Extrasynaptic Excitation and Synaptic Inhibition within Olfactory Bulb Glomeruli. eNeuro. 6(4). ENEURO.0247–19.2019. 10 indexed citations

11.

Baker, Keeley L., Michael H. Dickinson, David H. Gire, et al.. (2018). Algorithms for Olfactory Search across Species. Journal of Neuroscience. 38(44). 9383–9389. 101 indexed citations

12.

Gire, David H., Vikrant Kapoor, Annie E. Arrighi‐Allisan, Agnese Seminara, & Venkatesh N. Murthy. (2016). Mice Develop Efficient Strategies for Foraging and Navigation Using Complex Natural Stimuli. Current Biology. 26(10). 1261–1273. 72 indexed citations

13.

Li, Anan, David H. Gire, & Diego Restrepo. (2015). ϒ Spike-Field Coherence in a Population of Olfactory Bulb Neurons Differentiates between Odors Irrespective of Associated Outcome. Journal of Neuroscience. 35(14). 5808–5822. 44 indexed citations

14.

Li, Anan, David H. Gire, Thomas Bozza, & Diego Restrepo. (2014). Precise Detection of Direct Glomerular Input Duration by the Olfactory Bulb. Journal of Neuroscience. 34(48). 16058–16064. 47 indexed citations

15.

Gire, David H., Diego Restrepo, Terrence J. Sejnowski, et al.. (2013). Temporal Processing in the Olfactory System: Can We See a Smell?. Neuron. 78(3). 416–432. 73 indexed citations

16.

Gire, David H., Jennifer D. Whitesell, Wilder T. Doucette, & Diego Restrepo. (2013). Information for decision-making and stimulus identification is multiplexed in sensory cortex. Nature Neuroscience. 16(8). 991–993. 63 indexed citations

17.

Gire, David H., Kevin M. Franks, Joseph D. Zak, et al.. (2012). Mitral Cells in the Olfactory Bulb Are Mainly Excited through a Multistep Signaling Path. Journal of Neuroscience. 32(9). 2964–2975. 131 indexed citations

18.

Doucette, Wilder T., et al.. (2011). Associative Cortex Features in the First Olfactory Brain Relay Station. Neuron. 69(6). 1176–1187. 125 indexed citations

19.

Gire, David H. & Nathan E. Schoppa. (2009). Control of On/Off Glomerular Signaling by a Local GABAergic Microcircuit in the Olfactory Bulb. Journal of Neuroscience. 29(43). 13454–13464. 120 indexed citations

20.

Gire, David H. & Nathan E. Schoppa. (2008). Long-Term Enhancement of Synchronized Oscillations by Adrenergic Receptor Activation in the Olfactory Bulb. Journal of Neurophysiology. 99(4). 2021–2025. 54 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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