Luke T. Coddington

825 total citations
13 papers, 472 citations indexed

About

Luke T. Coddington is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Luke T. Coddington has authored 13 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Luke T. Coddington's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Receptor Mechanisms and Signaling (3 papers). Luke T. Coddington is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Receptor Mechanisms and Signaling (3 papers). Luke T. Coddington collaborates with scholars based in United States, Germany and United Kingdom. Luke T. Coddington's co-authors include Joshua T. Dudman, Sarah Lindo, Junchol Park, Jacques I. Wadiche, Linda Overstreet‐Wadiche, Stephanie Rudolph, Rita Sattler, Jeffrey D. Rothstein, Wei‐Xing Pan and Violette Renard Recinos and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Luke T. Coddington

12 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luke T. Coddington United States	10	298	265	145	57	42	13	472
Rosanna P. Sammons Germany	10	286 1.0×	192 0.7×	126 0.9×	58 1.0×	30 0.7×	14	521
Negah Rahmati United States	9	222 0.7×	193 0.7×	116 0.8×	84 1.5×	43 1.0×	12	442
Nora L. Benavidez United States	4	283 0.9×	295 1.1×	100 0.7×	27 0.5×	30 0.7×	4	508
Katarina E. Leão Brazil	12	414 1.4×	313 1.2×	194 1.3×	55 1.0×	94 2.2×	21	588
Stephanie M. McTighe United Kingdom	9	205 0.7×	387 1.5×	170 1.2×	45 0.8×	45 1.1×	11	605
Jaerin Sohn Japan	14	425 1.4×	253 1.0×	174 1.2×	40 0.7×	68 1.6×	21	650
Ann M. Clemens United States	9	335 1.1×	171 0.6×	243 1.7×	24 0.4×	31 0.7×	18	563
Lena A. Khibnik United States	7	426 1.4×	215 0.8×	226 1.6×	48 0.8×	21 0.5×	8	605
Muye Zhu United States	5	323 1.1×	286 1.1×	129 0.9×	52 0.9×	15 0.4×	5	552
Lowry A. Kirkby United States	7	355 1.2×	249 0.9×	208 1.4×	125 2.2×	38 0.9×	8	640

Countries citing papers authored by Luke T. Coddington

Since Specialization

Citations

This map shows the geographic impact of Luke T. Coddington'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 Luke T. Coddington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke T. Coddington more than expected).

Fields of papers citing papers by Luke T. Coddington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke T. Coddington. 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 Luke T. Coddington. The network helps show where Luke T. Coddington may publish in the future.

Co-authorship network of co-authors of Luke T. Coddington

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

All Works

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13 of 13 papers shown

Coddington, Luke T., et al.. (2023). Afferent convergence to a shared population of interneuron AMPA receptors. Nature Communications. 14(1). 3113–3113.

Coddington, Luke T., Sarah Lindo, & Joshua T. Dudman. (2023). Mesolimbic dopamine adapts the rate of learning from action. Nature. 614(7947). 294–302. 61 indexed citations

Pan, Wei‐Xing, Luke T. Coddington, & Joshua T. Dudman. (2021). Dissociable contributions of phasic dopamine activity to reward and prediction. Cell Reports. 36(10). 109684–109684. 15 indexed citations

Coddington, Luke T. & Joshua T. Dudman. (2020). In Vivo Optogenetics with Stimulus Calibration. Methods in molecular biology. 2188. 273–283. 5 indexed citations

Park, Junchol, Luke T. Coddington, & Joshua T. Dudman. (2020). Basal Ganglia Circuits for Action Specification. Annual Review of Neuroscience. 43(1). 485–507. 51 indexed citations

Coddington, Luke T. & Joshua T. Dudman. (2019). Learning from Action: Reconsidering Movement Signaling in Midbrain Dopamine Neuron Activity. Neuron. 104(1). 63–77. 88 indexed citations

Coddington, Luke T. & Joshua T. Dudman. (2018). The timing of action determines reward prediction signals in identified midbrain dopamine neurons. Nature Neuroscience. 21(11). 1563–1573. 118 indexed citations

Brown, Jennifer, Luke T. Coddington, D. Gowanlock R. Tervo, et al.. (2018). Expanding the Optogenetics Toolkit by Topological Inversion of Rhodopsins. Cell. 175(4). 1131–1140.e11. 18 indexed citations

Coddington, Luke T., et al.. (2017). Non-synaptic signaling from cerebellar climbing fibers modulates Golgi cell activity. eLife. 6. 19 indexed citations

10.

Coddington, Luke T., et al.. (2014). The Contribution of Extrasynaptic Signaling to Cerebellar Information Processing. The Cerebellum. 13(4). 513–520. 5 indexed citations

11.

Coddington, Luke T., et al.. (2013). Spillover-Mediated Feedforward Inhibition Functionally Segregates Interneuron Activity. Neuron. 78(6). 1050–1062. 52 indexed citations

12.

Sattler, Rita, Betty Tyler, Benjamin Hoover, et al.. (2013). Increased expression of glutamate transporter GLT-1 in peritumoral tissue associated with prolonged survival and decreases in tumor growth in a rat model of experimental malignant glioma. Journal of neurosurgery. 119(4). 878–886. 23 indexed citations

13.

Sattler, Rita, et al.. (2011). Human nasal olfactory epithelium as a dynamic marker for CNS therapy development. Experimental Neurology. 232(2). 203–211. 17 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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