Douglas A. Baxter

6.2k total citations
113 papers, 4.5k citations indexed

About

Douglas A. Baxter is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Douglas A. Baxter has authored 113 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cellular and Molecular Neuroscience, 60 papers in Cognitive Neuroscience and 34 papers in Molecular Biology. Recurrent topics in Douglas A. Baxter's work include Neurobiology and Insect Physiology Research (46 papers), Neural dynamics and brain function (43 papers) and Neuroscience and Neuropharmacology Research (30 papers). Douglas A. Baxter is often cited by papers focused on Neurobiology and Insect Physiology Research (46 papers), Neural dynamics and brain function (43 papers) and Neuroscience and Neuropharmacology Research (30 papers). Douglas A. Baxter collaborates with scholars based in United States, Germany and Italy. Douglas A. Baxter's co-authors include John H. Byrne, Paul Smolen, Romuald Nargeot, John W. Clark, Carmen C. Canavier, Shuzo Sugita, H. Lechner, George D. Bittner, Björn Brembs and Riccardo Mozzachiodi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Douglas A. Baxter

111 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas A. Baxter United States 43 2.6k 1.7k 1.6k 546 471 113 4.5k
Allen I. Selverston United States 45 3.7k 1.4× 878 0.5× 3.4k 2.1× 1.4k 2.6× 570 1.2× 121 6.9k
John H. Byrne United States 58 6.6k 2.5× 3.2k 1.9× 3.5k 2.1× 714 1.3× 993 2.1× 225 9.8k
Ronald M. Harris‐Warrick United States 55 6.1k 2.3× 2.3k 1.4× 2.7k 1.6× 415 0.8× 670 1.4× 132 8.6k
Andrew S. French Canada 32 2.3k 0.9× 890 0.5× 964 0.6× 226 0.4× 432 0.9× 199 3.9k
Richard Bertram United States 40 931 0.4× 2.0k 1.2× 888 0.5× 1.1k 2.0× 232 0.5× 171 5.1k
Rob R. de Ruyter van Steveninck United States 13 1.7k 0.7× 694 0.4× 2.5k 1.5× 612 1.1× 265 0.6× 20 3.8k
L. F. Abbott United States 48 6.4k 2.4× 1.2k 0.7× 8.3k 5.1× 1.2k 2.1× 353 0.7× 89 11.8k
Yosef Yarom Israel 42 5.1k 2.0× 2.0k 1.2× 4.2k 2.6× 762 1.4× 142 0.3× 98 7.7k
Zachary F. Mainen United States 46 6.4k 2.4× 1.6k 1.0× 7.0k 4.3× 902 1.7× 259 0.5× 75 10.8k
Gen Matsumoto Japan 39 1.5k 0.6× 2.5k 1.5× 956 0.6× 509 0.9× 110 0.2× 163 5.7k

Countries citing papers authored by Douglas A. Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Douglas A. Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas A. Baxter

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas A. Baxter. A scholar is included among the top collaborators of Douglas A. Baxter 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 Douglas A. Baxter. Douglas A. Baxter 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.
Baxter, Douglas A., et al.. (2022). Neuronal population activity dynamics reveal a low-dimensional signature of operant learning in Aplysia. Communications Biology. 5(1). 90–90. 3 indexed citations
2.
3.
Smolen, Paul, et al.. (2016). Computational model of a positive BDNF feedback loop in hippocampal neurons following inhibitory avoidance training. Learning & Memory. 23(12). 714–722. 14 indexed citations
4.
Smolen, Paul, Douglas A. Baxter, & John H. Byrne. (2012). Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model. PLoS Computational Biology. 8(8). e1002620–e1002620. 37 indexed citations
5.
Baxter, Douglas A., et al.. (2008). Molecular Mechanisms Underlying a Cellular Analog of Operant Reward Learning. Neuron. 59(5). 815–828. 47 indexed citations
6.
Flynn, Mark, et al.. (2006). Role of A-type K+ channels in spike broadening observed in soma and axon of Hermissenda type-B photoreceptors: A simulation study. Journal of Computational Neuroscience. 21(1). 89–99. 1 indexed citations
7.
Song, Hao, et al.. (2006). Bifurcation and Singularity Analysis of a Molecular Network for the Induction of Long-Term Memory. Biophysical Journal. 90(7). 2309–2325. 28 indexed citations
8.
Baxter, Douglas A. & John H. Byrne. (2006). Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning. Learning & Memory. 13(6). 669–680. 72 indexed citations
9.
Pettigrew, David B., Paul Smolen, Douglas A. Baxter, & John H. Byrne. (2005). Dynamic Properties of Regulatory Motifs Associated with Induction of Three Temporal Domains of Memory in Aplysia. Journal of Computational Neuroscience. 18(2). 163–181. 34 indexed citations
10.
Brembs, Björn, Douglas A. Baxter, & John H. Byrne. (2004). Extending In Vitro Conditioning in Aplysia to Analyze Operant and Classical Processes in the Same Preparation. Learning & Memory. 11(4). 412–420. 23 indexed citations
11.
Clark, John W., et al.. (2004). Multimodal Behavior in a Four Neuron Ring Circuit: Mode Switching. IEEE Transactions on Biomedical Engineering. 51(2). 205–218. 23 indexed citations
12.
Baxter, Douglas A., et al.. (2003). Computational Study of Enhanced Excitability in Hermissenda: Membrane Conductances Modulated by 5-HT. Journal of Computational Neuroscience. 15(1). 105–121. 11 indexed citations
13.
Flynn, Mark, et al.. (2003). A Computational Study of the Role of Spike Broadening in Synaptic Facilitation of Hermissenda. Journal of Computational Neuroscience. 15(1). 29–41. 8 indexed citations
14.
Amini, Behrang, et al.. (2003). Spontaneous Activity of Dopaminergic Retinal Neurons. Biophysical Journal. 85(4). 2158–2169. 17 indexed citations
15.
Brembs, Björn, et al.. (2002). Operant Reward Learning in Aplysia : Neuronal Correlates and Mechanisms. Science. 296(5573). 1706–1709. 197 indexed citations
16.
Nargeot, Romuald, Douglas A. Baxter, & John H. Byrne. (2002). Correlation between activity in neuron B52 and two features of fictive feeding in Aplysia. Neuroscience Letters. 328(2). 85–88. 12 indexed citations
17.
Smolen, Paul, Douglas A. Baxter, & John H. Byrne. (2000). Mathematical Modeling of Gene Networks. Neuron. 26(3). 567–580. 346 indexed citations
18.
Baxter, Douglas A. & George D. Bittner. (1991). Synaptic plasticity at crayfish neuromuscular junctions: Presynaptic inhibition. Synapse. 7(3). 244–251. 16 indexed citations
19.
Bittner, George D. & Douglas A. Baxter. (1991). Synaptic plasticity at crayfish neuromuscular junctions: Facilitation and augmentation. Synapse. 7(3). 235–243. 16 indexed citations
20.
Gingrich, Kevin J., Douglas A. Baxter, & John H. Byrne. (1988). Mathematical model of cellular mechanisms contributing to presynaptic facilitation. Brain Research Bulletin. 21(3). 513–520. 28 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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