Thomas M. Bartol

3.8k total citations
46 papers, 2.1k citations indexed

About

Thomas M. Bartol is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Thomas M. Bartol has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 23 papers in Molecular Biology and 14 papers in Cognitive Neuroscience. Recurrent topics in Thomas M. Bartol's work include Neuroscience and Neuropharmacology Research (20 papers), Neural dynamics and brain function (14 papers) and Photoreceptor and optogenetics research (10 papers). Thomas M. Bartol is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Neural dynamics and brain function (14 papers) and Photoreceptor and optogenetics research (10 papers). Thomas M. Bartol collaborates with scholars based in United States, France and Switzerland. Thomas M. Bartol's co-authors include Terrence J. Sejnowski, Joel R. Stiles, Miriam M. Salpeter, E. E. Salpeter, Kevin M. Franks, Kristen M. Harris, Justin P. Kinney, Mark H. Ellisman, Dirk van Helden and Bruce R. Land and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Thomas M. Bartol

43 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas M. Bartol United States 24 1.1k 1.1k 524 235 212 46 2.1k
Stephen J. Eglen United Kingdom 25 912 0.8× 1.2k 1.1× 601 1.1× 157 0.7× 92 0.4× 70 1.8k
Yu Mu China 20 779 0.7× 849 0.8× 846 1.6× 443 1.9× 310 1.5× 86 2.5k
Nigel J. Emptage United Kingdom 25 1.2k 1.1× 1.9k 1.8× 732 1.4× 321 1.4× 119 0.6× 56 2.7k
Hiroto Takahashi Japan 26 1.4k 1.2× 1.3k 1.2× 463 0.9× 238 1.0× 121 0.6× 117 3.2k
Jack Waters United States 29 976 0.9× 1.8k 1.7× 1.4k 2.6× 169 0.7× 340 1.6× 55 2.9k
Quan Wen China 25 493 0.4× 649 0.6× 367 0.7× 168 0.7× 181 0.9× 79 2.1k
Helmut J. Koester Germany 9 664 0.6× 1.4k 1.2× 988 1.9× 79 0.3× 213 1.0× 12 1.9k
Gregory D. Smith United States 28 1.6k 1.4× 840 0.8× 513 1.0× 169 0.7× 73 0.3× 116 3.0k
Geoffrey J. Goodhill Australia 33 974 0.9× 1.7k 1.6× 988 1.9× 808 3.4× 197 0.9× 119 3.1k

Countries citing papers authored by Thomas M. Bartol

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Bartol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas M. Bartol

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Bartol. A scholar is included among the top collaborators of Thomas M. Bartol 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 Thomas M. Bartol. Thomas M. Bartol 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.
Thoreson, Wallace B., et al.. (2025). The architecture of invaginating rod synapses slows glutamate diffusion and shapes synaptic responses. The Journal of General Physiology. 157(3).
2.
Bartol, Thomas M., et al.. (2024). Synaptic Information Storage Capacity Measured With Information Theory. Neural Computation. 36(5). 781–802. 3 indexed citations
3.
García, Guadalupe C., Ali Sinan Saglam, James R. Faeder, et al.. (2024). MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface. PLoS Computational Biology. 20(4). e1011800–e1011800. 5 indexed citations
4.
Bartol, Thomas M., et al.. (2023). Simulating actin networks in synaptic spine heads using dynamical graph grammars. Biophysical Journal. 122(3). 283a–283a.
5.
García, Guadalupe C., et al.. (2023). Mitochondrial morphology governs ATP production rate. The Journal of General Physiology. 155(9). 11 indexed citations
6.
Compans, Benjamin, Emmanouela Kallergi, Silvia Sposini, et al.. (2021). NMDAR-dependent long-term depression is associated with increased short term plasticity through autophagy mediated loss of PSD-95. Nature Communications. 12(1). 2849–2849. 84 indexed citations
7.
Bartol, Thomas M., et al.. (2021). Presynaptic endoplasmic reticulum regulates short-term plasticity in hippocampal synapses. Communications Biology. 4(1). 241–241. 22 indexed citations
8.
Bartol, Thomas M., et al.. (2019). Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions. Physical review. E. 99(6). 63315–63315. 2 indexed citations
9.
Jullié, Damien, Miriam Stoeber, Jean‐Baptiste Sibarita, et al.. (2019). A Discrete Presynaptic Vesicle Cycle for Neuromodulator Receptors. Neuron. 105(4). 663–677.e8. 39 indexed citations
10.
García, Guadalupe C., Thomas M. Bartol, Sébastien Phan, et al.. (2019). Mitochondrial morphology provides a mechanism for energy buffering at synapses. Scientific Reports. 9(1). 18306–18306. 63 indexed citations
11.
Bartol, Thomas M., Masaaki Kuwajima, John M. Mendenhall, et al.. (2018). Long-term potentiation expands information content of hippocampal dentate gyrus synapses. Proceedings of the National Academy of Sciences. 115(10). E2410–E2418. 38 indexed citations
12.
Bartol, Thomas M., et al.. (2016). Efficient Multiscale Models of Polymer Assembly. Biophysical Journal. 111(1). 185–196. 3 indexed citations
13.
Stefan, Melanie I., Thomas M. Bartol, Terrence J. Sejnowski, & Mary B. Kennedy. (2014). Multi-state Modeling of Biomolecules. PLoS Computational Biology. 10(9). e1003844–e1003844. 23 indexed citations
14.
Bartol, Thomas M., et al.. (2013). Anomalous Diffusion of Single Particles in Cytoplasm. Biophysical Journal. 104(8). 1652–1660. 96 indexed citations
15.
Kinney, Justin P., Josef Špaček, Thomas M. Bartol, et al.. (2012). Extracellular sheets and tunnels modulate glutamate diffusion in hippocampal neuropil. The Journal of Comparative Neurology. 521(2). 448–464. 107 indexed citations
16.
Modchang, Charin, Suhita Nadkarni, Thomas M. Bartol, et al.. (2010). A comparison of deterministic and stochastic simulations of neuronal vesicle release models. Physical Biology. 7(2). 26008–26008. 22 indexed citations
17.
Kerr, Rex, Thomas M. Bartol, Boris Kaminsky, et al.. (2008). Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM Journal on Scientific Computing. 30(6). 3126–3149. 230 indexed citations
18.
Casanova, Henri, Francine Berman, Thomas M. Bartol, et al.. (2004). The Virtual Instrument: Support for Grid-Enabled Mcell Simulations. The International Journal of High Performance Computing Applications. 18(1). 3–17. 18 indexed citations
19.
Franks, Kevin M., Thomas M. Bartol, & Terrence J. Sejnowski. (2002). A Monte Carlo Model Reveals Independent Signaling at Central Glutamatergic Synapses. Biophysical Journal. 83(5). 2333–2348. 135 indexed citations
20.
Bartol, Thomas M., Bruce R. Land, E. E. Salpeter, & Miriam M. Salpeter. (1991). Monte Carlo simulation of miniature endplate current generation in the vertebrate neuromuscular junction. Biophysical Journal. 59(6). 1290–1307. 144 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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