Joël Tabak

2.0k total citations
55 papers, 1.5k citations indexed

About

Joël Tabak is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Joël Tabak has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Joël Tabak's work include Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (17 papers) and Neuroscience and Neuropharmacology Research (14 papers). Joël Tabak is often cited by papers focused on Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (17 papers) and Neuroscience and Neuropharmacology Research (14 papers). Joël Tabak collaborates with scholars based in United States, United Kingdom and Australia. Joël Tabak's co-authors include Richard Bertram, Michael J. O’Donovan, John Rinzel, Stanko S. Stojilković, Walter Senn, Martin Wechselberger, Wondimu Teka, Theodore Vo, Arturo E. González-Iglesias and Marc E. Freeman and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Endocrine Reviews.

In The Last Decade

Joël Tabak

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joël Tabak United States 22 610 563 429 363 280 55 1.5k
Attila Szücs Hungary 21 605 1.0× 488 0.9× 247 0.6× 321 0.9× 128 0.5× 54 1.3k
Frances K. Skinner Canada 24 1.3k 2.1× 1.4k 2.4× 359 0.8× 445 1.2× 200 0.7× 86 2.0k
N. A. Gorelova Canada 13 911 1.5× 1.2k 2.1× 122 0.3× 502 1.4× 186 0.7× 17 1.7k
Itay Hurwitz Israel 18 649 1.1× 837 1.5× 66 0.2× 110 0.3× 37 0.1× 28 1.2k
Jorge Golowasch United States 23 1.5k 2.4× 2.0k 3.5× 365 0.9× 756 2.1× 81 0.3× 46 2.7k
Kathleen A. Martin United States 12 620 1.0× 538 1.0× 86 0.2× 166 0.5× 18 0.1× 16 1.0k
Roberto F. Galán United States 23 1.1k 1.9× 545 1.0× 473 1.1× 149 0.4× 343 1.2× 46 1.8k
Thomas K. Berger Germany 25 1.6k 2.7× 1.6k 2.9× 169 0.4× 572 1.6× 41 0.1× 43 2.5k
X.-J. Wang United States 11 1.3k 2.1× 721 1.3× 327 0.8× 160 0.4× 212 0.8× 12 1.6k
Farzan Nadim United States 28 1.5k 2.4× 1.7k 3.1× 387 0.9× 320 0.9× 173 0.6× 92 2.3k

Countries citing papers authored by Joël Tabak

Since Specialization
Citations

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

Fields of papers citing papers by Joël Tabak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joël Tabak. 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 Joël Tabak. The network helps show where Joël Tabak may publish in the future.

Co-authorship network of co-authors of Joël Tabak

This figure shows the co-authorship network connecting the top 25 collaborators of Joël Tabak. A scholar is included among the top collaborators of Joël Tabak 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 Joël Tabak. Joël Tabak 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.
Bera, Katarzyna D., Joël Tabak, & Rutger J. Ploeg. (2024). No Evidence of Progressive Proinflammatory Cytokine Storm in Brain-dead Organ Donors—A Time-course Analysis Using Clinical Samples. Transplantation. 108(4). 923–929. 6 indexed citations
2.
Mucha, Mariusz, Arnaud Monteil, Paul G. Winyard, et al.. (2024). The background sodium leak channel NALCN is a major controlling factor in pituitary cell excitability. The Journal of Physiology. 603(2). 301–317. 1 indexed citations
3.
Tabak, Joël, et al.. (2024). Population bursts in a modular neural network as a mechanism for synchronized activity in KNDy neurons. PLoS Computational Biology. 20(7). e1011820–e1011820. 2 indexed citations
4.
Borisyuk, Roman, et al.. (2023). From phase advance to phase delay: Flexible coordination between neuronal rhythms by the duration of synaptic input. Physical Review Research. 5(3). 2 indexed citations
5.
Desroches, Mathieu, et al.. (2020). Canard-induced complex oscillations in an excitatory network. Journal of Mathematical Biology. 80(7). 2075–2107. 10 indexed citations
6.
Zavala, Eder, Margaritis Voliotis, Tanja Zerenner, et al.. (2020). Dynamic Hormone Control of Stress and Fertility. Frontiers in Physiology. 11. 598845–598845. 19 indexed citations
7.
Zavala, Eder, Kyle C. A. Wedgwood, Margaritis Voliotis, et al.. (2019). Mathematical Modelling of Endocrine Systems. Trends in Endocrinology and Metabolism. 30(4). 244–257. 51 indexed citations
8.
Tabak, Joël, et al.. (2018). A Compartmental Model to Investigate Local and Global Ca2+ Dynamics in Astrocytes. Frontiers in Computational Neuroscience. 12. 94–94. 11 indexed citations
9.
Tabak, Joël, et al.. (2017). Selected aspects of the urinary system anatomy and physiology. 89. 1–5. 3 indexed citations
10.
Fletcher, Patrick A., et al.. (2014). Interpreting Frequency Responses to Dose-Conserved Pulsatile Input Signals in Simple Cell Signaling Motifs. PLoS ONE. 9(4). e95613–e95613. 15 indexed citations
11.
Ayan, Sevgi Şengül, Robert Clewley, Richard Bertram, & Joël Tabak. (2014). Determining the contributions of divisive and subtractive feedback in the Hodgkin-Huxley model. Journal of Computational Neuroscience. 37(3). 403–415. 4 indexed citations
12.
Tomaiuolo, Maurizio, Richard Bertram, Gareth Leng, & Joël Tabak. (2012). Models of Electrical Activity: Calibration and Prediction Testing on the Same Cell. Biophysical Journal. 103(9). 2021–2032. 9 indexed citations
13.
Teka, Wondimu, Joël Tabak, Theodore Vo, Martin Wechselberger, & Richard Bertram. (2011). The dynamics underlying pseudo-plateau bursting in a pituitary cell model. PubMed. 1(1). 39 indexed citations
14.
Tabak, Joël, Maurizio Tomaiuolo, Arturo E. González-Iglesias, Lorin S. Milescu, & Richard Bertram. (2011). Fast-Activating Voltage- and Calcium-Dependent Potassium (BK) Conductance Promotes Bursting in Pituitary Cells: A Dynamic Clamp Study. Journal of Neuroscience. 31(46). 16855–16863. 49 indexed citations
15.
Vo, Theodore, Richard Bertram, Joël Tabak, & Martin Wechselberger. (2010). Mixed mode oscillations as a mechanism for pseudo-plateau bursting. Journal of Computational Neuroscience. 28(3). 443–458. 65 indexed citations
16.
Bertram, Richard, Cleyde V. Helena, Arturo E. González-Iglesias, Joël Tabak, & M. E. Freeman. (2010). A Tale of Two Rhythms: The Emerging Roles of Oxytocin in Rhythmic Prolactin Release. Journal of Neuroendocrinology. 22(7). 778–784. 22 indexed citations
17.
Tsaneva‐Atanasova, Krasimira, Hinke M. Osinga, Joël Tabak, & Morten Gram Pedersen. (2010). Modeling Mechanisms of Cell Secretion. Acta Biotheoretica. 58(4). 315–327. 6 indexed citations
18.
Tabak, Joël, C. R. Murphey, & Lee E. Moore. (2000). Parameter Estimation Methods for Single Neuron Models. Journal of Computational Neuroscience. 9(3). 215–236. 20 indexed citations
19.
Tabak, Joël & Lee E. Moore. (1998). Simulation and Parameter Estimation Study of a Simple Neuronal Model of Rhythm Generation: Role of NMDA and Non-NMDA Receptors. Journal of Computational Neuroscience. 5(2). 209–235. 9 indexed citations
20.
Tabak, Joël, et al.. (1975). The effect of butaclamol and of other neuroleptic agents on the apomorphine-elicited inhibition of synaptosomal tyrosine hydroxylase activity.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 1(5). 501–10. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Attila Szücs Breakdown of academic impact, for papers by Frances K. Skinner Breakdown of academic impact, for papers by N. A. Gorelova Breakdown of academic impact, for papers by Itay Hurwitz Breakdown of academic impact, for papers by Jorge Golowasch Breakdown of academic impact, for papers by Kathleen A. Martin Breakdown of academic impact, for papers by Roberto F. Galán Breakdown of academic impact, for papers by Thomas K. Berger Breakdown of academic impact, for papers by X.-J. Wang Breakdown of academic impact, for papers by Farzan Nadim
Rankless by CCL
2026