Mayank Mehta

4.6k total citations · 1 hit paper
41 papers, 2.9k citations indexed

About

Mayank Mehta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Mayank Mehta has authored 41 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 27 papers in Cellular and Molecular Neuroscience and 6 papers in Sensory Systems. Recurrent topics in Mayank Mehta's work include Neuroscience and Neuropharmacology Research (26 papers), Neural dynamics and brain function (22 papers) and Memory and Neural Mechanisms (22 papers). Mayank Mehta is often cited by papers focused on Neuroscience and Neuropharmacology Research (26 papers), Neural dynamics and brain function (22 papers) and Memory and Neural Mechanisms (22 papers). Mayank Mehta collaborates with scholars based in United States, Germany and India. Mayank Mehta's co-authors include Bert Sakmann, Thomas T. G. Hahn, Matthew Wilson, Bruce L. McNaughton, Carol A. Barnes, Michael C. Quirk, Omar J. Ahmed, Carl C.H. Petersen, Amiram Grinvald and Zahra M. Aghajan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mayank Mehta

40 papers receiving 2.9k citations

Hit Papers

Interaction of sensory responses with spontaneous depolar... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Mehta United States 25 2.6k 2.2k 240 207 181 41 2.9k
James F.A. Poulet Germany 30 2.4k 0.9× 2.2k 1.0× 232 1.0× 227 1.1× 126 0.7× 47 3.6k
Bassam V. Atallah United States 11 2.0k 0.8× 1.8k 0.9× 189 0.8× 130 0.6× 149 0.8× 13 2.6k
Dmitriy Aronov United States 22 2.2k 0.8× 1.7k 0.8× 270 1.1× 167 0.8× 105 0.6× 27 3.1k
Albert K. Lee United States 20 2.2k 0.9× 1.9k 0.9× 135 0.6× 106 0.5× 141 0.8× 33 2.6k
Cornelius Schwarz Germany 30 2.1k 0.8× 1.9k 0.9× 206 0.9× 215 1.0× 416 2.3× 77 2.8k
Eva Pastalkova United States 15 2.6k 1.0× 2.3k 1.1× 125 0.5× 110 0.5× 243 1.3× 22 3.3k
Randy M. Bruno United States 31 3.7k 1.4× 3.4k 1.6× 345 1.4× 192 0.9× 207 1.1× 49 4.9k
Kechen Zhang United States 19 1.8k 0.7× 1.0k 0.5× 159 0.7× 104 0.5× 148 0.8× 45 2.3k
Nicholas A. Steinmetz United States 28 3.5k 1.3× 1.8k 0.8× 282 1.2× 229 1.1× 93 0.5× 47 4.0k
Ulf Knoblich United States 17 2.9k 1.1× 2.5k 1.2× 193 0.8× 176 0.9× 195 1.1× 21 3.9k

Countries citing papers authored by Mayank Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Mehta. A scholar is included among the top collaborators of Mayank Mehta 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 Mayank Mehta. Mayank Mehta 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.
Choudhary, Krishna, Sven Berberich, Thomas T. G. Hahn, James M. McFarland, & Mayank Mehta. (2024). Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity. Nature Communications. 15(1). 3542–3542.
2.
Mehta, Mayank, et al.. (2021). Enhanced hippocampal theta rhythmicity and emergence of eta oscillation in virtual reality. Nature Neuroscience. 24(8). 1065–1070. 24 indexed citations
3.
Moore, Jason J., et al.. (2021). Linking hippocampal multiplexed tuning, Hebbian plasticity and navigation. Nature. 599(7885). 442–448. 39 indexed citations
4.
Moore, Jason J., Pascal Ravassard, David Ho, et al.. (2017). Dynamics of cortical dendritic membrane potential and spikes in freely behaving rats. Science. 355(6331). 72 indexed citations
5.
Acharya, Lavanya, Zahra M. Aghajan, Cliff Vuong, Jason J. Moore, & Mayank Mehta. (2015). Causal Influence of Visual Cues on Hippocampal Directional Selectivity. Cell. 164(1-2). 197–207. 107 indexed citations
6.
Aghajan, Zahra M., Lavanya Acharya, Jason J. Moore, et al.. (2014). Impaired spatial selectivity and intact phase precession in two-dimensional virtual reality. Nature Neuroscience. 18(1). 121–128. 167 indexed citations
7.
Cushman, Jesse D., Daniel Aharoni, Pascal Ravassard, et al.. (2013). Multisensory Control of Multimodal Behavior: Do the Legs Know What the Tongue Is Doing?. PLoS ONE. 8(11). e80465–e80465. 35 indexed citations
8.
Mehta, Mayank, et al.. (2012). Nonlinear-dynamics theory of up-down transitions in neocortical neural networks. Physical Review E. 85(2). 21908–21908. 30 indexed citations
9.
Ahmed, Omar J. & Mayank Mehta. (2012). Running Speed Alters the Frequency of Hippocampal Gamma Oscillations. Journal of Neuroscience. 32(21). 7373–7383. 127 indexed citations
10.
Hahn, Thomas T. G., James M. McFarland, Sven Berberich, Bert Sakmann, & Mayank Mehta. (2012). Spontaneous persistent activity in entorhinal cortex modulates cortico-hippocampal interaction in vivo. Nature Neuroscience. 15(11). 1531–1538. 96 indexed citations
11.
Resnik, Ernesto, J. M. McFarland, Rolf Sprengel, Bert Sakmann, & Mayank Mehta. (2012). The Effects of GluA1 Deletion on the Hippocampal Population Code for Position. Journal of Neuroscience. 32(26). 8952–8968. 29 indexed citations
12.
Chen, Zhiping, et al.. (2011). Speed Controls the Amplitude and Timing of the Hippocampal Gamma Rhythm. PLoS ONE. 6(6). e21408–e21408. 80 indexed citations
13.
McFarland, James M., Thomas T. G. Hahn, & Mayank Mehta. (2011). Explicit-Duration Hidden Markov Model Inference of UP-DOWN States from Continuous Signals. PLoS ONE. 6(6). e21606–e21606. 16 indexed citations
14.
Ahmed, Omar J. & Mayank Mehta. (2009). The hippocampal rate code: anatomy, physiology and theory. Trends in Neurosciences. 32(6). 329–338. 93 indexed citations
15.
Hoffman, Kari L., Francesco P. Battaglia, Kenneth D. Harris, et al.. (2007). The Upshot of Up States in the Neocortex: From Slow Oscillations to Memory Formation. Journal of Neuroscience. 27(44). 11838–11841. 48 indexed citations
16.
Mehta, Mayank. (2005). Role of Rhythms in Facilitating Short-Term Memory. Neuron. 45(1). 7–9. 11 indexed citations
17.
Petersen, Carl C.H., Thomas T. G. Hahn, Mayank Mehta, Amiram Grinvald, & Bert Sakmann. (2003). Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex. Proceedings of the National Academy of Sciences. 100(23). 13638–13643. 531 indexed citations breakdown →
18.
Mehta, Mayank. (2003). Cooperative LTP can map memory sequences on dendritic branches. Trends in Neurosciences. 27(2). 69–72. 48 indexed citations
19.
Mehta, Mayank, Michael C. Quirk, & Matthew Wilson. (2000). Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields. Neuron. 25(3). 707–715. 355 indexed citations
20.
Mehta, Mayank & Hagai Bergman. (1995). Loss of frequencies in autocorrelations and a procedure to recover them. Journal of Neuroscience Methods. 62(1-2). 65–71. 8 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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