Matthew Lovett-Barron

3.4k total citations · 1 hit paper
26 papers, 2.1k citations indexed

About

Matthew Lovett-Barron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Matthew Lovett-Barron has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Cell Biology. Recurrent topics in Matthew Lovett-Barron's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Memory and Neural Mechanisms (9 papers). Matthew Lovett-Barron is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Memory and Neural Mechanisms (9 papers). Matthew Lovett-Barron collaborates with scholars based in United States, France and Germany. Matthew Lovett-Barron's co-authors include Attila Losonczy, Patrick Kaifosh, Gergely F. Turi, Nathan Danielson, Boris V. Zemelman, Thomas R. Reardon, Karl Deisseroth, René Hen, Mazen A. Kheirbek and Jeffrey D. Zaremba and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew Lovett-Barron

24 papers receiving 2.1k citations

Hit Papers

The emergence and influence of internal states 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The emergence and influence of internal states
    2022 96 citations Steven W. Flavell, Nadine Gogolla et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Lovett-Barron United States 16 1.4k 1.3k 402 250 234 26 2.1k
Adi Mizrahi Israel 28 1.3k 0.9× 1.0k 0.8× 356 0.9× 358 1.4× 438 1.9× 62 2.5k
Brian Zingg United States 17 1.4k 1.0× 1.6k 1.3× 769 1.9× 290 1.2× 90 0.4× 18 2.8k
Bryan M. Hooks United States 20 1.7k 1.2× 1.5k 1.2× 703 1.7× 379 1.5× 191 0.8× 28 2.8k
Ruth Benavides‐Piccione Spain 25 1.4k 1.0× 1.2k 1.0× 621 1.5× 210 0.8× 212 0.9× 67 2.5k
Alison L. Barth United States 30 2.6k 1.9× 1.9k 1.5× 1.1k 2.8× 284 1.1× 175 0.7× 70 3.7k
Gergely F. Turi United States 22 1.7k 1.2× 1.3k 1.0× 590 1.5× 284 1.1× 200 0.9× 35 2.5k
Nathalie L. Rochefort Germany 24 1.6k 1.2× 1.5k 1.2× 510 1.3× 220 0.9× 138 0.6× 33 2.4k
Andreas T. Schaefer United Kingdom 29 2.3k 1.7× 1.2k 1.0× 333 0.8× 281 1.1× 99 0.4× 71 3.3k
Hwa‐Lin Hsiang Canada 9 1.1k 0.8× 1.1k 0.9× 340 0.8× 261 1.0× 382 1.6× 10 1.8k
Clay Lacefield United States 17 1.0k 0.7× 877 0.7× 436 1.1× 127 0.5× 211 0.9× 29 2.0k

Countries citing papers authored by Matthew Lovett-Barron

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lovett-Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Lovett-Barron. 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 Matthew Lovett-Barron. The network helps show where Matthew Lovett-Barron may publish in the future.

Co-authorship network of co-authors of Matthew Lovett-Barron

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lovett-Barron. A scholar is included among the top collaborators of Matthew Lovett-Barron 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 Matthew Lovett-Barron. Matthew Lovett-Barron 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.
Lovett-Barron, Matthew, et al.. (2025). Predator avoidance: Threat learning in week-old zebrafish. Current Biology. 35(1). R19–R21. 2 indexed citations
2.
Lovett-Barron, Matthew, et al.. (2024). Understanding collective behavior through neurobiology. Current Opinion in Neurobiology. 86. 102866–102866. 5 indexed citations
3.
Zada, David, et al.. (2024). Development of neural circuits for social motion perception in schooling fish. Current Biology. 34(15). 3380–3391.e5. 15 indexed citations
4.
Zada, David, et al.. (2023). A medley of gene expression adds new depth to zebrafish brain maps. Science Advances. 9(8). eadg8660–eadg8660. 1 indexed citations
5.
Flavell, Steven W., Nadine Gogolla, Matthew Lovett-Barron, & Moriel Zelikowsky. (2022). The emergence and influence of internal states. Neuron. 110(16). 2545–2570. 96 indexed citations breakdown →
6.
Lin, Ning, Yang Geng, Matthew Lovett-Barron, et al.. (2022). A Bright, Nontoxic, and Non-aggregating red Fluorescent Protein for Long-Term Labeling of Fine Structures in Neurons. Frontiers in Cell and Developmental Biology. 10. 893468–893468. 12 indexed citations
7.
Farrell, Jordan S., Matthew Lovett-Barron, Peter Klein, et al.. (2021). Supramammillary regulation of locomotion and hippocampal activity. Science. 374(6574). 1492–1496. 40 indexed citations
8.
Lovett-Barron, Matthew, Ivan Raikov, Fraser T. Sparks, et al.. (2021). Maximally selective single-cell target for circuit control in epilepsy models. Neuron. 109(16). 2556–2572.e6. 37 indexed citations
9.
Lovett-Barron, Matthew, Ritchie Chen, Aaron S. Andalman, et al.. (2020). Multiple convergent hypothalamus–brainstem circuits drive defensive behavior. Nature Neuroscience. 23(8). 959–967. 55 indexed citations
10.
Lovett-Barron, Matthew. (2020). Learning-dependent neuronal activity across the larval zebrafish brain. Current Opinion in Neurobiology. 67. 42–49. 12 indexed citations
11.
Andalman, Aaron S., Matthew Lovett-Barron, Michael Broxton, et al.. (2019). Neuronal Dynamics Regulating Brain and Behavioral State Transitions. Cell. 177(4). 970–985.e20. 158 indexed citations
12.
Lovett-Barron, Matthew, Aaron S. Andalman, William E. Allen, et al.. (2017). Ancestral Circuits for the Coordinated Modulation of Brain State. Cell. 171(6). 1411–1423.e17. 112 indexed citations
13.
Madelaine, Romain, Matthew Lovett-Barron, Aaron S. Andalman, et al.. (2017). The hypothalamic NPVF circuit modulates ventral raphe activity during nociception. Scientific Reports. 7(1). 41528–41528. 16 indexed citations
14.
Danielson, Nathan, Patrick Kaifosh, Jeffrey D. Zaremba, et al.. (2016). Distinct Contribution of Adult-Born Hippocampal Granule Cells to Context Encoding. Neuron. 90(1). 101–112. 254 indexed citations
15.
Tomer, Raju, Matthew Lovett-Barron, Isaac Kauvar, et al.. (2015). SPED Light Sheet Microscopy: Fast Mapping of Biological System Structure and Function. Cell. 163(7). 1796–1806. 162 indexed citations
16.
Lovett-Barron, Matthew, Patrick Kaifosh, Mazen A. Kheirbek, et al.. (2014). Dendritic Inhibition in the Hippocampus Supports Fear Learning. Science. 343(6173). 857–863. 357 indexed citations
17.
Lee, Sang-Hun, Ivan Marchionni, Marianne Bezaire, et al.. (2014). Parvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells. Neuron. 82(5). 1129–1144. 237 indexed citations
18.
Kaifosh, Patrick, Matthew Lovett-Barron, Gergely F. Turi, Thomas R. Reardon, & Attila Losonczy. (2013). Septo-hippocampal GABAergic signaling across multiple modalities in awake mice. Nature Neuroscience. 16(9). 1182–1184. 129 indexed citations
19.
Lovett-Barron, Matthew & Attila Losonczy. (2013). Behavioral consequences of GABAergic neuronal diversity. Current Opinion in Neurobiology. 26. 27–33. 40 indexed citations
20.
Lovett-Barron, Matthew, Gergely F. Turi, Patrick Kaifosh, et al.. (2012). Regulation of neuronal input transformations by tunable dendritic inhibition. Nature Neuroscience. 15(3). 423–430. 314 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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