Matthew Lovett-Barron
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 1%
- Molecular Biology
- Neurology top 5%
- Developmental Neuroscience top 2%
- Co-authors
- Attila LosonczyPatrick KaifoshGergely F. TuriNathan DanielsonBoris V. ZemelmanThomas R. ReardonKarl DeisserothMazen A. Kheirbek
- Topics
- Neural dynamics and brain function (11 papers)Neuroscience and Neuropharmacology Research (10 papers)Memory and Neural Mechanisms (9 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Matthew Lovett-Barron
24 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 1.4k
- Cognitive Neuroscience 1.3k
- Molecular Biology 402
- Neurology 250
- Developmental Neuroscience 234
Countries citing papers authored by Matthew Lovett-Barron
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | The emergence and influence of internal statesbreakdown → | 96 |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 40 | |
| 9 | 55 | |
| 10 | 12 | |
| 11 | 158 | |
| 12 | 112 | |
| 13 | 16 | |
| 14 | 254 | |
| 15 | 162 | |
| 16 | 357 | |
| 17 | 237 | |
| 18 | 129 | |
| 19 | 40 | |
| 20 | 314 |
About Matthew Lovett-Barron
Matthew Lovett-Barron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Memory and Neural Mechanisms (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (1.3k citations) and Developmental Neuroscience (234 citations). Matthew Lovett-Barron has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Attila Losonczy, Patrick Kaifosh, Gergely F. Turi, Nathan Danielson, Boris V. Zemelman, Thomas R. Reardon, Karl Deisseroth, Mazen A. Kheirbek, René Hen and Jeffrey D. Zaremba. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.