Matthew Brown
- Cellular and Molecular Neuroscience top 10%
- Oceanography top 5%
- Ecology top 10%
- Molecular Biology
- Cell Biology top 10%
- Co-authors
- Giovanna FerrariTom JacobsChristine M HallClinton MonfriesLouis LimMabel TeoDouglas DempsterKeiron P. P. Fraser
- Topics
- Circadian rhythm and melatonin (5 papers)Neurobiology and Insect Physiology Research (5 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Matthew Brown
23 papers receiving 667 citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 269
- Oceanography 156
- Ecology 148
- Molecular Biology 142
- Cell Biology 121
Countries citing papers authored by Matthew Brown
This map shows the geographic impact of Matthew Brown'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 Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brown more than expected).
Fields of papers citing papers by Matthew Brown
This network shows the impact of papers produced by Matthew Brown. 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 Brown. The network helps show where Matthew Brown may publish in the future.
Co-authorship network of co-authors of Matthew Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Brown. A scholar is included among the top collaborators of Matthew Brown 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 Brown. Matthew Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 21 | |
| 6 | 72 | |
| 7 | 52 | |
| 8 | 1 | |
| 9 | 96 | |
| 10 | Semaphorin 6A (Sema6A) elaborates direction-selective (DS) circuits by an unexpected mechanism | 2 |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | NCDS Cognitive Assessments at Age 50: Initial Results | 12 |
| 15 | 24 | |
| 16 | 30 | |
| 17 | Parsing context-free grammars for music: A computational model of Schenkerian analysis | 8 |
| 18 | 155 | |
| 19 | 46 | |
| 20 | 26 |
About Matthew Brown
Matthew Brown is a scholar working on Endocrine and Autonomic Systems, Music and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 704 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (269 citations), Endocrine and Autonomic Systems (91 citations) and Oceanography (156 citations). Matthew Brown has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Giovanna Ferrari, Tom Jacobs, Christine M Hall, Clinton Monfries, Louis Lim, Mabel Teo, Douglas Dempster, Keiron P. P. Fraser, David K. A. Barnes and Britta J. Eickholt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.