Matthew A. Xu‐Friedman
- Sensory Systems top 0.5%
- Hearing, Cochlea, Tinnitus, Genetics 27
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- Neuroscience and Neuropharmacology Research 22
- Photoreceptor and optogenetics research 4
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 27
- Hearing Loss and Rehabilitation 8
- Developmental Biology top 5%
- Neurology top 5%
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- Advanced Memory and Neural Computing 5
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- Ion channel regulation and function 4
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- Biochemical Analysis and Sensing Techniques 3
- Co-authors
- Wade G. RegehrHua YangKristen M. HarrisSoham ChandaWei SunCarl D. HopkinsAndreas NeefMicheal L. Dent
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Neuroscience (17 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Matthew A. Xu‐Friedman
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 82
- Sensory Systems 592
- Cellular and Molecular Neuroscience 972
- Cognitive Neuroscience 834
- Developmental Biology 52
- Neurology 164
Countries citing papers authored by Matthew A. Xu‐Friedman
This map shows the geographic impact of Matthew A. Xu‐Friedman'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 A. Xu‐Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Xu‐Friedman more than expected).
Fields of papers citing papers by Matthew A. Xu‐Friedman
This network shows the impact of papers produced by Matthew A. Xu‐Friedman. 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 A. Xu‐Friedman. The network helps show where Matthew A. Xu‐Friedman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew A. Xu‐Friedman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 17 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2016 | 20 | |
| 7 | 2016 | 27 | |
| 8 | 2015 | 41 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 11 | |
| 11 | 2012 | 35 | |
| 12 | 2011 | 15 | |
| 13 | 2010 | 29 | |
| 14 | 2010 | 22 | |
| 15 | 2009 | 63 | |
| 16 | 2009 | 88 | |
| 17 | 2008 | 78 | |
| 18 | 2005 | 38 | |
| 19 | 2000 | 1 | |
| 20 | 1999 | 98 |
About Matthew A. Xu‐Friedman
Matthew A. Xu‐Friedman is a scholar working on Sensory Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (27 papers), Neural dynamics and brain function (27 papers), Neuroscience and Neuropharmacology Research (22 papers), Hearing Loss and Rehabilitation (8 papers), Advanced Memory and Neural Computing (5 papers), Photoreceptor and optogenetics research (4 papers), Ion channel regulation and function (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Sensory Systems (592 citations), Cellular and Molecular Neuroscience (972 citations) and Cognitive Neuroscience (834 citations). Matthew A. Xu‐Friedman has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Wade G. Regehr, Hua Yang, Kristen M. Harris, Soham Chanda, Wei Sun, Carl D. Hopkins, Andreas Neef, Micheal L. Dent, Richard Salvi and Conny Kopp‐Scheinpflug. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.