Larry Abbott
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Sleep and Wakefulness Research
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 3
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Eric R. Kandel (1 shared paper)Liat Levita (1 shared paper)Haim Sompolinsky (1 shared paper)Kanaka Rajan (1 shared paper)Clifford G. Kentros (1 shared paper)Isabel A. Muzzio (1 shared paper)Joseph D. Monaco (1 shared paper)Matthew Stead (1 shared paper)
- Journals
- Neuron (1 paper)Cell (1 paper)PLoS Biology (1 paper)Current Opinion in Neurobiology (1 paper)The American Indian Quarterly (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Larry Abbott
11 papers receiving 290 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 221
- Cellular and Molecular Neuroscience 181
- Sensory Systems 19
- Neurology 31
- Developmental Neuroscience 9
Countries citing papers authored by Larry Abbott
This map shows the geographic impact of Larry Abbott'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 Larry Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Abbott more than expected).
Fields of papers citing papers by Larry Abbott
This network shows the impact of papers produced by Larry Abbott. 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 Larry Abbott. The network helps show where Larry Abbott may publish in the future.
Co-authors
The 25 scholars most cited alongside Larry Abbott, 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 | 2009 | 115 | |
| 2 | 2020 | 103 | |
| 3 | 2011 | 43 | |
| 4 | 1991 | 11 | |
| 5 | 1994 | 11 | |
| 6 | 2020 | 5 | |
| 7 | 2009 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2007 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 1 |
About Larry Abbott
Larry Abbott is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Electrical and Electronic Engineering and Molecular Biology, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Olfactory and Sensory Function Studies (3 papers), Memory and Neural Mechanisms (3 papers), Neuroscience and Neural Engineering (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Memory and Neural Computing (2 papers), Botany, Ecology, and Taxonomy Studies (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (221 citations), Cellular and Molecular Neuroscience (181 citations), Sensory Systems (19 citations), Neurology (31 citations) and Developmental Neuroscience (9 citations). Larry Abbott has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Eric R. Kandel, Liat Levita, Haim Sompolinsky, Kanaka Rajan, Clifford G. Kentros, Isabel A. Muzzio, Joseph D. Monaco, Matthew Stead, Jayant Kulkarni and Idan Segev. Their work appears in journals such as Neuron, Cell, PLoS Biology, Current Opinion in Neurobiology and The American Indian Quarterly.
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.