Todd Charlton Sacktor
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 64
- Neurobiology and Insect Physiology Research 6
- Cognitive Neuroscience top 0.5%
- Memory and Neural Mechanisms 21
- Developmental Neuroscience top 1%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Behavioral Neuroscience top 2%
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- Receptor Mechanisms and Signaling 22
- Retinal Development and Disorders 17
- Protein Kinase Regulation and GTPase Signaling 14
- Ion channel regulation and function 12
- Co-authors
- Peter A. SerranoAndré A. FentonJohn F. CraryYadin DudaiSabina HrabětováYudong YaoEva PastalkovaNancy Blace
- Journals
- Science (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Todd Charlton Sacktor
82 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 4.6k
- Cognitive Neuroscience 2.4k
- Developmental Neuroscience 379
- Neurology 707
- Behavioral Neuroscience 291
Countries citing papers authored by Todd Charlton Sacktor
This map shows the geographic impact of Todd Charlton Sacktor'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 Todd Charlton Sacktor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Charlton Sacktor more than expected).
Fields of papers citing papers by Todd Charlton Sacktor
This network shows the impact of papers produced by Todd Charlton Sacktor. 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 Todd Charlton Sacktor. The network helps show where Todd Charlton Sacktor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Todd Charlton Sacktor, 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 | 2025 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 5 | |
| 6 | 2018 | 24 | |
| 7 | 2017 | 13 | |
| 8 | 2012 | 25 | |
| 9 | 2011 | 65 | |
| 10 | 2010 | 50 | |
| 11 | 2006 | 109 | |
| 12 | 2006 | 45 | |
| 13 | 2005 | 22 | |
| 14 | 2004 | 89 | |
| 15 | 2003 | 215 | |
| 16 | 2001 | 26 | |
| 17 | 1996 | 10 | |
| 18 | 1994 | 37 | |
| 19 | 1991 | 13 | |
| 20 | 1990 | 1 |
About Todd Charlton Sacktor
Todd Charlton Sacktor is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 83 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (64 papers), Receptor Mechanisms and Signaling (22 papers), Memory and Neural Mechanisms (21 papers), Retinal Development and Disorders (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Ion channel regulation and function (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.6k citations), Cognitive Neuroscience (2.4k citations) and Developmental Neuroscience (379 citations). Todd Charlton Sacktor has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Peter A. Serrano, André A. Fenton, John F. Crary, Yadin Dudai, Sabina Hrabětová, Yudong Yao, Eva Pastalkova, Nancy Blace, Meghna U. Naik and Matthew T. Kelly. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.