Jason D. Shepherd
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 13
- Biological Psychiatry top 0.5%
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Developmental Neuroscience top 1%
- Physiology top 0.5%
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- Genetics and Neurodevelopmental Disorders 7
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- RNA regulation and disease 5
- RNA Research and Splicing 5
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- Neural dynamics and brain function 4
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- Cellular transport and secretion 4
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- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Richard L. HuganirYama AkbariAntonella CaccamoM. Paul MurphySalvatore OddoTodd E. GoldeRakez KayedRaju Metherate
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jason D. Shepherd
33 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 3.6k
- Biological Psychiatry 475
- Neurology 1.3k
- Developmental Neuroscience 519
- Physiology 3.0k
Countries citing papers authored by Jason D. Shepherd
This map shows the geographic impact of Jason D. Shepherd'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 Jason D. Shepherd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason D. Shepherd more than expected).
Fields of papers citing papers by Jason D. Shepherd
This network shows the impact of papers produced by Jason D. Shepherd. 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 Jason D. Shepherd. The network helps show where Jason D. Shepherd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason D. Shepherd, 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 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 87 | |
| 7 | 2019 | 50 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 66 | |
| 10 | 2017 | 39 | |
| 11 | 2017 | 25 | |
| 12 | 2017 | 20 | |
| 13 | 2017 | 45 | |
| 14 | 2011 | 168 | |
| 15 | 2011 | 383 | |
| 16 | 2010 | 9 | |
| 17 | 2010 | 53 | |
| 18 | Arc/Arg3.1 Mediates Homeostatic Synaptic Scaling of AMPA Receptorsbreakdown → | 2006 | 613 |
| 19 | Arc/Arg3.1 Interacts with the Endocytic Machinery to Regulate AMPA Receptor Traffickingbreakdown → | 2006 | 612 |
| 20 | Triple-Transgenic Model of Alzheimer's Disease with Plaques and Tanglesbreakdown → | 2003 | 3277 |
About Jason D. Shepherd
Jason D. Shepherd is a scholar working on Acoustics and Ultrasonics, Cellular and Molecular Neuroscience and Sensory Systems, having authored 35 papers that have together received 7.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Genetics and Neurodevelopmental Disorders (7 papers), RNA regulation and disease (5 papers), RNA Research and Splicing (5 papers), Neural dynamics and brain function (4 papers), Cellular transport and secretion (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Biological Psychiatry (475 citations) and Neurology (1.3k citations). Jason D. Shepherd has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard L. Huganir, Yama Akbari, Antonella Caccamo, M. Paul Murphy, Salvatore Oddo, Todd E. Golde, Rakez Kayed, Raju Metherate, Mark P. Mattson and Frank M. LaFerla. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.