Stan L. Pashkovski
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies 5
- Hearing, Cochlea, Tinnitus, Genetics 1
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- Neurobiology and Insect Physiology Research 5
- Neuroscience and Neuropharmacology Research 1
- Aging top 10%
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 1
- Behavioral Neuroscience top 10%
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- Biochemical Analysis and Sensing Techniques 4
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- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Zebrafish Biomedical Research Applications 1
- Co-authors
- Sandeep Robert DattaGiuliano IurilliMatthew J. JohnsonRyan P. AdamsAlexander B. WiltschkoJesse KatonRalph E. PetersonVictoria E. Abraira
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Stan L. Pashkovski
7 papers receiving 930 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Sensory Systems 334
- Cellular and Molecular Neuroscience 404
- Aging 26
- Cognitive Neuroscience 248
- Behavioral Neuroscience 43
Countries citing papers authored by Stan L. Pashkovski
This map shows the geographic impact of Stan L. Pashkovski'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 Stan L. Pashkovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan L. Pashkovski more than expected).
Fields of papers citing papers by Stan L. Pashkovski
This network shows the impact of papers produced by Stan L. Pashkovski. 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 Stan L. Pashkovski. The network helps show where Stan L. Pashkovski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stan L. Pashkovski, 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 | 2021 | 42 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 91 | |
| 4 | Learning a latent manifold of odor representations from neural responses in piriform cortex | 2018 | 7 |
| 5 | 2016 | 94 | |
| 6 | Mapping Sub-Second Structure in Mouse Behaviorbreakdown → | 2015 | 416 |
| 7 | 2011 | 254 |
About Stan L. Pashkovski
Stan L. Pashkovski is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 7 papers that have together received 946 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Zebrafish Biomedical Research Applications (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper), Neural dynamics and brain function (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Sensory Systems (334 citations), Cellular and Molecular Neuroscience (404 citations) and Aging (26 citations). Stan L. Pashkovski has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Sandeep Robert Datta, Giuliano Iurilli, Matthew J. Johnson, Ryan P. Adams, Alexander B. Wiltschko, Jesse Katon, Ralph E. Peterson, Victoria E. Abraira, Wayne J. Korzan and Marc Spehr. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.