Stan L. Pashkovski

1.7k total citations · 1 hit paper
7 papers, 946 citations indexed

About

Stan L. Pashkovski is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Stan L. Pashkovski has authored 7 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Sensory Systems and 4 papers in Nutrition and Dietetics. Recurrent topics in Stan L. Pashkovski's work include Olfactory and Sensory Function Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Biochemical Analysis and Sensing Techniques (4 papers). Stan L. Pashkovski is often cited by papers focused on Olfactory and Sensory Function Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Biochemical Analysis and Sensing Techniques (4 papers). Stan L. Pashkovski collaborates with scholars based in United States, Switzerland and Italy. Stan L. Pashkovski's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Stan L. Pashkovski

7 papers receiving 930 citations

Hit Papers

Mapping Sub-Second Structure in Mouse Behavior 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mapping Sub-Second Structure in Mouse Behavior
    2015 416 citations Alexander B. Wiltschko, Matthew J. Johnson et al. Neuron profile →

Peers

Stan L. Pashkovski
Stephen D. Shea United States
Heather M. Schellinck Canada
David M. Ferrero United States
Christelle Rochefort France
Giuliano Iurilli Italy
Vikrant Kapoor United States
Tali Kimchi Israel
Katsushige Sato Japan
Eike Budinger Germany
David M. Coppola United States
Stephen D. Shea United States
Stan L. Pashkovski
Citations per year, relative to Stan L. Pashkovski Stan L. Pashkovski (= 1×) peers Stephen D. Shea

Countries citing papers authored by Stan L. Pashkovski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stan L. Pashkovski

This figure shows the co-authorship network connecting the top 25 collaborators of Stan L. Pashkovski. A scholar is included among the top collaborators of Stan L. Pashkovski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stan L. Pashkovski. Stan L. Pashkovski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tsukahara, Tatsuya, David H. Brann, Stan L. Pashkovski, et al.. (2021). A transcriptional rheostat couples past activity to future sensory responses. Cell. 184(26). 6326–6343.e32. 42 indexed citations
2.
Rudolph, Stephanie, Stan L. Pashkovski, Tomás Osorno, et al.. (2020). Cerebellum-Specific Deletion of the GABAA Receptor δ Subunit Leads to Sex-Specific Disruption of Behavior. Cell Reports. 33(5). 108338–108338. 42 indexed citations
3.
Pashkovski, Stan L., Giuliano Iurilli, David H. Brann, et al.. (2020). Structure and flexibility in cortical representations of odour space. Nature. 583(7815). 253–258. 91 indexed citations
4.
Wu, Anqi, Stan L. Pashkovski, Sandeep Robert Datta, & Jonathan W. Pillow. (2018). Learning a latent manifold of odor representations from neural responses in piriform cortex. Neural Information Processing Systems. 31. 5378–5388. 7 indexed citations
5.
Greer, Paul L., Daniel M. Bear, Jean‐Marc Lassance, et al.. (2016). A Family of non-GPCR Chemosensors Defines an Alternative Logic for Mammalian Olfaction. Cell. 165(7). 1734–1748. 94 indexed citations
6.
Wiltschko, Alexander B., Matthew J. Johnson, Giuliano Iurilli, et al.. (2015). Mapping Sub-Second Structure in Mouse Behavior. Neuron. 88(6). 1121–1135. 416 indexed citations breakdown →
7.
Ferrero, David M., Jamie K. Lemon, Stan L. Pashkovski, et al.. (2011). Detection and avoidance of a carnivore odor by prey. Proceedings of the National Academy of Sciences. 108(27). 11235–11240. 254 indexed citations

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.

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