Ashley Juavinett

2.6k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Ashley Juavinett is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashley Juavinett has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 7 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashley Juavinett's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Ashley Juavinett is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Ashley Juavinett collaborates with scholars based in United States, China and Japan. Ashley Juavinett's co-authors include Anne K. Churchland, Simon Musall, Steven Gluf, Matthew T. Kaufman, Edward M. Callaway, Euiseok J. Kim, Matthew W. Jacobs, Espoir M. Kyubwa, Jeffrey C. Erlich and Nuo Li and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ashley Juavinett

20 papers receiving 1.3k citations

Hit Papers

Single-trial neural dynamics are dominated by richly vari... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashley Juavinett United States 12 1.0k 680 194 80 80 21 1.3k
Charu Bai Reddy United Kingdom 7 949 0.9× 564 0.8× 131 0.7× 93 1.2× 44 0.6× 7 1.1k
Simon Musall Germany 14 877 0.9× 567 0.8× 111 0.6× 74 0.9× 77 1.0× 27 1.2k
Ning-long Xu China 14 1.1k 1.1× 986 1.4× 180 0.9× 113 1.4× 95 1.2× 22 1.4k
Lucas Pinto United States 13 1.1k 1.1× 773 1.1× 220 1.1× 97 1.2× 60 0.8× 17 1.4k
Jasper Poort United Kingdom 14 1.6k 1.5× 740 1.1× 165 0.9× 126 1.6× 58 0.7× 18 1.7k
Lacey Kitch United States 7 991 1.0× 943 1.4× 138 0.7× 72 0.9× 132 1.6× 9 1.3k
Jonathan J. Nassi United States 18 1.3k 1.3× 731 1.1× 334 1.7× 77 1.0× 80 1.0× 25 1.7k
Zengcai V. Guo United States 15 1.6k 1.5× 1.3k 1.9× 195 1.0× 120 1.5× 108 1.4× 22 2.2k
Michael J. Goard United States 14 1.2k 1.2× 949 1.4× 324 1.7× 135 1.7× 71 0.9× 25 1.6k
Emmanouil Froudarakis United States 14 882 0.9× 603 0.9× 174 0.9× 142 1.8× 46 0.6× 22 1.2k

Countries citing papers authored by Ashley Juavinett

Since Specialization
Citations

This map shows the geographic impact of Ashley Juavinett'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 Ashley Juavinett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley Juavinett more than expected).

Fields of papers citing papers by Ashley Juavinett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashley Juavinett. 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 Ashley Juavinett. The network helps show where Ashley Juavinett may publish in the future.

Co-authorship network of co-authors of Ashley Juavinett

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Juavinett. A scholar is included among the top collaborators of Ashley Juavinett 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 Ashley Juavinett. Ashley Juavinett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lo, Stanley M., et al.. (2024). Mentorship for Transfer Student Success in STEM Research: Mentor Approaches and Reflections. CBE—Life Sciences Education. 23(2). ar27–ar27. 3 indexed citations
3.
Juavinett, Ashley, et al.. (2024). When Coding Meets Biology: The Tension Between Access and Authenticity in a Contextualized Coding Class. 1491–1497. 2 indexed citations
4.
Juavinett, Ashley, et al.. (2024). Student Motivations and Expectations for an Introductory Programming Course in Biology. 1498–1504. 2 indexed citations
5.
Juavinett, Ashley. (2022). The next generation of neuroscientists needs to learn how to code, and we need new ways to teach them. Neuron. 110(4). 576–578. 11 indexed citations
6.
Juavinett, Ashley, et al.. (2022). The Mismatch Between Neuroscience Graduate Training and Professional Skill Sets. PubMed. 21(1). A35–A46. 2 indexed citations
7.
Juavinett, Ashley, et al.. (2022). A case study of a novel summer bridge program to prepare transfer students for research in biological sciences. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
8.
Juavinett, Ashley, et al.. (2020). Implanting and Recycling Neuropixels Probes for Recordings in Freely Moving Mice. BIO-PROTOCOL. 10(3). e3503–e3503. 1 indexed citations
9.
Juavinett, Ashley. (2020). Learning How to Code While Analyzing an Open Access Electrophysiology Dataset.. PubMed. 19(1). A94–A104. 8 indexed citations
10.
Kim, Euiseok J., Zhuzhu Zhang, Ling Huang, et al.. (2020). Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population. Neuron. 107(2). 274–282.e6. 60 indexed citations
11.
Musall, Simon, Matthew T. Kaufman, Ashley Juavinett, Steven Gluf, & Anne K. Churchland. (2019). Single-trial neural dynamics are dominated by richly varied movements. Nature Neuroscience. 22(10). 1677–1686. 557 indexed citations breakdown →
12.
Juavinett, Ashley, et al.. (2019). Chronically implanted Neuropixels probes enable high-yield recordings in freely moving mice. eLife. 8. 94 indexed citations
13.
Juavinett, Ashley, et al.. (2019). Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice. Protocol Exchange. 2 indexed citations
14.
Baker, Arielle L., Brian Kalmbach, Mieko Morishima, et al.. (2018). Specialized Subpopulations of Deep-Layer Pyramidal Neurons in the Neocortex: Bridging Cellular Properties to Functional Consequences. Journal of Neuroscience. 38(24). 5441–5455. 104 indexed citations
15.
Juavinett, Ashley, Jeffrey C. Erlich, & Anne K. Churchland. (2017). Decision-making behaviors: weighing ethology, complexity, and sensorimotor compatibility. Current Opinion in Neurobiology. 49. 42–50. 48 indexed citations
16.
Juavinett, Ashley, Ian Nauhaus, Marina Garrett, Jun Zhuang, & Edward M. Callaway. (2016). Automated identification of mouse visual areas with intrinsic signal imaging. Nature Protocols. 12(1). 32–43. 59 indexed citations
17.
Kim, Euiseok J., Ashley Juavinett, Espoir M. Kyubwa, Matthew W. Jacobs, & Edward M. Callaway. (2015). Three Types of Cortical Layer 5 Neurons That Differ in Brain-wide Connectivity and Function. Neuron. 88(6). 1253–1267. 200 indexed citations
18.
Juavinett, Ashley & Edward M. Callaway. (2015). Pattern and Component Motion Responses in Mouse Visual Cortical Areas. Current Biology. 25(13). 1759–1764. 66 indexed citations
19.
Stewart, Jennifer L., Ashley Juavinett, April C. May, Paul W. Davenport, & Martin P. Paulus. (2014). Do you feel alright? Attenuated neural processing of aversive interoceptive stimuli in current stimulant users. Psychophysiology. 52(2). 249–262. 18 indexed citations
20.
Pineda, Jaime A., et al.. (2012). Self-regulation of brain oscillations as a treatment for aberrant brain connections in children with autism. Medical Hypotheses. 79(6). 790–798. 31 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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