Jason P. Weick

4.0k total citations · 1 hit paper
38 papers, 3.1k citations indexed

About

Jason P. Weick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jason P. Weick has authored 38 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Jason P. Weick's work include Pluripotent Stem Cells Research (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (8 papers). Jason P. Weick is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (8 papers). Jason P. Weick collaborates with scholars based in United States, Germany and Denmark. Jason P. Weick's co-authors include Su-Chun Zhang, Xiaoqing Zhang, Lixiang Ma, James A. Thomson, Junying Yu, Baoyang Hu, Yan Liu, Madisen Johnson, Robert Krencik and P. Mermelstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Jason P. Weick

37 papers receiving 3.1k citations

Hit Papers

Neural differentiation of human induced pluripotent stem ... 2010 2026 2015 2020 2010 250 500 750

Peers

Jason P. Weick
Jérôme Mertens United States
Sarah E. Newey United Kingdom
Diana Yu United States
Cédric Bardy Australia
Feng‐Quan Zhou United States
Sarah Parylak United States
Philippe Taupin Singapore
Steven T. Suhr United States
Jason P. Weick
Citations per year, relative to Jason P. Weick Jason P. Weick (= 1×) peers Wado Akamatsu

Countries citing papers authored by Jason P. Weick

Since Specialization
Citations

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

Fields of papers citing papers by Jason P. Weick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason P. Weick. 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 P. Weick. The network helps show where Jason P. Weick may publish in the future.

Co-authorship network of co-authors of Jason P. Weick

This figure shows the co-authorship network connecting the top 25 collaborators of Jason P. Weick. A scholar is included among the top collaborators of Jason P. Weick 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 Jason P. Weick. Jason P. Weick 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
1.
Zimmerman, Amber, et al.. (2024). Aberrant encoding of event saliency in the orbitofrontal cortex following loss of the psychiatric-associated circular RNA, circHomer1. Translational Psychiatry. 14(1). 480–480. 3 indexed citations
2.
Zimmerman, Amber, Eric Zhang, Joseph W. Kolis, et al.. (2023). Distribution and inflammatory cell response to intracranial delivery of radioluminescent Y2(SiO4)O:Ce particles. PLoS ONE. 18(1). e0276819–e0276819.
3.
Binder, Jessica, Oleg Ursu, Cristian Bologa, et al.. (2022). Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity. Communications Biology. 5(1). 125–125. 26 indexed citations
5.
Zhang, Eric, et al.. (2021). Sequential intraparticle Förster resonance energy transfer for multi-wavelength bioimaging. Optical Materials Express. 11(6). 1742–1742. 5 indexed citations
6.
Bartley, Aundrea F., Justin Barnes, Mark Bolding, et al.. (2021). Feasibility of cerium-doped LSO particles as a scintillator for x-ray induced optogenetics. Journal of Neural Engineering. 18(4). 46036–46036. 14 indexed citations
7.
Jiang, Shanya, Nicole Maphis, Jessica Binder, et al.. (2021). Proteopathic tau primes and activates interleukin-1β via myeloid-cell-specific MyD88- and NLRP3-ASC-inflammasome pathway. Cell Reports. 36(12). 109720–109720. 61 indexed citations
8.
Binder, Jessica, Praveen Chander, Vojo Deretić, Jason P. Weick, & Kiran Bhaskar. (2020). Optical induction of autophagy via Transcription factor EB (TFEB) reduces pathological tau in neurons. PLoS ONE. 15(3). e0230026–e0230026. 17 indexed citations
9.
Chander, Praveen, Matthew J. Kennedy, Bettina Winckler, & Jason P. Weick. (2019). Neuron-Specific Gene 2 (NSG2) Encodes an AMPA Receptor Interacting Protein That Modulates Excitatory Neurotransmission. eNeuro. 6(1). ENEURO.0292–18.2018. 22 indexed citations
10.
Amoah, Stephen, Praveen Chander, Carl M. Sellgren, et al.. (2019). Exosomal secretion of a psychosis-altered miRNA that regulates glutamate receptor expression is affected by antipsychotics. Neuropsychopharmacology. 45(4). 656–665. 73 indexed citations
11.
Floruta, Crina M., Ruofei Du, Huining Kang, Jason L. Stein, & Jason P. Weick. (2017). Default Patterning Produces Pan-cortical Glutamatergic and CGE/LGE-like GABAergic Neurons from Human Pluripotent Stem Cells. Stem Cell Reports. 9(5). 1463–1476. 15 indexed citations
12.
Huang, Cindy, Yunlong Tao, Jianfeng Lü, et al.. (2016). Time-Course Gene Expression Profiling Reveals a Novel Role of Non-Canonical WNT Signaling During Neural Induction. Scientific Reports. 6(1). 32600–32600. 15 indexed citations
13.
Weick, Jason P.. (2016). Functional Properties of Human Stem Cell‐Derived Neurons in Health and Disease. Stem Cells International. 2016(1). 4190438–4190438. 25 indexed citations
14.
Liu, Yan, Jason P. Weick, Huisheng Liu, et al.. (2013). Medial ganglionic eminence–like cells derived from human embryonic stem cells correct learning and memory deficits. Nature Biotechnology. 31(5). 440–447. 215 indexed citations
15.
Aimone, James B. & Jason P. Weick. (2013). Perspectives for computational modeling of cell replacement for neurological disorders. Frontiers in Computational Neuroscience. 7. 150–150. 11 indexed citations
16.
Krencik, Robert, Jason P. Weick, Yan Liu, Zhijian Zhang, & Su‐Chun Zhang. (2011). Specification of transplantable astroglial subtypes from human pluripotent stem cells. Nature Biotechnology. 29(6). 528–534. 321 indexed citations
17.
Johnson, Madisen, Jason P. Weick, Robert A. Pearce, & Su-Chun Zhang. (2007). Functional Neural Development from Human Embryonic Stem Cells: Accelerated Synaptic Activity via Astrocyte Coculture. Journal of Neuroscience. 27(12). 3069–3077. 266 indexed citations
18.
Groth, Rachel D., Jason P. Weick, Jessie I. Luoma, et al.. (2007). D1 dopamine receptor activation of NFAT‐mediated striatal gene expression. European Journal of Neuroscience. 27(1). 31–42. 24 indexed citations
19.
Boulware, Marissa I., Jason P. Weick, Bryan R. Becklund, et al.. (2005). Estradiol Activates Group I and II Metabotropic Glutamate Receptor Signaling, Leading to Opposing Influences on cAMP Response Element-Binding Protein. Journal of Neuroscience. 25(20). 5066–5078. 327 indexed citations
20.
Weick, Jason P., et al.. (2002). Effects of Acute Sublethal Exposure to Coumaphos or Diazinon on Acquisition and Discrimination of Odor Stimuli in the Honey Bee (Hymenoptera: Apidae). Journal of Economic Entomology. 95(2). 227–236. 59 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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