Daniel E. Winkowski

1.2k total citations
18 papers, 666 citations indexed

About

Daniel E. Winkowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel E. Winkowski has authored 18 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Daniel E. Winkowski's work include Neural dynamics and brain function (14 papers), Retinal Development and Disorders (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Daniel E. Winkowski is often cited by papers focused on Neural dynamics and brain function (14 papers), Retinal Development and Disorders (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Daniel E. Winkowski collaborates with scholars based in United States and France. Daniel E. Winkowski's co-authors include Patrick O. Kanold, Eric I. Knudsen, Shihab Shamma, Daniel A. Nagode, Xiangying Meng, Joseph P. Y. Kao, Alireza Sheikhattar, Sharba Bandyopadhyay, Nikolas A. Francis and Behtash Babadi and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Daniel E. Winkowski

18 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Winkowski United States 13 566 244 121 87 79 18 666
Santiago Jaramillo United States 11 550 1.0× 260 1.1× 95 0.8× 81 0.9× 72 0.9× 26 656
Anders Nelson United States 6 627 1.1× 332 1.4× 77 0.6× 56 0.6× 73 0.9× 7 767
Max F. K. Happel Germany 15 408 0.7× 302 1.2× 126 1.0× 42 0.5× 94 1.2× 33 678
Maria N. Geffen United States 18 805 1.4× 444 1.8× 182 1.5× 119 1.4× 110 1.4× 33 1.0k
Johannes C Dahmen United Kingdom 16 884 1.6× 328 1.3× 233 1.9× 155 1.8× 57 0.7× 21 1.0k
Yves Manunta France 12 681 1.2× 309 1.3× 172 1.4× 99 1.1× 47 0.6× 13 801
Sofia Soares Portugal 9 838 1.5× 403 1.7× 64 0.5× 76 0.9× 109 1.4× 11 1.1k
Mu Zhou United States 9 532 0.9× 379 1.6× 104 0.9× 33 0.4× 78 1.0× 9 693
Matthias Deliano Germany 12 333 0.6× 234 1.0× 59 0.5× 85 1.0× 77 1.0× 28 552
Enquan Gao United States 10 868 1.5× 422 1.7× 245 2.0× 124 1.4× 97 1.2× 12 994

Countries citing papers authored by Daniel E. Winkowski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Winkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Winkowski. 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 Daniel E. Winkowski. The network helps show where Daniel E. Winkowski may publish in the future.

Co-authorship network of co-authors of Daniel E. Winkowski

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

All Works

18 of 18 papers shown
1.
Winkowski, Daniel E., et al.. (2022). A ROBUST DEEP LEARNING APPROACH FOR PRECISELY SEGMENTING CELLS IN MULTIPLEX TISSUE IMAGES. Journal of Pathology Informatics. 13. 100088–100088. 1 indexed citations
2.
Murase, Sachiko, et al.. (2022). Chronic Monocular Deprivation Reveals MMP9-Dependent and -Independent Aspects of Murine Visual System Plasticity. International Journal of Molecular Sciences. 23(5). 2438–2438. 5 indexed citations
3.
Winkowski, Daniel E., et al.. (2020). Functional organization of mouse primary auditory cortex in adult C57BL/6 and F1 (CBAxC57) mice. Scientific Reports. 10(1). 10905–10905. 30 indexed citations
4.
Winkowski, Daniel E., et al.. (2019). Neuronal Avalanches in Input and Associative Layers of Auditory Cortex. Frontiers in Systems Neuroscience. 13. 45–45. 16 indexed citations
5.
Meng, Xiangying, Ji Liu, Daniel A. Nagode, et al.. (2019). Transient Subgranular Hyperconnectivity to L2/3 and Enhanced Pairwise Correlations During the Critical Period in the Mouse Auditory Cortex. Cerebral Cortex. 30(3). 1914–1930. 27 indexed citations
6.
Francis, Nikolas A., et al.. (2018). Small Networks Encode Decision-Making in Primary Auditory Cortex. Neuron. 97(4). 885–897.e6. 75 indexed citations
7.
Seshadri, Saurav, Andreas Klaus, Daniel E. Winkowski, Patrick O. Kanold, & Dietmar Plenz. (2018). Altered avalanche dynamics in a developmental NMDAR hypofunction model of cognitive impairment. Translational Psychiatry. 8(1). 3–3. 22 indexed citations
8.
Meng, Xiangying, Daniel E. Winkowski, Joseph P. Y. Kao, & Patrick O. Kanold. (2017). Sublaminar Subdivision of Mouse Auditory Cortex Layer 2/3 Based on Functional Translaminar Connections. Journal of Neuroscience. 37(42). 10200–10214. 34 indexed citations
9.
Nagode, Daniel A., Xiangying Meng, Daniel E. Winkowski, et al.. (2017). Abnormal Development of the Earliest Cortical Circuits in a Mouse Model of Autism Spectrum Disorder. Cell Reports. 18(5). 1100–1108. 56 indexed citations
10.
Aghayee, Samira, et al.. (2017). Particle Tracking Facilitates Real Time Capable Motion Correction in 2D or 3D Two-Photon Imaging of Neuronal Activity. Frontiers in Neural Circuits. 11. 56–56. 10 indexed citations
11.
Winkowski, Daniel E., Daniel A. Nagode, Pingbo Yin, et al.. (2016). Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons. Cerebral Cortex. 28(3). 868–879. 65 indexed citations
12.
Winkowski, Daniel E., Sharba Bandyopadhyay, Shihab Shamma, & Patrick O. Kanold. (2013). Frontal Cortex Activation Causes Rapid Plasticity of Auditory Cortical Processing. Journal of Neuroscience. 33(46). 18134–18148. 50 indexed citations
13.
Winkowski, Daniel E. & Patrick O. Kanold. (2013). Laminar Transformation of Frequency Organization in Auditory Cortex. Journal of Neuroscience. 33(4). 1498–1508. 84 indexed citations
14.
Winkowski, Daniel E. & Eric I. Knudsen. (2008). Distinct Mechanisms for Top-Down Control of Neural Gain and Sensitivity in the Owl Optic Tectum. Neuron. 60(4). 698–708. 47 indexed citations
15.
Winkowski, Daniel E. & Eric I. Knudsen. (2007). Top-Down Control of Multimodal Sensitivity in the Barn Owl Optic Tectum. Journal of Neuroscience. 27(48). 13279–13291. 49 indexed citations
16.
Winkowski, Daniel E. & Eric I. Knudsen. (2006). Top-down gain control of the auditory space map by gaze control circuitry in the barn owl. Nature. 439(7074). 336–339. 88 indexed citations
17.
Winkowski, Daniel E. & Edward R. Gruberg. (2005). Superimposed maps of the monocular visual fields in the caudolateral optic tectum in the frog, Rana pipiens. Visual Neuroscience. 22(1). 101–109. 1 indexed citations
18.
Winkowski, Daniel E. & Edward R. Gruberg. (2002). The representation of the ipsilateral eye in nucleus isthmi of the leopard frog, Rana pipiens. Visual Neuroscience. 19(5). 669–679. 6 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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