Daniel E. Winkowski

32 total papers · 1.1k total citations
18 papers, 655 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 655 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), Neuroscience and Neuropharmacology Research (5 papers) and Retinal Development and Disorders (5 papers). Daniel E. Winkowski is often cited by papers focused on Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (5 papers) and Retinal Development and Disorders (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, Sharba Bandyopadhyay, Behtash Babadi, Nikolas A. Francis and Alireza Sheikhattar and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Daniel E. Winkowski

18 papers receiving 648 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel E. Winkowski 557 239 121 85 77 18 655
Xiaorui Xiong 544 1.0× 334 1.4× 119 1.0× 84 1.0× 61 0.8× 14 694
Santiago Jaramillo 546 1.0× 259 1.1× 97 0.8× 81 1.0× 70 0.9× 26 649
Max F. K. Happel 406 0.7× 300 1.3× 126 1.0× 42 0.5× 94 1.2× 33 674
Colin W. Dunlop 401 0.7× 247 1.0× 125 1.0× 39 0.5× 46 0.6× 27 578
Anders Nelson 625 1.1× 332 1.4× 77 0.6× 55 0.6× 73 0.9× 7 762
Ioana Carcea 421 0.8× 311 1.3× 75 0.6× 53 0.6× 89 1.2× 20 708
Ryan G. Natan 366 0.7× 185 0.8× 56 0.5× 41 0.5× 51 0.7× 19 560
Mu Zhou 531 1.0× 378 1.6× 104 0.9× 33 0.4× 78 1.0× 9 689
Anna R. Chambers 648 1.2× 268 1.1× 327 2.7× 60 0.7× 52 0.7× 17 789
Kexin Yuan 408 0.7× 260 1.1× 105 0.9× 26 0.3× 55 0.7× 21 582

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

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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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