Nadine Winn

12 total papers · 788 total citations
8 papers, 655 citations indexed

About

Nadine Winn is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nadine Winn has authored 8 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nadine Winn's work include Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Genetic Neurodegenerative Diseases (2 papers). Nadine Winn is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Genetic Neurodegenerative Diseases (2 papers). Nadine Winn collaborates with scholars based in Italy, Australia and United Kingdom. Nadine Winn's co-authors include Nadia Rosenthal, Antonio Musarò, Thea Shavlakadze, Miranda D. Grounds, Cristina Giacinti, Laura Pelosi, Mario Molinaro, Gabriella Dobrowolny, Carmine Nicoletti and Laura Barberi and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Journal of Cell Science.

In The Last Decade

Nadine Winn

8 papers receiving 642 citations

Author Peers

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

Author Last Decade Papers Cites
Nadine Winn 454 220 172 116 110 8 655
Teuta Domi 344 0.8× 87 0.4× 150 0.9× 22 0.2× 155 1.4× 23 658
Julien Branchu 314 0.7× 256 1.2× 133 0.8× 13 0.1× 167 1.5× 16 642
Phuong T. Hoang 507 1.1× 92 0.4× 38 0.2× 37 0.3× 56 0.5× 11 775
Anke Brederlau 431 0.9× 75 0.3× 58 0.3× 113 1.0× 315 2.9× 12 737
Daniel H. Paushter 170 0.4× 126 0.6× 365 2.1× 40 0.3× 32 0.3× 12 635
Giordano Wosgrau Calloni 427 0.9× 108 0.5× 30 0.2× 35 0.3× 62 0.6× 17 711
Tijs Vandoorne 321 0.7× 220 1.0× 371 2.2× 15 0.1× 108 1.0× 12 640
L. Baumbach 502 1.1× 161 0.7× 14 0.1× 50 0.4× 95 0.9× 14 615
Alan Peterson 156 0.3× 110 0.5× 103 0.6× 31 0.3× 117 1.1× 16 591
Tanya L. Henshall 405 0.9× 135 0.6× 91 0.5× 11 0.1× 148 1.3× 10 737

Countries citing papers authored by Nadine Winn

Since Specialization
Citations

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

Fields of papers citing papers by Nadine Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadine Winn

This figure shows the co-authorship network connecting the top 25 collaborators of Nadine Winn. A scholar is included among the top collaborators of Nadine Winn 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 Nadine Winn. Nadine Winn 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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