Michael W. Nagle

42 total papers · 3.9k total citations
13 papers, 940 citations indexed

About

Michael W. Nagle is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Michael W. Nagle has authored 13 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Michael W. Nagle's work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (3 papers) and Epigenetics and DNA Methylation (2 papers). Michael W. Nagle is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (3 papers) and Epigenetics and DNA Methylation (2 papers). Michael W. Nagle collaborates with scholars based in United States, United Kingdom and Sweden. Michael W. Nagle's co-authors include Craig Hyde, David A. Hinds, Ashley R. Winslow, Jens R. Wendland, Chao Tian, Joyce Y. Tung, Sara A. Paciga, Xing Chen, Roy H. Perlis and Richard H. Myers and has published in prestigious journals such as Nature Genetics, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Michael W. Nagle

13 papers receiving 927 citations

Hit Papers

Identification of 15 gene... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Michael W. Nagle 325 314 244 157 91 13 940
Jude Gibson 665 2.0× 349 1.1× 183 0.8× 48 0.3× 69 0.8× 20 1.2k
Rena Li 252 0.8× 347 1.1× 232 1.0× 50 0.3× 86 0.9× 20 1.0k
Sarah Dwyer 395 1.2× 389 1.2× 170 0.7× 50 0.3× 73 0.8× 22 1.2k
Srikrishna Khandrika 261 0.8× 73 0.2× 208 0.9× 91 0.6× 66 0.7× 26 1.2k
Gabriel Oh 690 2.1× 366 1.2× 142 0.6× 57 0.4× 39 0.4× 18 1.1k
Stewart W. Morris 783 2.4× 456 1.5× 129 0.5× 52 0.3× 61 0.7× 30 1.2k
Maik Grohmann 380 1.2× 94 0.3× 158 0.6× 141 0.9× 110 1.2× 14 1.0k
Simone de Jong 678 2.1× 404 1.3× 129 0.5× 38 0.2× 185 2.0× 39 1.2k
Chao Tian 356 1.1× 645 2.1× 67 0.3× 33 0.2× 71 0.8× 10 1.1k
Christine Fraser 194 0.6× 297 0.9× 140 0.6× 132 0.8× 88 1.0× 26 1.1k

Countries citing papers authored by Michael W. Nagle

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Nagle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Nagle. 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 Michael W. Nagle. The network helps show where Michael W. Nagle may publish in the future.

Co-authorship network of co-authors of Michael W. Nagle

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Nagle. A scholar is included among the top collaborators of Michael W. Nagle 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 Michael W. Nagle. Michael W. Nagle 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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