P. J. Michael Deans

24 total papers · 742 total citations
9 papers, 122 citations indexed

About

P. J. Michael Deans is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, P. J. Michael Deans has authored 9 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in P. J. Michael Deans's work include Neuroscience and Neuropharmacology Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Pluripotent Stem Cells Research (2 papers). P. J. Michael Deans is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Pluripotent Stem Cells Research (2 papers). P. J. Michael Deans collaborates with scholars based in United States, United Kingdom and Brazil. P. J. Michael Deans's co-authors include Kristen Brennand, Deepak P. Srivastava, Pooja Raval, Katherine J. Sellers, Rodrigo R. R. Duarte, Graham Cocks, Matthew Hill, Jack Price, Carole Shum and Nicholas J. Bray and has published in prestigious journals such as Nature, Biological Psychiatry and Nature Protocols.

In The Last Decade

P. J. Michael Deans

9 papers receiving 122 citations

Author Peers

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

Author Last Decade Papers Cites
P. J. Michael Deans 63 43 21 19 9 9 122
Lauren T. Hewitt 40 0.6× 68 1.6× 23 1.1× 19 1.0× 13 1.4× 11 148
Guoquan Zhou 57 0.9× 48 1.1× 13 0.6× 17 0.9× 4 0.4× 9 142
Joshua L. Schwartz 127 2.0× 42 1.0× 35 1.7× 23 1.2× 6 0.7× 7 182
Darina Prchalová 75 1.2× 59 1.4× 9 0.4× 24 1.3× 6 0.7× 11 179
Sarah Jugurnauth 65 1.0× 46 1.1× 22 1.0× 69 3.6× 8 0.9× 7 172
Huidan Wu 64 1.0× 67 1.6× 28 1.3× 11 0.6× 5 0.6× 13 123
Erin Clark 84 1.3× 33 0.8× 14 0.7× 24 1.3× 6 0.7× 5 122
Anne-Kathrin Lutz 112 1.8× 38 0.9× 34 1.6× 24 1.3× 20 2.2× 11 223
Carlos Dombret 68 1.1× 72 1.7× 10 0.5× 22 1.2× 9 1.0× 7 225
Liane Wüstefeld 46 0.7× 23 0.5× 10 0.5× 31 1.6× 9 1.0× 7 127

Countries citing papers authored by P. J. Michael Deans

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Michael Deans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Michael Deans. 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 P. J. Michael Deans. The network helps show where P. J. Michael Deans may publish in the future.

Co-authorship network of co-authors of P. J. Michael Deans

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