Maria Keays

70 total papers · 18.0k total citations
5 papers, 616 citations indexed

About

Maria Keays is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Maria Keays has authored 5 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Maria Keays's work include Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (1 paper) and Antifungal resistance and susceptibility (1 paper). Maria Keays is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (1 paper) and Antifungal resistance and susceptibility (1 paper). Maria Keays collaborates with scholars based in United Kingdom, United States and France. Maria Keays's co-authors include Robert Petryszak, Alvis Brāzma, Amy Tang, Karyn Mégy, Helen Parkinson, Marco Brandizi, Natalja Kurbatova, Gabriella Rustici, Emma Hastings and Eleanor Williams and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Maria Keays

5 papers receiving 607 citations

Hit Papers

ArrayExpress update—simpl... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. ArrayExpress update—simplifying data submissions
    2014 509 citations N. N. Kolesnikov, Emma Hastings et al. Nucleic Acids Research profile →

Author Peers

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

Author Last Decade Papers Cites
Maria Keays 457 82 77 65 37 5 616
Craig Wallin 434 0.9× 66 0.8× 44 0.6× 79 1.2× 68 1.8× 7 613
Andrew Tikhonov 518 1.1× 94 1.1× 62 0.8× 61 0.9× 41 1.1× 5 681
Dong Yue 453 1.0× 74 0.9× 54 0.7× 35 0.5× 73 2.0× 6 682
Demis A. Kia 373 0.8× 68 0.8× 38 0.5× 113 1.7× 29 0.8× 10 686
Nancy George 476 1.0× 89 1.1× 32 0.4× 46 0.7× 21 0.6× 8 662
Catherine Snow 406 0.9× 72 0.9× 36 0.5× 51 0.8× 25 0.7× 3 534
Gautier Koscielny 460 1.0× 65 0.8× 73 0.9× 139 2.1× 66 1.8× 7 632
Natalja Kurbatova 530 1.2× 79 1.0× 49 0.6× 67 1.0× 90 2.4× 11 679
Ramona Plant 363 0.8× 91 1.1× 54 0.7× 46 0.7× 12 0.3× 10 538
Bianca V. Gapp 492 1.1× 58 0.7× 46 0.6× 93 1.4× 13 0.4× 9 616

Countries citing papers authored by Maria Keays

Since Specialization
Citations

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

Fields of papers citing papers by Maria Keays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Keays

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