Daniel Maloney

37 total papers · 2.7k total citations
11 papers, 616 citations indexed

About

Daniel Maloney is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Maloney has authored 11 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Infectious Diseases and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Maloney's work include Genomics and Phylogenetic Studies (3 papers), SARS-CoV-2 detection and testing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Maloney is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), SARS-CoV-2 detection and testing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Maloney collaborates with scholars based in United Kingdom, Ireland and Australia. Daniel Maloney's co-authors include John T. McCrone, Edward C. Holmes, Ben Jackson, Louis du Plessis, Oliver G. Pybus, Nathan Medd, David M. Aanensen, Khalil Abudahab, Anthony Underwood and Verity Hill and has published in prestigious journals such as Bioinformatics, The Journal of General Physiology and mBio.

In The Last Decade

Daniel Maloney

11 papers receiving 607 citations

Hit Papers

Assignment of epidemiolog... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Daniel Maloney 517 209 109 68 62 11 616
Rachel Colquhoun 522 1.0× 235 1.1× 112 1.0× 64 0.9× 64 1.0× 9 634
Emily Scher 483 0.9× 188 0.9× 107 1.0× 58 0.9× 48 0.8× 6 561
Cornelius Roemer 539 1.0× 230 1.1× 103 0.9× 80 1.2× 107 1.7× 7 677
Juanita Pang 498 1.0× 162 0.8× 74 0.7× 47 0.7× 57 0.9× 10 595
Arturo Torres Ortiz 484 0.9× 169 0.8× 70 0.6× 48 0.7× 69 1.1× 8 574
Grégory Destras 456 0.9× 143 0.7× 66 0.6× 64 0.9× 58 0.9× 21 530
Takahiko Koyama 467 0.9× 171 0.8× 80 0.7× 37 0.5× 30 0.5× 13 581
Dionna Scharton 559 1.1× 177 0.8× 81 0.7× 34 0.5× 48 0.8× 14 623
Cameron Stewart 524 1.0× 231 1.1× 88 0.8× 33 0.5× 48 0.8× 21 630
Nicole R. Sexton 474 0.9× 116 0.6× 183 1.7× 30 0.4× 60 1.0× 18 635

Countries citing papers authored by Daniel Maloney

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maloney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maloney

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