Daniel Maloney
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 2
- Retinal Development and Disorders 2
- Mitochondrial Function and Pathology 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- SARS-CoV-2 detection and testing 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Áine O’Toole (4 shared papers)Andrew Rambaut (3 shared papers)Emily Scher (2 shared papers)Ben Taylor (2 shared papers)John T. McCrone (2 shared papers)Verity Hill (2 shared papers)Rachel Colquhoun (3 shared papers)Chris Ruis (2 shared papers)
- Journals
- Virus Evolution (2 papers)Advances in experimental medicine and biology (1 paper)mBio (1 paper)Bioinformatics (1 paper)The Journal of General Physiology (1 paper)
- Partner nations
- United KingdomAustraliaIreland
In The Last Decade
Daniel Maloney
11 papers receiving 617 citations
Daniel Maloney's Hit Papers
Peers
Comparison fields: 5 of 59
- Infectious Diseases 521
- Modeling and Simulation 51
- Animal Science and Zoology 109
- Molecular Biology 213
- Ecology 69
Countries citing papers authored by Daniel Maloney
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
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-authors
The 25 scholars most cited alongside Daniel Maloney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool Hit paper breakdown → | 2021 | 551 |
| 2 | 2023 | 26 | |
| 3 | 2020 | 12 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2021 | 1 |
About Daniel Maloney
Daniel Maloney is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Ecology and Ophthalmology, having authored 11 papers that have together received 626 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Retinal Development and Disorders (2 papers), Mitochondrial Function and Pathology (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Infectious Diseases (521 citations), Modeling and Simulation (51 citations), Animal Science and Zoology (109 citations), Molecular Biology (213 citations) and Ecology (69 citations). Daniel Maloney has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include Áine O’Toole, Andrew Rambaut, Emily Scher, Ben Taylor, John T. McCrone, Verity Hill, Rachel Colquhoun, Chris Ruis, Khalil Abudahab and Anthony Underwood. Their work appears in journals such as Virus Evolution, Advances in experimental medicine and biology, mBio, Bioinformatics and The Journal of General Physiology.
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.