Michelle O’Neill
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine
- Modeling and Simulation top 2%
- Biomedical Engineering
- Epidemiology
- Co-authors
- Máirín RyanPatricia HarringtonSusan M. SmithKieran WalshPaul G. CartyConor TeljeurPaula ByrneBarbara Clyne
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 Clinical Research Studies (6 papers)Clinical practice guidelines implementation (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Clinical EpidemiologyBMC Medical Research Methodology
- Partner nations
- IrelandUnited KingdomSaint Kitts and Nevis
In The Last Decade
Michelle O’Neill
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Infectious Diseases 591
- Pulmonary and Respiratory Medicine 175
- Modeling and Simulation 172
- Biomedical Engineering 144
- Epidemiology 100
Countries citing papers authored by Michelle O’Neill
This map shows the geographic impact of Michelle O’Neill'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 Michelle O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle O’Neill more than expected).
Fields of papers citing papers by Michelle O’Neill
This network shows the impact of papers produced by Michelle O’Neill. 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 Michelle O’Neill. The network helps show where Michelle O’Neill may publish in the future.
Co-authorship network of co-authors of Michelle O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle O’Neill. A scholar is included among the top collaborators of Michelle O’Neill 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 Michelle O’Neill. Michelle O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 86 | |
| 16 | 21 | |
| 17 | 42 | |
| 18 | 20 | |
| 19 | 47 | |
| 20 | 9 |
About Michelle O’Neill
Michelle O’Neill is a scholar working on Medical Laboratory Technology, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers) and Clinical practice guidelines implementation (6 papers). The work is most often cited by research in Modeling and Simulation (172 citations), Infectious Diseases (591 citations) and General Dentistry (19 citations). Michelle O’Neill has collaborated with scholars based in Ireland, United Kingdom and Saint Kitts and Nevis. Frequent co-authors include Máirín Ryan, Patricia Harrington, Susan M. Smith, Kieran Walsh, Paul G. Carty, Conor Teljeur, Paula Byrne, Barbara Clyne, Kirsty O’Brien and Karen Jordan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and BMC Medical Research Methodology.
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.