Margaret O’Hara
- Neurology top 1%
- Clinical Psychology top 5%
- Biomedical Engineering top 10%
- Critical Care and Intensive Care Medicine top 1%
- Infectious Diseases top 5%
- Co-authors
- Chris A. MayhewClaire HastieDaniel MunblitPiero OlliaroNisreen A AlwanNida ZiauddeenPolina BugaevaDania Dahmash
- Topics
- Long-Term Effects of COVID-19 (13 papers)Advanced Chemical Sensor Technologies (7 papers)COVID-19 and Mental Health (7 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Margaret O’Hara
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Neurology 900
- Clinical Psychology 469
- Biomedical Engineering 316
- Critical Care and Intensive Care Medicine 309
- Infectious Diseases 307
Countries citing papers authored by Margaret O’Hara
This map shows the geographic impact of Margaret O’Hara'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 Margaret O’Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret O’Hara more than expected).
Fields of papers citing papers by Margaret O’Hara
This network shows the impact of papers produced by Margaret O’Hara. 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 Margaret O’Hara. The network helps show where Margaret O’Hara may publish in the future.
Co-authorship network of co-authors of Margaret O’Hara
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret O’Hara. A scholar is included among the top collaborators of Margaret O’Hara 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 Margaret O’Hara. Margaret O’Hara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 23 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 78 | |
| 10 | 51 | |
| 11 | Characteristics and impact of Long Covid: Findings from an online surveybreakdown → | 160 |
| 12 | 3 | |
| 13 | Characterising long COVID: a living systematic reviewbreakdown → | 568 |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 109 | |
| 17 | 11 | |
| 18 | 13 | |
| 19 | 95 | |
| 20 | 47 |
About Margaret O’Hara
Margaret O’Hara is a scholar working on Critical Care and Intensive Care Medicine, Neurology and Infectious Diseases, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (13 papers), Advanced Chemical Sensor Technologies (7 papers) and COVID-19 and Mental Health (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (309 citations), Neurology (900 citations) and Clinical Psychology (469 citations). Margaret O’Hara has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Chris A. Mayhew, Claire Hastie, Daniel Munblit, Piero Olliaro, Nisreen A Alwan, Nida Ziauddeen, Polina Bugaeva, Dania Dahmash, Hung‐Yuan Cheng and Eli Harriss. Their work appears in journals such as The Lancet, PLoS ONE and Journal of Bacteriology.
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.