Karen O’Connell
Impact in
- Virology top 5%
- HIV Research and Treatment
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- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 8
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- Myasthenia Gravis and Thymoma 3
- Peripheral Neuropathies and Disorders 2
- Co-authors
- Niall Tubridy (11 shared papers)Michael Hutchinson (6 shared papers)Christopher McGuigan (8 shared papers)Jacqueline Palace (2 shared papers)Sithara Ramdas (3 shared papers)Hung‐Chih Yang (1 shared paper)Jason B. Dinoso (1 shared paper)Yefei Han (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (4 papers)Multiple Sclerosis Journal (2 papers)Journal of Hospital Infection (1 paper)QJM (1 paper)European Journal of Nutrition (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Karen O’Connell
29 papers receiving 682 citations
Peers
Comparison fields: 5 of 95
- Virology 195
- Pathology and Forensic Medicine 228
- Infectious Diseases 117
- Immunology 117
- Neurology 78
Countries citing papers authored by Karen O’Connell
This map shows the geographic impact of Karen O’Connell'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 Karen O’Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen O’Connell more than expected).
Fields of papers citing papers by Karen O’Connell
This network shows the impact of papers produced by Karen O’Connell. 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 Karen O’Connell. The network helps show where Karen O’Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Karen O’Connell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 219 | |
| 2 | 2015 | 53 | |
| 3 | 2020 | 52 | |
| 4 | 2017 | 44 | |
| 5 | 2018 | 43 | |
| 6 | 2017 | 39 | |
| 7 | 2015 | 36 | |
| 8 | 2014 | 35 | |
| 9 | 2018 | 31 | |
| 10 | 2017 | 25 | |
| 11 | 2013 | 17 | |
| 12 | 2017 | 14 | |
| 13 | 2008 | 12 | |
| 14 | 2009 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 6 |
About Karen O’Connell
Karen O’Connell is a scholar working on Pathology and Forensic Medicine, Neurology, Infectious Diseases, Molecular Biology and Surgery, having authored 29 papers that have together received 693 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Myasthenia Gravis and Thymoma (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), Peripheral Neuropathies and Disorders (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Muscle metabolism and nutrition (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Virology (195 citations), Pathology and Forensic Medicine (228 citations), Infectious Diseases (117 citations), Immunology (117 citations) and Neurology (78 citations). Karen O’Connell has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Niall Tubridy, Michael Hutchinson, Christopher McGuigan, Jacqueline Palace, Sithara Ramdas, Hung‐Chih Yang, Jason B. Dinoso, Yefei Han, Hao Zhang and Sifei Xing. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of Hospital Infection, QJM and European Journal of Nutrition.
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.