Fiona O’Connell
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 4
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- Cancer, Lipids, and Metabolism 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- Zheng Zhang (1 shared paper)Ruotong Wang (1 shared paper)Haiyi Zhu (1 shared paper)Hao-Fei Cheng (1 shared paper)F. Maxwell Harper (1 shared paper)Jacintha O’Sullivan (22 shared papers)John V. Reynolds (12 shared papers)Noel E. Donlon (12 shared papers)
- Journals
- Cancers (5 papers)International Journal of Molecular Sciences (3 papers)Cancer Letters (2 papers)European Journal of Medicinal Chemistry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- IrelandCanadaUnited Kingdom
In The Last Decade
Fiona O’Connell
33 papers receiving 501 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 32
- Safety Research 96
- General Decision Sciences 8
- Artificial Intelligence 147
- Oncology 97
Countries citing papers authored by Fiona O’Connell
This map shows the geographic impact of Fiona 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 Fiona 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 Fiona O’Connell more than expected).
Fields of papers citing papers by Fiona O’Connell
This network shows the impact of papers produced by Fiona 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 Fiona O’Connell. The network helps show where Fiona O’Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 205 | |
| 2 | 2022 | 33 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 6 |
About Fiona O’Connell
Fiona O’Connell is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Immunology, having authored 34 papers that have together received 511 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (6 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune cells in cancer (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Health Informatics (32 citations), Safety Research (96 citations), General Decision Sciences (8 citations), Artificial Intelligence (147 citations) and Oncology (97 citations). Fiona O’Connell has collaborated with scholars based in Ireland, Canada and United Kingdom. Frequent co-authors include Zheng Zhang, Ruotong Wang, Haiyi Zhu, Hao-Fei Cheng, F. Maxwell Harper, Jacintha O’Sullivan, John V. Reynolds, Noel E. Donlon, Joanne Lysaght and Adriele Prina‐Mello. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Cancer Letters, European Journal of Medicinal Chemistry and PLoS Computational Biology.
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.