Sean O’Neill
- Rheumatology top 1%
- Immunology top 10%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Hematology top 10%
- Co-authors
- Fiona GoldblattRicard CerveraAllison TongDavinder Singh‐GrewalJonathan C. CraigDavid IsenbergSally HollandH. Patrick McNeil
- Topics
- Systemic Lupus Erythematosus Research (25 papers)Systemic Sclerosis and Related Diseases (7 papers)Musculoskeletal pain and rehabilitation (6 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaCochrane Database of Systematic Reviews
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Sean O’Neill
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 160
- Rheumatology 609
- Immunology 365
- Pathology and Forensic Medicine 239
- Molecular Biology 126
- Hematology 123
Countries citing papers authored by Sean O’Neill
This map shows the geographic impact of Sean 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 Sean 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 Sean O’Neill more than expected).
Fields of papers citing papers by Sean O’Neill
This network shows the impact of papers produced by Sean 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 Sean O’Neill. The network helps show where Sean O’Neill may publish in the future.
Co-authorship network of co-authors of Sean O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Sean O’Neill. A scholar is included among the top collaborators of Sean 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 Sean O’Neill. Sean 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 17 | |
| 9 | 20 | |
| 10 | 52 | |
| 11 | 10 | |
| 12 | 22 | |
| 13 | 55 | |
| 14 | 186 | |
| 15 | Why Revisit Published Data of an Endangered Language with Native Speakers? An Illustration from Cherokee | 0 |
| 16 | 85 | |
| 17 | 21 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 8 |
About Sean O’Neill
Sean O’Neill is a scholar working on Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (25 papers), Systemic Sclerosis and Related Diseases (7 papers) and Musculoskeletal pain and rehabilitation (6 papers). The work is most often cited by research in Rheumatology (609 citations), Immunology (365 citations) and Pathology and Forensic Medicine (239 citations). Sean O’Neill has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Fiona Goldblatt, Ricard Cervera, Allison Tong, Davinder Singh‐Grewal, Jonathan C. Craig, David Isenberg, Sally Holland, H. Patrick McNeil, David J. Tunnicliffe and Julie Jones. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Cochrane Database of Systematic Reviews.
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.