Janet OʼSullivan
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Oncology
- Surgery
- Co-authors
- Finbarr O’SullivanJanet F. EaryErnest U. ConradKenneth A. KrohnLanell M. PetersonJoseph G. RajendranJeffrey ScharnhorstJohn R. Grierson
- Topics
- Medical Imaging Techniques and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Sarcoma Diagnosis and Treatment (5 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologyJournal of the American Statistical Association
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Janet OʼSullivan
25 papers receiving 827 citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 482
- Pulmonary and Respiratory Medicine 295
- Cancer Research 232
- Oncology 96
- Surgery 75
Countries citing papers authored by Janet OʼSullivan
This map shows the geographic impact of Janet OʼSullivan'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 Janet OʼSullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet OʼSullivan more than expected).
Fields of papers citing papers by Janet OʼSullivan
This network shows the impact of papers produced by Janet OʼSullivan. 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 Janet OʼSullivan. The network helps show where Janet OʼSullivan may publish in the future.
Co-authorship network of co-authors of Janet OʼSullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Janet OʼSullivan. A scholar is included among the top collaborators of Janet OʼSullivan 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 Janet OʼSullivan. Janet OʼSullivan 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 | 5 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 36 | |
| 8 | 4 | |
| 9 | Use of paired FDG and 18F-Fluoride PET to predict response to therapy in patients with bone dominant metastases from breast cancer | 1 |
| 10 | 28 | |
| 11 | 27 | |
| 12 | 38 | |
| 13 | 17 | |
| 14 | 22 | |
| 15 | 163 | |
| 16 | 42 | |
| 17 | 32 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 19 |
About Janet OʼSullivan
Janet OʼSullivan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 846 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (482 citations), Cancer Research (232 citations) and Otorhinolaryngology (50 citations). Janet OʼSullivan has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Finbarr O’Sullivan, Janet F. Eary, Ernest U. Conrad, Kenneth A. Krohn, Lanell M. Peterson, Joseph G. Rajendran, Jeffrey Scharnhorst, John R. Grierson, David A. Schwartz and Patrick Ng. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of the American Statistical Association.
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.