Joanna Duncan
- Surgery
- Hepatology top 10%
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Anesthesiology and Pain Medicine top 5%
- Co-authors
- Ning MaAlun L. CameronGuy J. MaddernThomas VreugdenburgDagmara RiitanoDavid TiveyStephen TobinDavid Fletcher
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (3 papers)Anesthesia and Pain Management (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
In The Last Decade
Joanna Duncan
10 papers receiving 307 citations
Peers
Comparison fields: 5 of 50
- Surgery 178
- Hepatology 87
- Cardiology and Cardiovascular Medicine 75
- Radiology, Nuclear Medicine and Imaging 69
- Anesthesiology and Pain Medicine 68
Countries citing papers authored by Joanna Duncan
This map shows the geographic impact of Joanna Duncan'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 Joanna Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Duncan more than expected).
Fields of papers citing papers by Joanna Duncan
This network shows the impact of papers produced by Joanna Duncan. 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 Joanna Duncan. The network helps show where Joanna Duncan may publish in the future.
Co-authorship network of co-authors of Joanna Duncan
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Duncan. A scholar is included among the top collaborators of Joanna Duncan 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 Joanna Duncan. Joanna Duncan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 92 | |
| 5 | 5 | |
| 6 | 66 | |
| 7 | 71 | |
| 8 | 35 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | A randomised double-blind controlled clinical trial to assess the effects of prophylactic N-acetylcysteine on liver injury during liver resection | 3 |
| 12 | Does perioperative N-aceylcysteine prevent ischaemia reperfusion injury during liver resection?: A prospectively randomised double blind clinical trial | 2 |
About Joanna Duncan
Joanna Duncan is a scholar working on Hepatology, Anesthesiology and Pain Medicine and Health Information Management, having authored 12 papers that have together received 313 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Anesthesia and Pain Management (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (68 citations), Hepatology (87 citations) and Surgery (178 citations). Joanna Duncan has collaborated with scholars based in Australia and Austria. Frequent co-authors include Ning Ma, Alun L. Cameron, Guy J. Maddern, Thomas Vreugdenburg, Dagmara Riitano, David Tivey, Stephen Tobin, David Fletcher, David Watters and Philip Haywood. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Journal of Cardio-Thoracic Surgery and International Journal of Colorectal Disease.
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.