Nathan Dunn
Impact in
Papers in
- Oncology 23
- Global Cancer Incidence and Screening 16
- Colorectal Cancer Screening and Detection 7
- Cancer Risks and Factors 4
-
- Genomics and Phylogenetic Studies 4
- Co-authors
- Jennifer Muller (3 shared papers)Susanna Cramb (5 shared papers)Peter D. Baade (5 shared papers)Danny R. Youlden (2 shared papers)Christopher Pyke (1 shared paper)John S. Conery (5 shared papers)Shawn R. Lockery (5 shared papers)Mónica Muñoz-Torres (2 shared papers)
- Journals
- The Medical Journal of Australia (2 papers)Cancer Epidemiology (2 papers)ANZ Journal of Surgery (2 papers)Journal of Neurophysiology (1 paper)Climacteric (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Nathan Dunn
40 papers receiving 1.1k citations
Nathan Dunn's Hit Papers
Peers
Comparison fields: 5 of 154
- Aging 47
- Oncology 426
- Cancer Research 155
- Molecular Biology 328
- Genetics 132
Countries citing papers authored by Nathan Dunn
This map shows the geographic impact of Nathan Dunn'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 Nathan Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Dunn more than expected).
Fields of papers citing papers by Nathan Dunn
This network shows the impact of papers produced by Nathan Dunn. 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 Nathan Dunn. The network helps show where Nathan Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Dunn, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The descriptive epidemiology of female breast cancer: An international comparison of screening, incidence, survival and mortality Hit paper breakdown → | 2012 | 542 |
| 2 | 2019 | 134 | |
| 3 | 2017 | 114 | |
| 4 | 2004 | 49 | |
| 5 | 2002 | 47 | |
| 6 | 2004 | 40 | |
| 7 | 2013 | 33 | |
| 8 | 2019 | 29 | |
| 9 | 2010 | 24 | |
| 10 | 2017 | 19 | |
| 11 | 1985 | 12 | |
| 12 | 2007 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2007 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2019 | 7 |
About Nathan Dunn
Nathan Dunn is a scholar working on Oncology, Molecular Biology, Surgery, Epidemiology and Aging, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (16 papers), Colorectal Cancer Screening and Detection (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Genomics and Phylogenetic Studies (4 papers), Circadian rhythm and melatonin (4 papers), Cancer Risks and Factors (4 papers), Breast Cancer Treatment Studies (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Aging (47 citations), Oncology (426 citations), Cancer Research (155 citations), Molecular Biology (328 citations) and Genetics (132 citations). Nathan Dunn has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jennifer Muller, Susanna Cramb, Peter D. Baade, Danny R. Youlden, Christopher Pyke, John S. Conery, Shawn R. Lockery, Mónica Muñoz-Torres, Colin Diesh and Deepak Unni. Their work appears in journals such as The Medical Journal of Australia, Cancer Epidemiology, ANZ Journal of Surgery, Journal of Neurophysiology and Climacteric.
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.