Nathan Dunn

3.3k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Nathan Dunn is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Nathan Dunn has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Nathan Dunn's work include Global Cancer Incidence and Screening (16 papers), Colorectal Cancer Screening and Detection (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Nathan Dunn is often cited by papers focused on Global Cancer Incidence and Screening (16 papers), Colorectal Cancer Screening and Detection (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Nathan Dunn collaborates with scholars based in Australia, United States and United Kingdom. Nathan Dunn's co-authors include Jennifer Muller, Peter D. Baade, Susanna Cramb, Christopher Pyke, Danny R. Youlden, Shawn R. Lockery, John S. Conery, Mónica Muñoz-Torres, Colin Diesh and Ian Holmes and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Nathan Dunn

40 papers receiving 1.1k citations

Hit Papers

The descriptive epidemiology of female breast cancer: An ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Dunn Australia 12 426 328 155 132 127 41 1.2k
Thompson United States 18 369 0.9× 267 0.8× 108 0.7× 159 1.2× 130 1.0× 43 1.4k
Florian Battke Germany 22 263 0.6× 477 1.5× 146 0.9× 132 1.0× 113 0.9× 49 1.2k
Anat Reiner‐Benaim Israel 15 262 0.6× 993 3.0× 195 1.3× 206 1.6× 116 0.9× 45 2.1k
Jiyuan An Australia 24 157 0.4× 494 1.5× 224 1.4× 270 2.0× 125 1.0× 58 1.4k
Liyu Liu Taiwan 23 353 0.8× 644 2.0× 259 1.7× 111 0.8× 90 0.7× 96 1.5k
Serghei Mangul United States 18 360 0.8× 799 2.4× 197 1.3× 150 1.1× 94 0.7× 70 1.5k
Kanae Oda Japan 10 283 0.7× 1.2k 3.7× 144 0.9× 117 0.9× 105 0.8× 26 1.9k
Jihye Park United States 19 358 0.8× 933 2.8× 325 2.1× 79 0.6× 47 0.4× 60 1.6k
Yuying Xie United States 19 305 0.7× 480 1.5× 129 0.8× 133 1.0× 66 0.5× 53 1.2k
Weiwei Zhang China 20 468 1.1× 669 2.0× 329 2.1× 330 2.5× 118 0.9× 111 1.5k

Countries citing papers authored by Nathan Dunn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nathan Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Dunn. A scholar is included among the top collaborators of Nathan Dunn 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 Nathan Dunn. Nathan Dunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Philpot, Shoni, Philippa Youl, Colin Furnival, et al.. (2021). Development and implementation of a population-based breast cancer quality index in Queensland, Australia. Journal of Cancer Policy. 29. 100291–100291. 1 indexed citations
2.
Holland, Lucy, Natalie Bradford, Philippa Youl, et al.. (2020). Cancer Incidence, Mortality, and Survival for Children, Adolescents, and Young Adults in Queensland Between 1987 and 2016. Journal of Adolescent and Young Adult Oncology. 10(6). 629–644. 10 indexed citations
3.
Moore, Julie, et al.. (2020). Regional nodal metastasis and 5‐year survival in patients with thin melanoma in Queensland: a population‐based study. ANZ Journal of Surgery. 90(4). 503–507. 4 indexed citations
4.
Wyld, David, et al.. (2019). Epidemiological trends of neuroendocrine tumours over three decades in Queensland, Australia. Cancer Epidemiology. 63. 101598–101598. 29 indexed citations
5.
Dunn, Nathan, Deepak Unni, Colin Diesh, et al.. (2019). Apollo: Democratizing genome annotation. PLoS Computational Biology. 15(2). e1006790–e1006790. 134 indexed citations
6.
Hapgood, Greg, et al.. (2018). Relative survival of patients with lymphoma in Queensland according to histological subtype. The Medical Journal of Australia. 209(4). 166–172. 4 indexed citations
7.
Dunn, Nathan, et al.. (2017). Systemic Therapy as Treatment for Queensland Colorectal Cancer Patients. Asia-Pacific Journal of Clinical Oncology. 13. 107–107. 1 indexed citations
8.
Cooper, Laurel, Marie‐Angélique Laporte, Justin Elser, et al.. (2017). The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Research. 46(D1). D1168–D1180. 114 indexed citations
9.
Moore, Julie, et al.. (2016). A 12-Year Population Study of Ductal Carcinoma Insitu (Dcis): Incidence, Tumor Characteristics and Breast Cancer Recurrence in Queensland Women. Asia-Pacific Journal of Clinical Oncology. 12. 72–72. 1 indexed citations
10.
Dunn, Nathan, et al.. (2016). Has Mammographic Screening Delivered the Expected Mortality Benefits for Queensland Women. Asia-Pacific Journal of Clinical Oncology. 12. 87–87. 1 indexed citations
11.
Dunn, Nathan, et al.. (2015). Complex cancer surgery for rare cancers: Volume-associated outcomes for patients undergoing pancreaticoduodenectomy in Queensland. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
12.
Cramb, Susanna, et al.. (2015). Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland. BMC Public Health. 15(1). 1204–1204. 7 indexed citations
14.
Youlden, Danny R., Susanna Cramb, Nathan Dunn, et al.. (2012). The descriptive epidemiology of female breast cancer: An international comparison of screening, incidence, survival and mortality. Cancer Epidemiology. 36(3). 237–248. 542 indexed citations breakdown →
15.
Alati, Rosa, Nathan Dunn, David M. Purdie, et al.. (2007). Moderate alcohol consumption contributes to women's well-being through the menopausal transition. Climacteric. 10(6). 491–499. 10 indexed citations
16.
Dunn, Nathan, John S. Conery, & Shawn R. Lockery. (2007). Circuit Motifs for Spatial Orientation Behaviors Identified by Neural Network Optimization. Journal of Neurophysiology. 98(2). 888–897. 11 indexed citations
17.
Dunn, Nathan, Shawn R. Lockery, Jonathan T. Pierce, & John S. Conery. (2004). A Neural Network Model of Chemotaxis Predicts Functions of Synaptic Connections in the Nematode Caenorhabditis elegans. Journal of Computational Neuroscience. 17(2). 137–147. 49 indexed citations
18.
Francis, Roger M., et al.. (2004). Acute and long-term management of patients with vertebral fractures. QJM. 97(2). 63–74. 40 indexed citations
19.
Dunn, Nathan, John S. Conery, & Shawn R. Lockery. (2003). Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans.. Neural Information Processing Systems. 1279–1286. 1 indexed citations
20.
Dunn, Nathan, B. J. Preston, & Kathryn Jones. (1985). Unexplained acute backache in longstanding ankylosing spondylitis.. BMJ. 291(6509). 1632–1634. 12 indexed citations

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.

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