Jeff Dunn

8.0k citations
194 papers · 5.8k indexed · h-index 45

Impact in

Papers in

Jeff Dunn

187 papers receiving 5.6k citations

Peers

Jeff Dunn
Comparison fields: 5 of 166
  • Oncology 3.5k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Applied Psychology 310
  • Public Health, Environmental and Occupational Health 1.4k
  • General Health Professions 1.2k
Replace Penelope Schofield with:
Penelope Schofield Australia
Floortje Mols Netherlands
Barbara Curbow United States
James Zabora United States
Suzanne K. Chambers Australia
Deborah K. Mayer United States
Claire Foster United Kingdom
Olga Husson Netherlands
Susan L. Stewart United States
Claire Snyder United States
Jeff Dunn relative to Penelope Schofield Australia Penelope Schofield's profile →
Citations per field
00.5×1.7×
Penelope Schofield · 1×
Citations per year

Countries citing papers authored by Jeff Dunn

Since Specialization
Citations

This map shows the geographic impact of Jeff 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 Jeff Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Dunn more than expected).

Fields of papers citing papers by Jeff Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff 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 Jeff Dunn. The network helps show where Jeff Dunn may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeff Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Dunn Line = papers co-authored together Jeff Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001206
2 2009200
3 2012179
4 2000174
5 2008159
6 2013140
7
Quality of Life Among Patients with a Brain Tumour and their Carers
2007133
8 2012132
9 2008112
10 2016105
11 2005102
12 201596
13 200896
14 200595
15 201395
16 200392
17 201491
18 201591
19 201189
20 201189

About Jeff Dunn

Jeff Dunn is a scholar working on Oncology, Sociology and Political Science, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and General Health Professions, having authored 194 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cancer survivorship and care (104 papers), Family Support in Illness (57 papers), Childhood Cancer Survivors' Quality of Life (44 papers), Global Cancer Incidence and Screening (42 papers), Palliative Care and End-of-Life Issues (41 papers), Colorectal Cancer Screening and Detection (20 papers), Patient-Provider Communication in Healthcare (16 papers) and Prostate Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Oncology (3.5k citations), Pediatrics, Perinatology and Child Health (1.2k citations), Applied Psychology (310 citations), Public Health, Environmental and Occupational Health (1.4k citations) and General Health Professions (1.2k citations). Jeff Dunn has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Suzanne K. Chambers, Suzanne K. Steginga, Stefano Occhipinti, Joanne F. Aitken, Melissa K. Hyde, Peter D. Baade, Robert A. Gardiner, Megan Ferguson, Leah Zajdlewicz and Sandy Hutchison. Their work appears in journals such as Psycho-Oncology, Supportive Care in Cancer, PLoS ONE, BMC Cancer and BMJ Open.

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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