Dace Shugg

507 citations
16 papers · 424 · h-index 10

Impact in

  • Dermatology top 10%
    • Skin Protection and Aging
    • Cutaneous Melanoma Detection and Management
    • Global Cancer Incidence and Screening

Papers in

    • Global Cancer Incidence and Screening 7
    • Cutaneous Melanoma Detection and Management 3
    • Breast Cancer Treatment Studies 6

Dace Shugg

16 papers receiving 391 citations

Peers

Dace Shugg
Comparison fields: 5 of 51
  • Dermatology 61
  • Oncology 168
  • Endocrinology, Diabetes and Metabolism 70
  • Epidemiology 105
  • Cancer Research 45
Replace Boice Jd with:
Boice Jd United States
Caroline A. Bray United Kingdom
Patricia Kellett South Africa
C Lejeune France
Connie G. Chiu Canada
Νεκταρία Ζαγοριανάκου Greece
Amiram Fishman Israel
Chia Kee‐Seng Slovenia
Yasser El-Gohary United States
F Feuilhade France
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Citations per field
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Citations per year

Countries citing papers authored by Dace Shugg

Since Specialization
Citations

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

Fields of papers citing papers by Dace Shugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dace Shugg, 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 Dace Shugg Line = papers co-authored together Dace Shugg links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 199382
2 200076
3
Surgical management of breast cancer in Australia in 1995
199954
4 199451
5 199445
6 201132
7 199227
8 199414
9 198913
10 200210
11 19907
12 19795
13 19764
14
Breast self examination; doctors and the media.
19812
15 19801
16 20091

About Dace Shugg

Dace Shugg is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and General Health Professions, having authored 16 papers that have together received 424 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (7 papers), Breast Cancer Treatment Studies (6 papers), BRCA gene mutations in cancer (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Ferroptosis and cancer prognosis (1 paper), Global Health Care Issues (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Dermatology (61 citations), Oncology (168 citations), Endocrinology, Diabetes and Metabolism (70 citations), Epidemiology (105 citations) and Cancer Research (45 citations). Dace Shugg has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include Bill Young, Terence Dwyer, John Kaldor, You‐Gan Wang, John Burgess, T Dwyer, Leigh Blizzard, Graham G. Giles, Barry Allen and David Roder. Their work appears in journals such as The Medical Journal of Australia, International Journal of Cancer, The Journal of Clinical Endocrinology & Metabolism, Cancer Causes & Control and ANZ Journal of Surgery.

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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