Dane Cheasley

995 citations
19 papers · 286 · h-index 11

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

Dane Cheasley

17 papers receiving 284 citations

Peers

Dane Cheasley
Comparison fields: 5 of 48
  • Cancer Research 71
  • Oncology 107
  • Pathology and Forensic Medicine 42
  • Reproductive Medicine 19
  • Molecular Biology 140
Replace Emmanuelle Barouk-Simonet with:
Emmanuelle Barouk-Simonet France
Svenja Wagener‐Ryczek Germany
Dmitry E. Matsko Russia
Simona Agata Italy
Miyuki Kurai Japan
Josep Maria de Anta Spain
Hayley E. Spendlove United States
Sarah E. Powers United States
Alison D. Clark United States
Stephen Pochebit United States
Dane Cheasley relative to Emmanuelle Barouk-Simonet France Emmanuelle Barouk-Simonet's profile →
Citations per field
00.5×1.7×
Emmanuelle Barouk-Simonet · 1×
Citations per year

Countries citing papers authored by Dane Cheasley

Since Specialization
Citations

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

Fields of papers citing papers by Dane Cheasley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201155
2 201149
3 201325
4 201824
5 201923
6 201519
7 202215
8 201514
9 202014
10 201414
11 202113
12 20206
13 20245
14 20215
15 20182
16 20242
17 20181
18 20250
19 20260

About Dane Cheasley

Dane Cheasley is a scholar working on Oncology, Molecular Biology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 19 papers that have together received 286 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Digestive system and related health (2 papers), Breast Cancer Treatment Studies (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (71 citations), Oncology (107 citations), Pathology and Forensic Medicine (42 citations), Reproductive Medicine (19 citations) and Molecular Biology (140 citations). Dane Cheasley has collaborated with scholars based in Australia, Canada and France. Frequent co-authors include Robert G. Ramsay, Jordane Malaterre, Lloyd Pereira, Elizabeth Vincan, Shienny Sampurno, Ian Campbell, Kylie L. Gorringe, Ryan Cross, Yvette Drabsch and Robin L. Anderson. Their work appears in journals such as npj Breast Cancer, npj Genomic Medicine, npj Precision Oncology, Oncogene and JNCI Journal of the National Cancer Institute.

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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