Melissa C. Southey
- Genetics top 0.2%
- Molecular Biology top 2%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- John L. HopperGraham G. GilesDeon J. VenterGillian S. DiteDallas R. EnglishMark A. JenkinsMargaret McCredieRoger L. Milne
- Topics
- BRCA gene mutations in cancer (109 papers)Epigenetics and DNA Methylation (72 papers)Cancer Genomics and Diagnostics (61 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Melissa C. Southey
305 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Genetics 4.2k
- Molecular Biology 3.9k
- Oncology 2.8k
- Cancer Research 2.5k
- Pathology and Forensic Medicine 2.0k
Countries citing papers authored by Melissa C. Southey
This map shows the geographic impact of Melissa C. Southey'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 Melissa C. Southey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa C. Southey more than expected).
Fields of papers citing papers by Melissa C. Southey
This network shows the impact of papers produced by Melissa C. Southey. 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 Melissa C. Southey. The network helps show where Melissa C. Southey may publish in the future.
Co-authorship network of co-authors of Melissa C. Southey
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa C. Southey. A scholar is included among the top collaborators of Melissa C. Southey 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 Melissa C. Southey. Melissa C. Southey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 47 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 55 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 29 | |
| 18 | 6 | |
| 19 | 120 | |
| 20 | Overexpression of the steroid receptor coactivator AIB1 in breast cancer correlates with the absence of estrogen and progesterone receptors and positivity for p53 and HER2/neu. | 161 |
About Melissa C. Southey
Melissa C. Southey is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 318 papers that have together received 10.0k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (109 papers), Epigenetics and DNA Methylation (72 papers) and Cancer Genomics and Diagnostics (61 papers). The work is most often cited by research in Cancer Research (2.5k citations), Genetics (4.2k citations) and Pathology and Forensic Medicine (2.0k citations). Melissa C. Southey has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John L. Hopper, Graham G. Giles, Deon J. Venter, Gillian S. Dite, Dallas R. English, Mark A. Jenkins, Margaret McCredie, Roger L. Milne, Ee Ming Wong and Gianluca Severi. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Nature Genetics.
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.