G. Sterrett
- Cancer Research top 10%
- Breast Cancer Treatment Studies 11
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 6
- Oncology top 10%
- Global Cancer Incidence and Screening 5
-
- Occupational and environmental lung diseases 6
- Medical Imaging and Pathology Studies 4
- Dermatology top 10%
- Cancer and Skin Lesions 4
-
- AI in cancer detection 7
-
- Cervical Cancer and HPV Research 5
- Co-authors
- James HarveyPaul RobbinsNicholas de KlerkH. DawkinsSarah E. PinderC. ElstonIan O. EllisPeter Brown
- Partner nations
- AustraliaCubaPhilippines
In The Last Decade
G. Sterrett
40 papers receiving 839 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 283
- Pathology and Forensic Medicine 202
- Oncology 263
- Pulmonary and Respiratory Medicine 244
- Dermatology 45
Countries citing papers authored by G. Sterrett
This map shows the geographic impact of G. Sterrett'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 G. Sterrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sterrett more than expected).
Fields of papers citing papers by G. Sterrett
This network shows the impact of papers produced by G. Sterrett. 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 G. Sterrett. The network helps show where G. Sterrett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Sterrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 24 | |
| 2 | 2016 | 2 | |
| 3 | 2014 | 11 | |
| 4 | 2008 | 40 | |
| 5 | 2007 | 17 | |
| 6 | 2005 | 11 | |
| 7 | 2002 | 7 | |
| 8 | 1996 | 24 | |
| 9 | 1995 | 331 | |
| 10 | 1993 | 23 | |
| 11 | 1993 | 9 | |
| 12 | 1992 | 13 | |
| 13 | Hormone-regulated genes in breast cancer and non-tumoral mammary tissues | 1992 | 0 |
| 14 | 1990 | 3 | |
| 15 | 1989 | 14 | |
| 16 | 1989 | 17 | |
| 17 | 1988 | 7 | |
| 18 | 1987 | 15 | |
| 19 | 1984 | 18 | |
| 20 | 1977 | 5 |
About G. Sterrett
G. Sterrett is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Dermatology and Oral Surgery, having authored 44 papers that have together received 874 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), AI in cancer detection (7 papers), Breast Lesions and Carcinomas (6 papers), Occupational and environmental lung diseases (6 papers), Global Cancer Incidence and Screening (5 papers), Cervical Cancer and HPV Research (5 papers), Medical Imaging and Pathology Studies (4 papers) and Cancer and Skin Lesions (4 papers). The work is most often cited by research in Cancer Research (283 citations), Pathology and Forensic Medicine (202 citations), Oncology (263 citations), Pulmonary and Respiratory Medicine (244 citations) and Dermatology (45 citations). G. Sterrett has collaborated with scholars based in Australia, Cuba and Philippines. Frequent co-authors include James Harvey, Paul Robbins, Nicholas de Klerk, H. Dawkins, Sarah E. Pinder, C. Elston, Ian O. Ellis, Peter Brown, Κ.B. Shilkin and Jerzy K. Kulski. Their work appears in journals such as Pathology, The Breast, Journal of Medical Virology, Diagnostic Cytopathology and Scientific Reports.
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.