Kortnye Smith
Impact in
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- Cancer Immunotherapy and Biomarkers
- Cancer survivorship and care
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- Tumors and Oncological Cases
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Colorectal Cancer Treatments and Studies 2
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- Cancer Genomics and Diagnostics 3
- Breast Cancer Treatment Studies 1
- Co-authors
- Jayesh Desai (6 shared papers)David Gyorki (1 shared paper)Smaro Lazarakis (1 shared paper)Andrew Fellowes (3 shared papers)Shahneen Sandhu (1 shared paper)Serigne Lo (1 shared paper)Michael Jefford (1 shared paper)Julia Lai‐Kwon (1 shared paper)
- Journals
- Public Health Genomics (1 paper)Journal of Cancer Survivorship (1 paper)Journal of Clinical Oncology (1 paper)Targeted Oncology (1 paper)JCO Precision Oncology (1 paper)
- Partner nations
- AustraliaSaudi Arabia
In The Last Decade
Kortnye Smith
10 papers receiving 209 citations
Peers
Comparison fields: 5 of 53
- Oncology 95
- Pathology and Forensic Medicine 38
- Dermatology 18
- Rheumatology 30
- Pulmonary and Respiratory Medicine 56
Countries citing papers authored by Kortnye Smith
This map shows the geographic impact of Kortnye Smith'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 Kortnye Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kortnye Smith more than expected).
Fields of papers citing papers by Kortnye Smith
This network shows the impact of papers produced by Kortnye Smith. 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 Kortnye Smith. The network helps show where Kortnye Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Kortnye Smith, 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 | 63 | |
| 2 | 2019 | 36 | |
| 3 | 2020 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 22 | |
| 6 | 2017 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 2 | |
| 11 | 2025 | 0 |
About Kortnye Smith
Kortnye Smith is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 210 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Ethics in Clinical Research (2 papers), Tumors and Oncological Cases (2 papers), Soft tissue tumor case studies (1 paper), Genetic Associations and Epidemiology (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Oncology (95 citations), Pathology and Forensic Medicine (38 citations), Dermatology (18 citations), Rheumatology (30 citations) and Pulmonary and Respiratory Medicine (56 citations). Kortnye Smith has collaborated with scholars based in Australia and Saudi Arabia. Frequent co-authors include Jayesh Desai, David Gyorki, Smaro Lazarakis, Andrew Fellowes, Shahneen Sandhu, Serigne Lo, Michael Jefford, Julia Lai‐Kwon, Chloe Khoo and Donna Milne. Their work appears in journals such as Public Health Genomics, Journal of Cancer Survivorship, Journal of Clinical Oncology, Targeted Oncology and JCO Precision Oncology.
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.