Jonathan R. Stretch
Impact in
- Oncology top 1%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Dermatology top 1%
- Cutaneous lymphoproliferative disorders research
Papers in
- Oncology 102
- Cutaneous Melanoma Detection and Management 92
- CAR-T cell therapy research 18
- Dermatology 18
- Cutaneous lymphoproliferative disorders research 14
- Co-authors
- John F. ThompsonRichard A. ScolyerRobyn P.M. SawMichael J. QuinnKerwin F. ShannonAndrew J. SpillaneLauren E. HayduStanley W. McCarthy
- Journals
- Annals of Surgical Oncology (30 papers)Journal of Clinical Oncology (10 papers)Melanoma Research (6 papers)Annals of Surgery (6 papers)Annals of Oncology (5 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Jonathan R. Stretch
117 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Oncology 2.3k
- Dermatology 438
- Biophysics 269
- Immunology and Allergy 174
- Epidemiology 887
Countries citing papers authored by Jonathan R. Stretch
This map shows the geographic impact of Jonathan R. Stretch'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 Jonathan R. Stretch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan R. Stretch more than expected).
Fields of papers citing papers by Jonathan R. Stretch
This network shows the impact of papers produced by Jonathan R. Stretch. 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 Jonathan R. Stretch. The network helps show where Jonathan R. Stretch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan R. Stretch, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 14 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 25 | |
| 16 | 2015 | 27 | |
| 17 | 2014 | 6 | |
| 18 | 2012 | 27 | |
| 19 | 2008 | 5 | |
| 20 | Current strategies for the surgical management of melanoma | 2005 | 1 |
About Jonathan R. Stretch
Jonathan R. Stretch is a scholar working on Oncology, Dermatology, Immunology and Allergy, Epidemiology and Biophysics, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (92 papers), Nonmelanoma Skin Cancer Studies (31 papers), Melanoma and MAPK Pathways (23 papers), CAR-T cell therapy research (18 papers), Cutaneous lymphoproliferative disorders research (14 papers), Optical Coherence Tomography Applications (11 papers), Immunotherapy and Immune Responses (11 papers) and AI in cancer detection (10 papers). The work is most often cited by research in Oncology (2.3k citations), Dermatology (438 citations), Biophysics (269 citations), Immunology and Allergy (174 citations) and Epidemiology (887 citations). Jonathan R. Stretch has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John F. Thompson, Richard A. Scolyer, Robyn P.M. Saw, Michael J. Quinn, Kerwin F. Shannon, Andrew J. Spillane, Lauren E. Haydu, Stanley W. McCarthy, Helen M. Shaw and Rajmohan Murali. Their work appears in journals such as Annals of Surgical Oncology, Journal of Clinical Oncology, Melanoma Research, Annals of Surgery and Annals of 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.