Cameron J. Turtle
- Oncology top 0.1%
- CAR-T cell therapy research 136
- Immunology top 0.5%
- Immune Cell Function and Interaction 26
- Biosimilars and Bioanalytical Methods 23
- Immunotherapy and Immune Responses 23
- Hematology top 1%
- Genetics top 0.5%
- Virus-based gene therapy research 25
- Genetics top 1%
- Virus-based gene therapy research 25
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- Viral Infectious Diseases and Gene Expression in Insects 17
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- Advancements in Semiconductor Devices and Circuit Design 17
- Silicon Carbide Semiconductor Technologies 15
- Co-authors
- Stanley R. RiddellDavid G. MaloneyKevin A. HayLaïla‐Aïcha HanafiSindhu CherianDaniel LiXueyan ChenJuliane Gust
- Cited by
- OncologyImmunologyHematology
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Cameron J. Turtle
153 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Oncology 8.7k
- Immunology 3.8k
- Hematology 1000
- Genetics 2.4k
- Genetics 777
Countries citing papers authored by Cameron J. Turtle
This map shows the geographic impact of Cameron J. Turtle'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 Cameron J. Turtle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron J. Turtle more than expected).
Fields of papers citing papers by Cameron J. Turtle
This network shows the impact of papers produced by Cameron J. Turtle. 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 Cameron J. Turtle. The network helps show where Cameron J. Turtle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cameron J. Turtle, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 32 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 177 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 121 | |
| 19 | Endothelial Activation and Blood–Brain Barrier Disruption in Neurotoxicity after Adoptive Immunotherapy with CD19 CAR-T Cellsbreakdown → | 2017 | 948 |
| 20 | 2009 | 97 |
About Cameron J. Turtle
Cameron J. Turtle is a scholar working on Oncology, Immunology and Genetics, having authored 167 papers that have together received 11.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (136 papers), Immune Cell Function and Interaction (26 papers), Virus-based gene therapy research (25 papers), Biosimilars and Bioanalytical Methods (23 papers), Immunotherapy and Immune Responses (23 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers) and Silicon Carbide Semiconductor Technologies (15 papers). The work is most often cited by research in Oncology (8.7k citations), Immunology (3.8k citations) and Hematology (1000 citations). Cameron J. Turtle has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Stanley R. Riddell, David G. Maloney, Kevin A. Hay, Laïla‐Aïcha Hanafi, Sindhu Cherian, Daniel Li, Xueyan Chen, Juliane Gust, Michael Hudecek and Alexandre V. Hirayama. Their work appears in journals such as Blood, Blood Advances, Journal of Clinical Oncology, Transplantation and Cellular Therapy and Biology of Blood and Marrow Transplantation.
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.