Kyle R. Cron
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- interferon and immune responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
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- Ubiquitin and proteasome pathways 3
- DNA Repair Mechanisms 2
- Co-authors
- Yang Pu (1 shared paper)Hairong Xu (1 shared paper)Hua Peng (1 shared paper)Liufu Deng (1 shared paper)William A. Frazier (1 shared paper)Meng Xu (1 shared paper)Xiaojuan Liu (1 shared paper)Yang‐Xin Fu (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Nature Medicine (1 paper)American Journal Of Pathology (1 paper)Cancer Biology & Therapy (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Kyle R. Cron
8 papers receiving 798 citations
Kyle R. Cron's Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 569
- Oncology 281
- Cancer Research 46
- Molecular Biology 210
- Physiology 61
Countries citing papers authored by Kyle R. Cron
This map shows the geographic impact of Kyle R. Cron'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 Kyle R. Cron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle R. Cron more than expected).
Fields of papers citing papers by Kyle R. Cron
This network shows the impact of papers produced by Kyle R. Cron. 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 Kyle R. Cron. The network helps show where Kyle R. Cron may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle R. Cron, 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 | CD47 blockade triggers T cell–mediated destruction of immunogenic tumors Hit paper breakdown → | 2015 | 624 |
| 2 | 2013 | 103 | |
| 3 | 2013 | 46 | |
| 4 | 2015 | 31 | |
| 5 | 2013 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 1 | |
| 9 | Treatment with tocilizumab does not inhibit induction of anti-COVID-19 antibodies in patients with severe SARS-CoV-2 infection | 2020 | 0 |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Kyle R. Cron
Kyle R. Cron is a scholar working on Oncology, Molecular Biology, Biotechnology, Immunology and Infectious Diseases, having authored 11 papers that have together received 809 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Cancer Research and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), DNA Repair Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (569 citations), Oncology (281 citations), Cancer Research (46 citations), Molecular Biology (210 citations) and Physiology (61 citations). Kyle R. Cron has collaborated with scholars based in United States and China. Frequent co-authors include Yang Pu, Hairong Xu, Hua Peng, Liufu Deng, William A. Frazier, Meng Xu, Xiaojuan Liu, Yang‐Xin Fu, Justin Kline and Scott A. Gerber. Their work appears in journals such as Clinical Cancer Research, Nature Medicine, American Journal Of Pathology, Cancer Biology & Therapy and PLoS ONE.
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.