David Marron
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 4
- CAR-T cell therapy research 2
- Viral-associated cancers and disorders 1
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 1
- Co-authors
- Joel S. Parker (6 shared papers)Charles M. Perou (4 shared papers)Jonathan S. Serody (2 shared papers)Benjamin G. Vincent (2 shared papers)Daniel P. Hollern (2 shared papers)Xiaping He (1 shared paper)Nuo Xu (1 shared paper)Miguel Martín (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)BMC Genomics (1 paper)Journal of Clinical Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaMyanmar
In The Last Decade
David Marron
8 papers receiving 403 citations
Peers
Comparison fields: 5 of 47
- Immunology 221
- Oncology 270
- Cancer Research 96
- Pulmonary and Respiratory Medicine 81
- Molecular Biology 126
Countries citing papers authored by David Marron
This map shows the geographic impact of David Marron'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 David Marron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Marron more than expected).
Fields of papers citing papers by David Marron
This network shows the impact of papers produced by David Marron. 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 David Marron. The network helps show where David Marron may publish in the future.
Co-authors
The 25 scholars most cited alongside David Marron, 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 | 2019 | 307 | |
| 2 | 2016 | 45 | |
| 3 | 2020 | 20 | |
| 4 | 2018 | 15 | |
| 5 | 2020 | 9 | |
| 6 | 2018 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 |
About David Marron
David Marron is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Otorhinolaryngology, having authored 8 papers that have together received 404 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), CAR-T cell therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Head and Neck Cancer Studies (2 papers), MicroRNA in disease regulation (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Immunology (221 citations), Oncology (270 citations), Cancer Research (96 citations), Pulmonary and Respiratory Medicine (81 citations) and Molecular Biology (126 citations). David Marron has collaborated with scholars based in United States, South Korea and Myanmar. Frequent co-authors include Joel S. Parker, Charles M. Perou, Jonathan S. Serody, Benjamin G. Vincent, Daniel P. Hollern, Xiaping He, Nuo Xu, Miguel Martín, Sarah C. Vick and Siyao Liu. Their work appears in journals such as Clinical Cancer Research, BMC Genomics, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Bioinformatics.
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.