Daniel T. Harris
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Oncology 8
- CAR-T cell therapy research 8
- Co-authors
- David M. Kranz (9 shared papers)Jennifer D. Stone (4 shared papers)Sheena N. Smith (3 shared papers)Qi Cai (2 shared papers)Omer Dushek (1 shared paper)Philipp Krüger (1 shared paper)Thomas M. Schmitt (1 shared paper)Philip D. Greenberg (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)JNCI Journal of the National Cancer Institute (1 paper)Journal of Virology (1 paper)Journal of Biological Chemistry (1 paper)Current Opinion in Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Daniel T. Harris
13 papers receiving 574 citations
Peers
Comparison fields: 5 of 42
- Oncology 461
- Immunology 309
- Genetics 122
- Radiology, Nuclear Medicine and Imaging 75
- Biomedical Engineering 122
Countries citing papers authored by Daniel T. Harris
This map shows the geographic impact of Daniel T. Harris'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 Daniel T. Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Harris more than expected).
Fields of papers citing papers by Daniel T. Harris
This network shows the impact of papers produced by Daniel T. Harris. 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 Daniel T. Harris. The network helps show where Daniel T. Harris may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Harris, 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 | 2015 | 203 | |
| 2 | 2017 | 136 | |
| 3 | 2015 | 89 | |
| 4 | 2016 | 37 | |
| 5 | 2014 | 34 | |
| 6 | 2016 | 22 | |
| 7 | 2015 | 16 | |
| 8 | 1980 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2012 | 8 | |
| 12 | 1984 | 7 | |
| 13 | 1981 | 4 |
About Daniel T. Harris
Daniel T. Harris is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Virology, having authored 13 papers that have together received 586 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Virus-based gene therapy research (3 papers), Poxvirus research and outbreaks (2 papers), Immunotherapy and Immune Responses (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Oncology (461 citations), Immunology (309 citations), Genetics (122 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Biomedical Engineering (122 citations). Daniel T. Harris has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include David M. Kranz, Jennifer D. Stone, Sheena N. Smith, Qi Cai, Omer Dushek, Philipp Krüger, Thomas M. Schmitt, Philip D. Greenberg, Melissa Lever and Marlies V. Hager. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute, Journal of Virology, Journal of Biological Chemistry and Current Opinion in Immunology.
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.