Daniel Abate‐Daga
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Co-authors
- Marco L. Davila (3 shared papers)Steven A. Rosenberg (7 shared papers)Kedar Kirtane (1 shared paper)Christine H. Chung (1 shared paper)Hany Elmariah (1 shared paper)Zhili Zheng (6 shared papers)Richard A. Morgan (5 shared papers)María C. Ramello (8 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Blood (2 papers)Gene Therapy (2 papers)PLoS ONE (2 papers)Human Gene Therapy (2 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Daniel Abate‐Daga
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Oncology 1.1k
- Immunology 519
- Genetics 337
- Biotechnology 86
- Molecular Biology 397
Countries citing papers authored by Daniel Abate‐Daga
This map shows the geographic impact of Daniel Abate‐Daga'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 Abate‐Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Abate‐Daga more than expected).
Fields of papers citing papers by Daniel Abate‐Daga
This network shows the impact of papers produced by Daniel Abate‐Daga. 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 Abate‐Daga. The network helps show where Daniel Abate‐Daga may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Abate‐Daga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 160 | |
| 2 | 2016 | 152 | |
| 3 | 2021 | 149 | |
| 4 | 2014 | 129 | |
| 5 | 2019 | 124 | |
| 6 | 2018 | 110 | |
| 7 | 2016 | 83 | |
| 8 | 2013 | 76 | |
| 9 | 2013 | 51 | |
| 10 | 2022 | 50 | |
| 11 | 2023 | 48 | |
| 12 | 2017 | 35 | |
| 13 | 2022 | 25 | |
| 14 | 2011 | 25 | |
| 15 | 2017 | 24 | |
| 16 | 2007 | 24 | |
| 17 | 2014 | 24 | |
| 18 | 2017 | 21 | |
| 19 | 2014 | 21 | |
| 20 | 2010 | 19 |
About Daniel Abate‐Daga
Daniel Abate‐Daga is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (27 papers), Virus-based gene therapy research (16 papers), Immune Cell Function and Interaction (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Interference and Gene Delivery (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Oncology (1.1k citations), Immunology (519 citations), Genetics (337 citations), Biotechnology (86 citations) and Molecular Biology (397 citations). Daniel Abate‐Daga has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Marco L. Davila, Steven A. Rosenberg, Kedar Kirtane, Christine H. Chung, Hany Elmariah, Zhili Zheng, Richard A. Morgan, María C. Ramello, Kiran H. Lagisetty and Eric Tran. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Blood, Gene Therapy, PLoS ONE and Human Gene Therapy.
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.