Danielle Carroll
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Joan S. Brugge (2 shared papers)Fang Cheng (1 shared paper)Leif W. Ellisen (1 shared paper)Chee‐Onn Leong (1 shared paper)Jason S. Carroll (1 shared paper)Alea A. Mills (1 shared paper)Myles Brown (1 shared paper)Tatiana Nikolskaya (1 shared paper)
- Journals
- Cancer Research (9 papers)Journal of Clinical Oncology (5 papers)Journal of Virology (2 papers)Molecular Cancer Therapeutics (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Danielle Carroll
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Oncology 624
- Cancer Research 231
- Immunology and Allergy 59
- Biotechnology 80
- Molecular Biology 586
Countries citing papers authored by Danielle Carroll
This map shows the geographic impact of Danielle Carroll'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 Danielle Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Carroll more than expected).
Fields of papers citing papers by Danielle Carroll
This network shows the impact of papers produced by Danielle Carroll. 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 Danielle Carroll. The network helps show where Danielle Carroll may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Carroll, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 398 | |
| 2 | 2006 | 349 | |
| 3 | 2005 | 63 | |
| 4 | 2016 | 51 | |
| 5 | 2020 | 44 | |
| 6 | 2022 | 42 | |
| 7 | 2008 | 40 | |
| 8 | 2007 | 40 | |
| 9 | 2015 | 32 | |
| 10 | 2024 | 32 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 28 | |
| 13 | 2014 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2024 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 10 |
About Danielle Carroll
Danielle Carroll is a scholar working on Oncology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), HER2/EGFR in Cancer Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virology and Viral Diseases (3 papers), interferon and immune responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Research and Treatments (3 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (624 citations), Cancer Research (231 citations), Immunology and Allergy (59 citations), Biotechnology (80 citations) and Molecular Biology (586 citations). Danielle Carroll has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joan S. Brugge, Fang Cheng, Leif W. Ellisen, Chee‐Onn Leong, Jason S. Carroll, Alea A. Mills, Myles Brown, Tatiana Nikolskaya, Stuart J. Schnitt and Rebecca Gelman. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Virology, Molecular Cancer Therapeutics and Annals of Oncology.
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.