Danielle Ulanet
Impact in
- Physiology top 5%
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- DNA Repair Mechanisms 6
- Biochemical and Molecular Research 3
- RNA modifications and cancer 3
-
- Cancer Genomics and Diagnostics 5
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Antony Rosen (4 shared papers)Livia Casciola‐Rosen (3 shared papers)Felipe Andrade (1 shared paper)Douglas Hanahan (4 shared papers)Dale L. Ludwig (1 shared paper)C. Ronald Kahn (1 shared paper)Signe Diness Vindeløv (1 shared paper)Mesut Bilgin (1 shared paper)
- Journals
- PLoS ONE (3 papers)Blood (2 papers)npj Precision Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Danielle Ulanet
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Physiology 82
- Immunology 342
- Cancer Research 182
- Rheumatology 148
- Molecular Biology 647
Countries citing papers authored by Danielle Ulanet
This map shows the geographic impact of Danielle Ulanet'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 Ulanet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Ulanet more than expected).
Fields of papers citing papers by Danielle Ulanet
This network shows the impact of papers produced by Danielle Ulanet. 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 Ulanet. The network helps show where Danielle Ulanet may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Ulanet, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 397 | |
| 2 | 2013 | 278 | |
| 3 | 2010 | 193 | |
| 4 | 2016 | 53 | |
| 5 | 2003 | 51 | |
| 6 | 2003 | 50 | |
| 7 | 2014 | 39 | |
| 8 | 2004 | 29 | |
| 9 | 2014 | 21 | |
| 10 | 2022 | 17 | |
| 11 | 2010 | 16 | |
| 12 | 2009 | 16 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Danielle Ulanet
Danielle Ulanet is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Immunology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cancer Genomics and Diagnostics (5 papers), PARP inhibition in cancer therapy (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Biochemical and Molecular Research (3 papers), RNA modifications and cancer (3 papers), Genetic factors in colorectal cancer (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Physiology (82 citations), Immunology (342 citations), Cancer Research (182 citations), Rheumatology (148 citations) and Molecular Biology (647 citations). Danielle Ulanet has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Antony Rosen, Livia Casciola‐Rosen, Felipe Andrade, Douglas Hanahan, Dale L. Ludwig, C. Ronald Kahn, Signe Diness Vindeløv, Mesut Bilgin, Nikolaj H.T. Petersen and Tobias H. Dovmark. Their work appears in journals such as PLoS ONE, Blood, npj Precision Oncology, Proceedings of the National Academy of Sciences and Cancer Research.
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.