Denise E. Sabatino
- Genetics top 0.5%
- Molecular Biology top 5%
- Oncology top 5%
- Hematology top 2%
- Infectious Diseases top 5%
- Co-authors
- Katherine A. HighDaniel J. HuiFederico MingozziValder R. ArrudaGlenn F. PierceHaiyan JiangTimothy C. NicholsElizabeth P. Merricks
- Topics
- Virus-based gene therapy research (33 papers)Hemophilia Treatment and Research (22 papers)CAR-T cell therapy research (14 papers)
- Cited by
- GeneticsHematologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Denise E. Sabatino
53 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 1.8k
- Molecular Biology 1.8k
- Oncology 739
- Hematology 526
- Infectious Diseases 279
Countries citing papers authored by Denise E. Sabatino
This map shows the geographic impact of Denise E. Sabatino'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 Denise E. Sabatino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise E. Sabatino more than expected).
Fields of papers citing papers by Denise E. Sabatino
This network shows the impact of papers produced by Denise E. Sabatino. 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 Denise E. Sabatino. The network helps show where Denise E. Sabatino may publish in the future.
Co-authorship network of co-authors of Denise E. Sabatino
This figure shows the co-authorship network connecting the top 25 collaborators of Denise E. Sabatino. A scholar is included among the top collaborators of Denise E. Sabatino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denise E. Sabatino. Denise E. Sabatino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | Evaluating the state of the science for adeno-associated virus integration: An integrated perspectivebreakdown → | 128 |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 151 | |
| 7 | A long-term study of AAV gene therapy in dogs with hemophilia A identifies clonal expansions of transduced liver cellsbreakdown → | 295 |
| 8 | 24 | |
| 9 | 64 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 50 | |
| 14 | 83 | |
| 15 | CD8+ T-cell responses to adeno-associated virus capsid in humansbreakdown → | 573 |
| 16 | 83 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | 50 | |
| 20 | 52 |
About Denise E. Sabatino
Denise E. Sabatino is a scholar working on Hematology, Genetics and Oncology, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (33 papers), Hemophilia Treatment and Research (22 papers) and CAR-T cell therapy research (14 papers). The work is most often cited by research in Genetics (1.8k citations), Hematology (526 citations) and Oncology (739 citations). Denise E. Sabatino has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Katherine A. High, Daniel J. Hui, Federico Mingozzi, Valder R. Arruda, Glenn F. Pierce, Haiyan Jiang, Timothy C. Nichols, Elizabeth P. Merricks, Samuel L. Murphy and Hildegund C.J. Ertl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.