Priscilla Do
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 10
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Oncology 8
- CAR-T cell therapy research 6
- Co-authors
- Kyle A. Beckwith (4 shared papers)Natarajan Muthusamy (7 shared papers)John C. Byrd (6 shared papers)Carolyn Cheney (4 shared papers)Brian M. Baker (4 shared papers)Michael A. Caligiuri (2 shared papers)Jennifer A. Woyach (2 shared papers)Amy M. Lehman (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Blood (3 papers)Molecular Immunology (2 papers)Biomacromolecules (2 papers)Cancer Research (1 paper)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Priscilla Do
17 papers receiving 453 citations
Priscilla Do's Hit Papers
Peers
Comparison fields: 5 of 57
- Genetics 211
- Immunology 231
- Pathology and Forensic Medicine 150
- Oncology 210
- Hematology 47
Countries citing papers authored by Priscilla Do
This map shows the geographic impact of Priscilla Do'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 Priscilla Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priscilla Do more than expected).
Fields of papers citing papers by Priscilla Do
This network shows the impact of papers produced by Priscilla Do. 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 Priscilla Do. The network helps show where Priscilla Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Priscilla Do, 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 | Ibrutinib treatment improves T cell number and function in CLL patients Hit paper breakdown → | 2017 | 288 |
| 2 | 2009 | 32 | |
| 3 | 2009 | 30 | |
| 4 | 2021 | 24 | |
| 5 | 2010 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2010 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 0 |
About Priscilla Do
Priscilla Do is a scholar working on Immunology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 18 papers that have together received 458 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), T-cell and B-cell Immunology (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Genetics (211 citations), Immunology (231 citations), Pathology and Forensic Medicine (150 citations), Oncology (210 citations) and Hematology (47 citations). Priscilla Do has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Kyle A. Beckwith, Natarajan Muthusamy, John C. Byrd, Carolyn Cheney, Brian M. Baker, Michael A. Caligiuri, Jennifer A. Woyach, Amy M. Lehman, Jeffrey A. Jones and Amy J. Johnson. Their work appears in journals such as The Journal of Immunology, Blood, Molecular Immunology, Biomacromolecules 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.