Tinh-Doan Phi
Impact in
Papers in
- Oncology 14
- CAR-T cell therapy research 11
- Peptidase Inhibition and Analysis 2
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- Biosimilars and Bioanalytical Methods 4
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Cameron J. Turtle (12 shared papers)Rachel N. Steinmetz (8 shared papers)Alexandre V. Hirayama (8 shared papers)Jordan Gauthier (8 shared papers)Alyssa Sheih (8 shared papers)Stanley R. Riddell (9 shared papers)Aesha Vakil (5 shared papers)David G. Maloney (7 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (2 papers)Nature Communications (2 papers)Science Translational Medicine (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Tinh-Doan Phi
14 papers receiving 317 citations
Tinh-Doan Phi's Hit Papers
Peers
Comparison fields: 5 of 37
- Oncology 256
- Genetics 97
- Pathology and Forensic Medicine 99
- Immunology 64
- Genetics 79
Countries citing papers authored by Tinh-Doan Phi
This map shows the geographic impact of Tinh-Doan Phi'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 Tinh-Doan Phi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinh-Doan Phi more than expected).
Fields of papers citing papers by Tinh-Doan Phi
This network shows the impact of papers produced by Tinh-Doan Phi. 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 Tinh-Doan Phi. The network helps show where Tinh-Doan Phi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tinh-Doan Phi, 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 | Feasibility and efficacy of CD19-targeted CAR T cells with concurrent ibrutinib for CLL after ibrutinib failure Hit paper breakdown → | 2020 | 227 |
| 2 | 2018 | 30 | |
| 3 | 2021 | 12 | |
| 4 | 2020 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2018 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2018 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 0 |
About Tinh-Doan Phi
Tinh-Doan Phi is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Biosimilars and Bioanalytical Methods (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Peptidase Inhibition and Analysis (2 papers) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Oncology (256 citations), Genetics (97 citations), Pathology and Forensic Medicine (99 citations), Immunology (64 citations) and Genetics (79 citations). Tinh-Doan Phi has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Cameron J. Turtle, Rachel N. Steinmetz, Alexandre V. Hirayama, Jordan Gauthier, Alyssa Sheih, Stanley R. Riddell, Aesha Vakil, David G. Maloney, Kevin A. Hay and Reed M. Hawkins. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nature Communications, Science Translational Medicine and HemaSphere.
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.