Jan Chu
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 14
- CAR-T cell therapy research 14
-
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Robert Chiesa (3 shared papers)Annie Etuk (2 shared papers)Rebecca Thomas (2 shared papers)Waseem Qasim (2 shared papers)Hong Zhan (1 shared paper)Giorgio Ottaviano (1 shared paper)Roland Preece (2 shared papers)Stuart Paul Adams (2 shared papers)
- Journals
- Blood (3 papers)Blood Advances (3 papers)Science Translational Medicine (2 papers)Nature Medicine (2 papers)New England Journal of Medicine (2 papers)
- Partner nations
- United KingdomGermanyQatar
In The Last Decade
Jan Chu
13 papers receiving 1.6k citations
Jan Chu's Hit Papers
Peers
Comparison fields: 5 of 47
- Oncology 1.3k
- Immunology 99
- Hematology 64
- Molecular Biology 202
- Modeling and Simulation 13
Countries citing papers authored by Jan Chu
This map shows the geographic impact of Jan Chu'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 Jan Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Chu more than expected).
Fields of papers citing papers by Jan Chu
This network shows the impact of papers produced by Jan Chu. 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 Jan Chu. The network helps show where Jan Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Chu, 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 | Enhanced CAR T cell expansion and prolonged persistence in pediatric patients with ALL treated with a low-affinity CD19 CAR Hit paper breakdown → | 2019 | 512 |
| 2 | 2020 | 306 | |
| 3 | Base-Edited CAR7 T Cells for Relapsed T-Cell Acute Lymphoblastic Leukemia Hit paper breakdown → | 2023 | 249 |
| 4 | 2021 | 228 | |
| 5 | 2022 | 150 | |
| 6 | 2023 | 59 | |
| 7 | 2022 | 42 | |
| 8 | 2019 | 29 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 11 | |
| 11 | 2025 | 11 | |
| 12 | 2022 | 4 | |
| 13 | CD19/CD22 targeting with co-transduced CAR T-cells to prevent antigen negative relapse after CAR T-cell therapy of B-ALL | 2024 | 3 |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2026 | 0 |
About Jan Chu
Jan Chu is a scholar working on Oncology, Hematology, Infectious Diseases, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Hematopoietic Stem Cell Transplantation (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Oncology (1.3k citations), Immunology (99 citations), Hematology (64 citations), Molecular Biology (202 citations) and Modeling and Simulation (13 citations). Jan Chu has collaborated with scholars based in United Kingdom, Germany and Qatar. Frequent co-authors include Robert Chiesa, Annie Etuk, Rebecca Thomas, Waseem Qasim, Hong Zhan, Giorgio Ottaviano, Roland Preece, Stuart Paul Adams, Farhatullah Syed and Kimberly Gilmour. Their work appears in journals such as Blood, Blood Advances, Science Translational Medicine, Nature Medicine and New England Journal of 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.