Jason Cham
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Colorectal Cancer Treatments and Studies
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in ⓘ
- Oncology 15
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 7
- Pancreatic and Hepatic Oncology Research 2
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 4
- Co-authors
- Li Zhang (10 shared papers)Lawrence Fong (8 shared papers)David Y. Oh (4 shared papers)Serena S. Kwek (2 shared papers)Mark Klinger (2 shared papers)Malek Faham (2 shared papers)Nadeem A. Sheikh (4 shared papers)Munveer S. Bhangoo (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Frontiers in Oncology (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Cancer Research (2 papers)Future Oncology (1 paper)
- Partner nations
- United StatesPuerto Rico
In The Last Decade
Jason Cham
19 papers receiving 351 citations
Peers
Comparison fields: 5 of 49
- Oncology 272
- Immunology 173
- Pulmonary and Respiratory Medicine 84
- Cancer Research 32
- Transplantation 4
Countries citing papers authored by Jason Cham
This map shows the geographic impact of Jason Cham'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 Jason Cham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Cham more than expected).
Fields of papers citing papers by Jason Cham
This network shows the impact of papers produced by Jason Cham. 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 Jason Cham. The network helps show where Jason Cham may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Cham, 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 | 2016 | 173 | |
| 2 | 2016 | 50 | |
| 3 | 2021 | 32 | |
| 4 | 2017 | 22 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 0 |
About Jason Cham
Jason Cham is a scholar working on Oncology, Immunology, Modeling and Simulation, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 355 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers), Prostate Cancer Treatment and Research (4 papers), T-cell and B-cell Immunology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (272 citations), Immunology (173 citations), Pulmonary and Respiratory Medicine (84 citations), Cancer Research (32 citations) and Transplantation (4 citations). Jason Cham has collaborated with scholars based in United States and Puerto Rico. Frequent co-authors include Li Zhang, Lawrence Fong, David Y. Oh, Serena S. Kwek, Mark Klinger, Malek Faham, Nadeem A. Sheikh, Munveer S. Bhangoo, James Trager and Simon Letarte. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Journal for ImmunoTherapy of Cancer, Cancer Research and Future Oncology.
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.