Jason Cham

523 citations
17 papers · 417 · h-index 8

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 2
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Jason Cham

17 papers receiving 412 citations

Peers

Jason Cham
Comparison fields: 5 of 53
  • Oncology 286
  • Immunology 171
  • Pulmonary and Respiratory Medicine 82
  • Cancer Research 25
  • Transplantation 4
Replace Serena Zanotta with:
Serena Zanotta Italy
Gerald P. Miletello United States
Katrina Z. Kao United States
Kieran R. Adam United States
Thatcher Ross Heumann United States
Adewunmi Falohun United States
Shinya Urakawa Japan
Kosuke Hashimoto Japan
Lucía Teijeira Spain
Chloe Chia Hoey Khoo Australia
Jason Cham relative to Serena Zanotta Italy Serena Zanotta's profile →
Citations per field
00.5×1.5×
Serena Zanotta · 1×
Citations per year

Countries citing papers authored by Jason Cham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jason Cham Line = papers co-authored together Jason Cham links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016206
2 201658
3 202136
4 201728
5 202021
6 202118
7 202113
8 20209
9 20235
10 20224
11 20214
12 20244
13 20234
14 20223
15 20232
16 20221
17 20221

About Jason Cham

Jason Cham is a scholar working on Oncology, Immunology, Infectious Diseases, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 17 papers that have together received 417 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), vaccines and immunoinformatics approaches (2 papers), CAR-T cell therapy research (2 papers), Prostate Cancer Treatment and Research (2 papers), COVID-19 Clinical Research Studies (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Oncology (286 citations), Immunology (171 citations), Pulmonary and Respiratory Medicine (82 citations), Cancer Research (25 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 H. Fong, David Yoonsuk Oh, Serena S. Kwek, Mark Klinger, Malek Faham, Nadeem Anwar Sheikh, Munveer Singh Bhangoo, James B. Trager and Laura J. Nicholson. Their work appears in journals such as Frontiers in Oncology, Cancer Research, Journal for ImmunoTherapy of Cancer, BMC Bioinformatics and Frontiers in Immunology.

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.

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