Jonathan Chee

1.6k citations
40 papers · 1.2k · h-index 18

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 11
    • T-cell and B-cell Immunology 4
    • Cancer Immunotherapy and Biomarkers 16
    • CAR-T cell therapy research 6

Jonathan Chee

40 papers receiving 1.2k citations

Peers

Jonathan Chee
Comparison fields: 5 of 86
  • Immunology 571
  • Oncology 342
  • Genetics 234
  • Endocrinology, Diabetes and Metabolism 88
  • Molecular Biology 314
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Jonathan Chee relative to Wendy Waegell United States Wendy Waegell's profile →
Citations per field
00.5×2×4×6×7.5×
Wendy Waegell · 1×
Citations per year

Countries citing papers authored by Jonathan Chee

Since Specialization
Citations

This map shows the geographic impact of Jonathan Chee'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 Jonathan Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Chee more than expected).

Fields of papers citing papers by Jonathan Chee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Chee. 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 Jonathan Chee. The network helps show where Jonathan Chee may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Chee, 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 Jonathan Chee Line = papers co-authored together Jonathan Chee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016180
2 2015167
3 2016130
4 202067
5 201257
6 202052
7 202149
8 201343
9 201639
10 201137
11 202137
12 201835
13 202129
14 201225
15 201125
16 202121
17 201620
18 201918
19 202216
20 201916

About Jonathan Chee

Jonathan Chee is a scholar working on Immunology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Immune Cell Function and Interaction (13 papers), Diabetes and associated disorders (12 papers), Immunotherapy and Immune Responses (11 papers), Pancreatic function and diabetes (8 papers), CAR-T cell therapy research (6 papers), Diabetes Management and Research (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (571 citations), Oncology (342 citations), Genetics (234 citations), Endocrinology, Diabetes and Metabolism (88 citations) and Molecular Biology (314 citations). Jonathan Chee has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Thomas W. H. Kay, Balasubramanian Krishnamurthy, Helen E. Thomas, Kate L. Graham, John D. MacMicking, Anna K. Nowak, Gaurang Jhala, Claudia Selck, Richard Lake and Prerak Trivedi. Their work appears in journals such as OncoImmunology, Frontiers in Immunology, Diabetes, Nature Immunology and Cell Reports.

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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