Junyun Lai
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
- Oncology 14
- CAR-T cell therapy research 7
- Viral-associated cancers and disorders 4
- Cancer Immunotherapy and Biomarkers 3
- Immunology 10
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- Co-authors
- Paul A. Beavis (9 shared papers)Phillip K. Darcy (7 shared papers)Imran G. House (7 shared papers)Sherly Mardiana (6 shared papers)Melissa A. Henderson (5 shared papers)Emma V. Petley (5 shared papers)Kevin Sek (5 shared papers)Lauren Giuffrida (5 shared papers)
- Journals
- Scientific Reports (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)Blood (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Junyun Lai
16 papers receiving 1.3k citations
Junyun Lai's Hit Papers
Peers
Comparison fields: 5 of 73
- Oncology 797
- Immunology 644
- Physiology 38
- Genetics 126
- Molecular Biology 303
Countries citing papers authored by Junyun Lai
This map shows the geographic impact of Junyun Lai'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 Junyun Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyun Lai more than expected).
Fields of papers citing papers by Junyun Lai
This network shows the impact of papers produced by Junyun Lai. 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 Junyun Lai. The network helps show where Junyun Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyun Lai, 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 | Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade Hit paper breakdown → | 2019 | 442 |
| 2 | 2021 | 170 | |
| 3 | 2020 | 165 | |
| 4 | 2021 | 160 | |
| 5 | 2020 | 78 | |
| 6 | 2013 | 53 | |
| 7 | 2018 | 51 | |
| 8 | 2023 | 44 | |
| 9 | 2023 | 24 | |
| 10 | 2013 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 1 |
About Junyun Lai
Junyun Lai is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers), Viral-associated cancers and disorders (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Virus-based gene therapy research (3 papers), Nanowire Synthesis and Applications (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (797 citations), Immunology (644 citations), Physiology (38 citations), Genetics (126 citations) and Molecular Biology (303 citations). Junyun Lai has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Paul A. Beavis, Phillip K. Darcy, Imran G. House, Sherly Mardiana, Melissa A. Henderson, Emma V. Petley, Kevin Sek, Lauren Giuffrida, Kirsten L. Todd and Amanda X. Y. Chen. Their work appears in journals such as Scientific Reports, Nature Communications, Clinical Cancer Research, Blood and Cell Reports 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.