Junjun Chu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 13
- CAR-T cell therapy research 7
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 3
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- RNA modifications and cancer 3
- Gut microbiota and health 2
- Co-authors
- Rong‐Fu Wang (12 shared papers)Changsheng Xing (10 shared papers)Helen Y. Wang (10 shared papers)Tianhao Duan (7 shared papers)Qianquan Ma (2 shared papers)Wenyong Long (2 shared papers)Bingnan Yin (6 shared papers)Mei Luo (1 shared paper)
- Journals
- Oncotarget (3 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)Molecular Therapy (1 paper)Journal of Nuclear Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junjun Chu
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 278
- Oncology 239
- Immunology 188
- Molecular Biology 562
- Genetics 54
Countries citing papers authored by Junjun Chu
This map shows the geographic impact of Junjun 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 Junjun Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Chu more than expected).
Fields of papers citing papers by Junjun Chu
This network shows the impact of papers produced by Junjun 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 Junjun Chu. The network helps show where Junjun Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 175 | |
| 2 | 2021 | 122 | |
| 3 | 2018 | 114 | |
| 4 | 2021 | 91 | |
| 5 | 2015 | 78 | |
| 6 | 2015 | 57 | |
| 7 | 2018 | 51 | |
| 8 | 2017 | 47 | |
| 9 | 2019 | 43 | |
| 10 | 2018 | 42 | |
| 11 | 2022 | 36 | |
| 12 | 2022 | 28 | |
| 13 | 2024 | 27 | |
| 14 | 2020 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2021 | 21 | |
| 17 | 2015 | 19 | |
| 18 | 2017 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2022 | 13 |
About Junjun Chu
Junjun Chu is a scholar working on Oncology, Molecular Biology, Immunology, Infectious Diseases and Genetics, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Research and Treatments (3 papers), RNA modifications and cancer (3 papers), BRCA gene mutations in cancer (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (278 citations), Oncology (239 citations), Immunology (188 citations), Molecular Biology (562 citations) and Genetics (54 citations). Junjun Chu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rong‐Fu Wang, Changsheng Xing, Helen Y. Wang, Tianhao Duan, Qianquan Ma, Wenyong Long, Bingnan Yin, Mei Luo, Qing Liu and Yinghua Zhu. Their work appears in journals such as Oncotarget, Frontiers in Immunology, Nature Communications, Molecular Therapy and Journal of Nuclear 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.