Jun Ren
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 57
- Cancer Immunotherapy and Biomarkers 17
- CAR-T cell therapy research 11
- Cancer Cells and Metastasis 10
- Cancer Treatment and Pharmacology 8
- Colorectal Cancer Treatments and Studies 6
- Immunology 29
- Immunotherapy and Immune Responses 21
- Immune Cell Function and Interaction 15
- Co-authors
- Xinna Zhou (33 shared papers)H. Kim Lyerly (31 shared papers)Xiaoli Wang (22 shared papers)Yanhua Yuan (15 shared papers)Guohong Song (17 shared papers)Kai Wang (2 shared papers)Michael A. Morse (17 shared papers)Li Che (7 shared papers)
- Journals
- Clinical & Translational Oncology (8 papers)Clinical Cancer Research (2 papers)International Journal of Hyperthermia (2 papers)Oncotarget (2 papers)OncoImmunology (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Jun Ren
81 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Oncology 674
- Immunology 472
- Cancer Research 194
- Hepatology 67
- Molecular Biology 542
Countries citing papers authored by Jun Ren
This map shows the geographic impact of Jun Ren'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 Jun Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ren more than expected).
Fields of papers citing papers by Jun Ren
This network shows the impact of papers produced by Jun Ren. 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 Jun Ren. The network helps show where Jun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ren, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 182 | |
| 2 | 2020 | 88 | |
| 3 | 2018 | 71 | |
| 4 | 2017 | 64 | |
| 5 | 2013 | 58 | |
| 6 | 2018 | 52 | |
| 7 | 2012 | 46 | |
| 8 | 2015 | 45 | |
| 9 | 2013 | 44 | |
| 10 | 2012 | 43 | |
| 11 | 2012 | 40 | |
| 12 | 2015 | 39 | |
| 13 | 2018 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2012 | 35 | |
| 16 | 2021 | 27 | |
| 17 | 2012 | 25 | |
| 18 | 2006 | 25 | |
| 19 | 2016 | 24 | |
| 20 | 2019 | 23 |
About Jun Ren
Jun Ren is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (17 papers), Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (11 papers), Cancer Cells and Metastasis (10 papers), Cancer Treatment and Pharmacology (8 papers), Colorectal Cancer Treatments and Studies (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Oncology (674 citations), Immunology (472 citations), Cancer Research (194 citations), Hepatology (67 citations) and Molecular Biology (542 citations). Jun Ren has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xinna Zhou, H. Kim Lyerly, Xiaoli Wang, Yanhua Yuan, Guohong Song, Kai Wang, Michael A. Morse, Li Che, Lijun Di and Amy Hobeika. Their work appears in journals such as Clinical & Translational Oncology, Clinical Cancer Research, International Journal of Hyperthermia, Oncotarget and OncoImmunology.
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.