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 31
- Cancer Immunotherapy and Biomarkers 9
- Cancer Cells and Metastasis 6
- CAR-T cell therapy research 6
- Cancer Treatment and Pharmacology 5
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- Phosphodiesterase function and regulation 3
- Co-authors
- Xinna Zhou (34 shared papers)H. Kim Lyerly (31 shared papers)Xiaoli Wang (21 shared papers)Yanhua Yuan (15 shared papers)Guohong Song (18 shared papers)Li Che (8 shared papers)Michael A. Morse (17 shared papers)Lijun Di (19 shared papers)
- Journals
- Clinical & Translational Oncology (8 papers)The Oncologist (2 papers)Oncotarget (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)International Journal of Hyperthermia (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Jun Ren
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Oncology 524
- Immunology 401
- Cancer Research 148
- Hepatology 56
- Molecular Biology 503
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 198 | |
| 2 | 2017 | 67 | |
| 3 | 2013 | 60 | |
| 4 | 2018 | 52 | |
| 5 | 2012 | 46 | |
| 6 | 2015 | 45 | |
| 7 | 2013 | 43 | |
| 8 | 2012 | 43 | |
| 9 | 2012 | 41 | |
| 10 | 2020 | 41 | |
| 11 | 2015 | 39 | |
| 12 | 2018 | 37 | |
| 13 | 2012 | 37 | |
| 14 | 2021 | 28 | |
| 15 | 2012 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2006 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2019 | 24 | |
| 20 | 2012 | 22 |
About Jun Ren
Jun Ren is a scholar working on Oncology, Molecular Biology, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer Cells and Metastasis (6 papers), CAR-T cell therapy research (6 papers), Cancer Treatment and Pharmacology (5 papers), Scoliosis diagnosis and treatment (4 papers) and Phosphodiesterase function and regulation (3 papers). The work is most often cited by research in Oncology (524 citations), Immunology (401 citations), Cancer Research (148 citations), Hepatology (56 citations) and Molecular Biology (503 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, Li Che, Michael A. Morse, Lijun Di, Amy Hobeika and Jun Jia. Their work appears in journals such as Clinical & Translational Oncology, The Oncologist, Oncotarget, Journal of Cancer Research and Clinical Oncology and International Journal of Hyperthermia.
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.