Jun Cai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Viral-associated cancers and disorders
Papers in
-
- Protein Degradation and Inhibitors 5
- Oncology 25
- Viral-associated cancers and disorders 5
- Cancer Cells and Metastasis 4
- Co-authors
- Xiaohong Shen (9 shared papers)Hui Wang (10 shared papers)Qingqing Cai (23 shared papers)Beibei Xin (4 shared papers)Michael E. Boulton (8 shared papers)Mengyuan Zhang (2 shared papers)Maria B. Grant (6 shared papers)Juan Wang (3 shared papers)
- Journals
- Blood (5 papers)OncoTargets and Therapy (4 papers)PLoS ONE (3 papers)Investigative Ophthalmology & Visual Science (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Cai
116 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 293
- Oncology 351
- Pathology and Forensic Medicine 227
- Geriatrics and Gerontology 39
- Molecular Biology 710
Countries citing papers authored by Jun Cai
This map shows the geographic impact of Jun Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
Fields of papers citing papers by Jun Cai
This network shows the impact of papers produced by Jun Cai. 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 Cai. The network helps show where Jun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cai, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 76 | |
| 2 | 2015 | 72 | |
| 3 | 2016 | 68 | |
| 4 | 2005 | 57 | |
| 5 | 2020 | 56 | |
| 6 | 2016 | 55 | |
| 7 | 2017 | 55 | |
| 8 | 2013 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2017 | 44 | |
| 11 | 2017 | 43 | |
| 12 | 2020 | 41 | |
| 13 | 2021 | 41 | |
| 14 | 2016 | 41 | |
| 15 | 2019 | 40 | |
| 16 | 2015 | 40 | |
| 17 | 2020 | 40 | |
| 18 | 2022 | 39 | |
| 19 | 2018 | 38 | |
| 20 | 2017 | 37 |
About Jun Cai
Jun Cai is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Immunology, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Protein Degradation and Inhibitors (5 papers), Viral-associated cancers and disorders (5 papers), Cancer Cells and Metastasis (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Cancer Research (293 citations), Oncology (351 citations), Pathology and Forensic Medicine (227 citations), Geriatrics and Gerontology (39 citations) and Molecular Biology (710 citations). Jun Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohong Shen, Hui Wang, Qingqing Cai, Beibei Xin, Michael E. Boulton, Mengyuan Zhang, Maria B. Grant, Juan Wang, Shu‐Yun Ma and Xiaoqing Li. Their work appears in journals such as Blood, OncoTargets and Therapy, PLoS ONE, Investigative Ophthalmology & Visual Science and 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.