Jun Shen
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
Papers in
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 12
-
- Spine and Intervertebral Disc Pathology 7
- Co-authors
- Feng Jiang (12 shared papers)Jipei Liao (6 shared papers)Maria A. Guarnera (6 shared papers)Lei Yu (5 shared papers)Sanford A. Stass (4 shared papers)Yuping Mei (2 shared papers)Ruiyun Li (2 shared papers)Zhenqiu Liu (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Applied Acoustics (3 papers)Cancer Cell International (3 papers)Cell Death and Disease (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Shen
68 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 1.5k
- Molecular Biology 1.6k
- Rheumatology 124
- Pulmonary and Respiratory Medicine 239
- Oncology 195
Countries citing papers authored by Jun Shen
This map shows the geographic impact of Jun Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shen more than expected).
Fields of papers citing papers by Jun Shen
This network shows the impact of papers produced by Jun Shen. 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 Shen. The network helps show where Jun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shen, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 338 | |
| 2 | 2010 | 239 | |
| 3 | 2011 | 228 | |
| 4 | 2011 | 224 | |
| 5 | 2013 | 206 | |
| 6 | 2012 | 204 | |
| 7 | 2013 | 88 | |
| 8 | 2014 | 80 | |
| 9 | 2019 | 79 | |
| 10 | 2012 | 63 | |
| 11 | 2015 | 62 | |
| 12 | 2019 | 55 | |
| 13 | 2014 | 50 | |
| 14 | 2010 | 47 | |
| 15 | 2001 | 47 | |
| 16 | 2020 | 43 | |
| 17 | 2020 | 42 | |
| 18 | 2020 | 42 | |
| 19 | 2020 | 40 | |
| 20 | 2019 | 37 |
About Jun Shen
Jun Shen is a scholar working on Cancer Research, Pathology and Forensic Medicine, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers), Spinal Fractures and Fixation Techniques (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Ultrasound Imaging and Elastography (6 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (5 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (1.6k citations), Rheumatology (124 citations), Pulmonary and Respiratory Medicine (239 citations) and Oncology (195 citations). Jun Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Jiang, Jipei Liao, Maria A. Guarnera, Lei Yu, Sanford A. Stass, Yuping Mei, Ruiyun Li, Zhenqiu Liu, Howard Zhang and Nevins W. Todd. Their work appears in journals such as Frontiers in Oncology, Applied Acoustics, Cancer Cell International, Cell Death and Disease 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.