Junwen Shi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Heavy Metal Exposure and Toxicity
Papers in
-
- CRISPR and Genetic Engineering 2
- Circular RNAs in diseases 2
- RNA modifications and cancer 2
- Genetics 4
- Virus-based gene therapy research 2
- Co-authors
- Hong Ouyang (1 shared paper)Meng Wang (2 shared papers)Zhifang Chai (1 shared paper)Motao Zhu (1 shared paper)Yuliang Zhao (1 shared paper)Tiancheng Wang (1 shared paper)Jing Wang (1 shared paper)Haifang Wang (2 shared papers)
- Journals
- Medical dosimetry (2 papers)PLoS ONE (2 papers)Cell Death Discovery (1 paper)Journal of Nanoparticle Research (1 paper)Aging (1 paper)
- Partner nations
- ChinaTaiwanUnited Kingdom
In The Last Decade
Junwen Shi
16 papers receiving 655 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 190
- Health, Toxicology and Mutagenesis 114
- Developmental Neuroscience 27
- Materials Chemistry 245
- Nutrition and Dietetics 68
Countries citing papers authored by Junwen Shi
This map shows the geographic impact of Junwen Shi'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 Junwen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwen Shi more than expected).
Fields of papers citing papers by Junwen Shi
This network shows the impact of papers produced by Junwen Shi. 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 Junwen Shi. The network helps show where Junwen Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwen Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 320 | |
| 2 | 2013 | 114 | |
| 3 | 2014 | 101 | |
| 4 | 2019 | 32 | |
| 5 | 2024 | 26 | |
| 6 | 2017 | 24 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Junwen Shi
Junwen Shi is a scholar working on Molecular Biology, Genetics, Cancer Research, Spectroscopy and Biomedical Engineering, having authored 17 papers that have together received 671 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Virus-based gene therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers), CRISPR and Genetic Engineering (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Circular RNAs in diseases (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (190 citations), Health, Toxicology and Mutagenesis (114 citations), Developmental Neuroscience (27 citations), Materials Chemistry (245 citations) and Nutrition and Dietetics (68 citations). Junwen Shi has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Hong Ouyang, Meng Wang, Zhifang Chai, Motao Zhu, Yuliang Zhao, Tiancheng Wang, Jing Wang, Haifang Wang, Bing Wang and Yi‐Qun Gu. Their work appears in journals such as Medical dosimetry, PLoS ONE, Cell Death Discovery, Journal of Nanoparticle Research and Aging.
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.