Yong Shen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA Interference and Gene Delivery 3
- DNA Repair Mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
-
- Cancer, Lipids, and Metabolism 3
- MicroRNA in disease regulation 3
- Co-authors
- Rena Li (1 shared paper)Rena Li (2 shared papers)Kazumi Shiosaki (2 shared papers)Ping He (2 shared papers)Yung Chang (1 shared paper)Elizabeth A. Jacobsen (1 shared paper)Thomas G. Beach (1 shared paper)Lili Zhou (5 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Oncotarget (2 papers)Cancer Letters (1 paper)Microchimica Acta (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yong Shen
28 papers receiving 929 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 230
- Neurology 79
- Molecular Biology 567
- Neurology 87
- Biochemistry 44
Countries citing papers authored by Yong Shen
This map shows the geographic impact of Yong 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 Yong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Shen more than expected).
Fields of papers citing papers by Yong Shen
This network shows the impact of papers produced by Yong 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 Yong Shen. The network helps show where Yong Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yong 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 215 | |
| 2 | 2013 | 146 | |
| 3 | 2004 | 88 | |
| 4 | 1997 | 81 | |
| 5 | 1995 | 51 | |
| 6 | 2017 | 42 | |
| 7 | 2017 | 42 | |
| 8 | 1998 | 38 | |
| 9 | 2014 | 24 | |
| 10 | 2017 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2022 | 20 | |
| 14 | PKM2 functions as a potential oncogene and is a crucial target of miR-148a and miR-326 in thyroid tumorigenesis. | 2018 | 17 |
| 15 | 2018 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2018 | 9 |
About Yong Shen
Yong Shen is a scholar working on Molecular Biology, Cancer Research, Physiology, Surgery and Neurology, having authored 32 papers that have together received 939 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Alzheimer's disease research and treatments (3 papers), Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), DNA Repair Mechanisms (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Cancer Research (230 citations), Neurology (79 citations), Molecular Biology (567 citations), Neurology (87 citations) and Biochemistry (44 citations). Yong Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Rena Li, Rena Li, Kazumi Shiosaki, Ping He, Yung Chang, Elizabeth A. Jacobsen, Thomas G. Beach, Lili Zhou, Guoxiang Liu and Jean‐Marc Taymans. Their work appears in journals such as Human Molecular Genetics, Oncotarget, Cancer Letters, Microchimica Acta and Cell Reports.
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.