Hui Shen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA modifications and cancer 15
- Cancer-related gene regulation 10
- RNA Research and Splicing 7
- Epigenetics and DNA Methylation 3
- Plant Gene Expression Analysis 3
-
- interferon and immune responses 5
- Co-authors
- Kathy Fange Liu (11 shared papers)Luis L. Escamilla‐Treviño (2 shared papers)Richard A. Dixon (2 shared papers)Xin Duan (3 shared papers)Divaker Choubey (3 shared papers)Y‐H Percival Zhang (1 shared paper)Bin Xu (1 shared paper)Bingyu Zhao (1 shared paper)
- Journals
- Nature Communications (4 papers)Journal of Biological Chemistry (3 papers)Oncotarget (2 papers)Scientific Reports (2 papers)Molecular Cell (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Shen
61 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 326
- Neurology 145
- Molecular Biology 1.2k
- Oral Surgery 97
- Immunology 266
Countries citing papers authored by Hui Shen
This map shows the geographic impact of Hui 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 Hui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Shen more than expected).
Fields of papers citing papers by Hui Shen
This network shows the impact of papers produced by Hui 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 Hui Shen. The network helps show where Hui Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 210 | |
| 2 | 2014 | 171 | |
| 3 | 2021 | 168 | |
| 4 | 2012 | 105 | |
| 5 | 2010 | 101 | |
| 6 | 2021 | 86 | |
| 7 | 2009 | 79 | |
| 8 | 2019 | 77 | |
| 9 | 2019 | 73 | |
| 10 | 2020 | 69 | |
| 11 | 2010 | 68 | |
| 12 | 2022 | 68 | |
| 13 | 2019 | 64 | |
| 14 | 2004 | 58 | |
| 15 | 2022 | 51 | |
| 16 | 2020 | 49 | |
| 17 | 2012 | 45 | |
| 18 | 2018 | 40 | |
| 19 | 2010 | 36 | |
| 20 | 2022 | 35 |
About Hui Shen
Hui Shen is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (15 papers), Cancer-related gene regulation (10 papers), RNA Research and Splicing (7 papers), interferon and immune responses (5 papers), Epigenetics and DNA Methylation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Plant Gene Expression Analysis (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Cancer Research (326 citations), Neurology (145 citations), Molecular Biology (1.2k citations), Oral Surgery (97 citations) and Immunology (266 citations). Hui Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kathy Fange Liu, Luis L. Escamilla‐Treviño, Richard A. Dixon, Xin Duan, Divaker Choubey, Y‐H Percival Zhang, Bin Xu, Bingyu Zhao, Zhengxing Shen and Noppadon Sathitsuksanoh. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Oncotarget, Scientific Reports and Molecular Cell.
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.