Shaogui Wan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Hepatology top 5%
Papers in
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- RNA modifications and cancer 4
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- Cancer Genomics and Diagnostics 7
- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Jinliang Xing (26 shared papers)Hushan Yang (20 shared papers)Ronald E. Myers (15 shared papers)Dengke Bao (8 shared papers)Richard S. Hann (9 shared papers)Qi Yang (3 shared papers)Jing Zhao (2 shared papers)Bingshan Li (6 shared papers)
- Journals
- PLoS ONE (4 papers)European Journal of Cancer (3 papers)Cancer Science (3 papers)Cancer Chemotherapy and Pharmacology (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Shaogui Wan
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 368
- Hepatology 148
- Immunology 206
- Oncology 197
- Molecular Biology 528
Countries citing papers authored by Shaogui Wan
This map shows the geographic impact of Shaogui Wan'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 Shaogui Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaogui Wan more than expected).
Fields of papers citing papers by Shaogui Wan
This network shows the impact of papers produced by Shaogui Wan. 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 Shaogui Wan. The network helps show where Shaogui Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaogui Wan, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 183 | |
| 2 | 2022 | 112 | |
| 3 | 2018 | 85 | |
| 4 | 2016 | 73 | |
| 5 | 2012 | 72 | |
| 6 | 2012 | 69 | |
| 7 | 2020 | 54 | |
| 8 | 2013 | 53 | |
| 9 | 2012 | 47 | |
| 10 | 2019 | 38 | |
| 11 | 2014 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2011 | 32 | |
| 14 | 2011 | 31 | |
| 15 | 2014 | 30 | |
| 16 | 2014 | 28 | |
| 17 | 2013 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 23 | |
| 20 | 2017 | 23 |
About Shaogui Wan
Shaogui Wan is a scholar working on Molecular Biology, Cancer Research, Hepatology, Pulmonary and Respiratory Medicine and Oncology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Telomeres, Telomerase, and Senescence (6 papers), MicroRNA in disease regulation (5 papers), Hepatitis B Virus Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (368 citations), Hepatology (148 citations), Immunology (206 citations), Oncology (197 citations) and Molecular Biology (528 citations). Shaogui Wan has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Jinliang Xing, Hushan Yang, Ronald E. Myers, Dengke Bao, Richard S. Hann, Qi Yang, Jing Zhao, Bingshan Li, Hie‐Won Hann and Xiaoying Fu. Their work appears in journals such as PLoS ONE, European Journal of Cancer, Cancer Science, Cancer Chemotherapy and Pharmacology and Frontiers in Genetics.
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.