Shanshan Wu
- Cancer Research top 2%
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 4
- Molecular Biology top 5%
- Circular RNAs in diseases 8
- RNA Interference and Gene Delivery 5
- RNA Research and Splicing 5
- Hepatology top 5%
- Genetics top 10%
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- Hepatitis B Virus Studies 8
- Liver Disease Diagnosis and Treatment 6
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Yanning LiuGuohua LouZhi ChenFan YangJing WangJin FengHua WangSongbai Liu
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shanshan Wu
58 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 961
- Molecular Biology 1.4k
- Hepatology 121
- Immunology 206
- Genetics 92
Countries citing papers authored by Shanshan Wu
This map shows the geographic impact of Shanshan Wu'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 Shanshan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Wu more than expected).
Fields of papers citing papers by Shanshan Wu
This network shows the impact of papers produced by Shanshan Wu. 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 Shanshan Wu. The network helps show where Shanshan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shanshan Wu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 9 | |
| 7 | 2021 | 9 | |
| 8 | Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma | 2020 | 2 |
| 9 | 2020 | 24 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 20 | |
| 13 | 2017 | 85 | |
| 14 | 2015 | 90 | |
| 15 | 2015 | 2 | |
| 16 | 2013 | 27 | |
| 17 | 2007 | 22 | |
| 18 | 2007 | 44 | |
| 19 | 2006 | 56 | |
| 20 | 2002 | 9 |
About Shanshan Wu
Shanshan Wu is a scholar working on Cancer Research, Hepatology and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Hepatitis B Virus Studies (8 papers), Circular RNAs in diseases (8 papers), Liver Disease Diagnosis and Treatment (6 papers), RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (961 citations), Molecular Biology (1.4k citations) and Hepatology (121 citations). Shanshan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanning Liu, Guohua Lou, Zhi Chen, Fan Yang, Jing Wang, Jin Feng, Hua Wang, Songbai Liu, Jifu Liu and Jueheng Wu. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.
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.