Shanshan Cui
- Molecular Biology
- Cancer Research top 10%
- Physiology
- Surgery
- Rheumatology top 10%
- Co-authors
- Guowei HuangMaosheng ChengGaofei WeiXin LvMichael D. ThompsonBenjamin CieplyUdayan ApteSatdarshan P. Monga
- Topics
- Pain Mechanisms and Treatments (5 papers)RNA modifications and cancer (5 papers)Folate and B Vitamins Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaHepatologyChemical Communications
- Partner nations
- ChinaUnited StatesSaint Kitts and Nevis
In The Last Decade
Shanshan Cui
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 506
- Cancer Research 205
- Physiology 127
- Surgery 110
- Rheumatology 107
Countries citing papers authored by Shanshan Cui
This map shows the geographic impact of Shanshan Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Cui more than expected).
Fields of papers citing papers by Shanshan Cui
This network shows the impact of papers produced by Shanshan Cui. 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 Cui. The network helps show where Shanshan Cui may publish in the future.
Co-authorship network of co-authors of Shanshan Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Cui. A scholar is included among the top collaborators of Shanshan Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shanshan Cui. Shanshan Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | Social Support and Self-Efficacy as Mediating Factors Affecting the Association Between Depression and Medication Adherence in Older Patients with Coronary Heart Disease: A Multiple Mediator Model with a Cross-Sectional Study | 34 |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 23 | |
| 9 | 72 | |
| 10 | 37 | |
| 11 | 72 | |
| 12 | 62 | |
| 13 | 43 | |
| 14 | 23 | |
| 15 | 16 | |
| 16 | 43 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | ROLE OF PHOSPHATIDYLINOSITOL METABOLISM IN RENAL EPITHELIAL MEMBRANE TRAFFIC | 0 |
About Shanshan Cui
Shanshan Cui is a scholar working on Virology, Toxicology and Cancer Research, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), RNA modifications and cancer (5 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Cancer Research (205 citations), Hepatology (94 citations) and Molecular Biology (506 citations). Shanshan Cui has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Guowei Huang, Maosheng Cheng, Gaofei Wei, Xin Lv, Michael D. Thompson, Benjamin Cieply, Udayan Apte, Satdarshan P. Monga, Bowen Liu and Shuai Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and Chemical Communications.
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.