Shanshan Cui

1.3k citations
48 papers · 1.1k · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

Shanshan Cui

44 papers receiving 1.1k citations

Peers

Shanshan Cui
Comparison fields: 5 of 104
  • Cancer Research 184
  • Hepatology 85
  • Rheumatology 102
  • Molecular Biology 456
  • Drug Discovery 1
Replace Kathleen M. Gilbert with:
Kathleen M. Gilbert United States
Shanshan Gao China
Asiya Seema Chida United States
Weihong Hou China
Na Fu China
Anna Zborek Poland
Feng Zhou China
Françoise Bontemps Belgium
Baofu Zhang China
Sabine A. Fuchs Netherlands
Shanshan Cui relative to Kathleen M. Gilbert United States Kathleen M. Gilbert's profile →
Citations per field
00.5×
Kathleen M. Gilbert · 1×
Citations per year

Countries citing papers authored by Shanshan Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Shanshan Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shanshan Cui Line = papers co-authored together Shanshan Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007132
2 201873
3 201872
4 201865
5 201460
6 201252
7 201947
8 201746
9 201443
10 200937
11 201837
12
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
202235
13 201432
14 201528
15 201724
16 201624
17 202024
18 201923
19 201618
20 201918

About Shanshan Cui

Shanshan Cui is a scholar working on Molecular Biology, Physiology, Cancer Research, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Folate and B Vitamins Research (4 papers), RNA modifications and cancer (4 papers), Herpesvirus Infections and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Nerve injury and regeneration (3 papers), Catalytic Alkyne Reactions (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (184 citations), Hepatology (85 citations), Rheumatology (102 citations), Molecular Biology (456 citations) and Drug Discovery (1 citation). 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, Satdarshan P. Monga, Udayan Apte, Benjamin Cieply, Bowen Liu and Yang Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Organic & Biomolecular Chemistry, Virus Genes, European Journal of Medicinal Chemistry and Neuroreport.

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.

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