Shiying Cui

2.3k citations
24 papers · 1.8k indexed · h-index 17

Impact in

  • Nephrology top 1%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Renal Diseases and Glomerulopathies 7
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 3

Shiying Cui

22 papers receiving 1.7k citations

Peers

Shiying Cui
Comparison fields: 5 of 88
  • Nephrology 436
  • Cancer Research 361
  • Molecular Biology 1.2k
  • Genetics 318
  • Reproductive Medicine 84
Replace Yingqi Teng with:
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Shiying Cui relative to Yingqi Teng United States Yingqi Teng's profile →
Citations per field
00.5×3.3×
Yingqi Teng · 1×
Citations per year

Countries citing papers authored by Shiying Cui

Since Specialization
Citations

This map shows the geographic impact of Shiying 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 Shiying Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiying Cui more than expected).

Fields of papers citing papers by Shiying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiying 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 Shiying Cui. The network helps show where Shiying Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Shiying 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 Shiying Cui Line = papers co-authored together Shiying Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202015
3
MiR-770-5p inhibits cisplatin chemoresistance in human ovarian cancer by targeting ERCC2
20161
4 20150
5 201447
6 201453
7 201316
8 201348
9 20124
10 2011114
11 2006185
12 200542
13 2004131
14 200373
15 200295
16 200283
17 200059
18 1999220
19 19983
20 199319

About Shiying Cui

Shiying Cui is a scholar working on Nephrology, Cancer Research, Molecular Biology, Reproductive Medicine and Rheumatology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal and related cancers (9 papers), MicroRNA in disease regulation (9 papers), Renal Diseases and Glomerulopathies (7 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (4 papers), Renal cell carcinoma treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Nephrology (436 citations), Cancer Research (361 citations), Molecular Biology (1.2k citations), Genetics (318 citations) and Reproductive Medicine (84 citations). Shiying Cui has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Susan E. Quaggin, Lois Schwartz, P Verroust, Søren K. Moestrup, Janet Rossant, Erik Christensen, Martin Post, Peter Igarashi, Vera Eremina and Yanfang Ding. Their work appears in journals such as Journal of the American Society of Nephrology, Oncology Reports, American Journal of Physiology-Renal Physiology, Development and Nature Medicine.

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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