Shuling Li

2.8k citations
36 papers · 504 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Dialysis and Renal Disease Management

Papers in

    • Circular RNAs in diseases 5
    • Natural product bioactivities and synthesis 2
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 5

Shuling Li

31 papers receiving 483 citations

Peers

Shuling Li
Comparison fields: 5 of 132
  • Cancer Research 157
  • Nephrology 33
  • Molecular Biology 230
  • Information Systems 53
  • Statistical and Nonlinear Physics 27
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Shuling Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 202052
3 201547
4 200446
5 201939
6 201138
7
The potential value of miR-1 and miR-374b as biomarkers for colorectal cancer.
201538
8 201637
9 201330
10
The competing risks of death vs ESRD in Medicare beneficiaries 65+ with chronic kidney disease, CHF, and anemia
200220
11 201515
12 200812
13 201810
14 20188
15 20207
16 20097
17 20187
18 20214
19 20243
20 20103

About Shuling Li

Shuling Li is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 504 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Cognitive Computing and Networks (3 papers), Dialysis and Renal Disease Management (3 papers), Natural Compounds in Disease Treatment (2 papers), Natural product bioactivities and synthesis (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Cancer Research (157 citations), Nephrology (33 citations), Molecular Biology (230 citations), Information Systems (53 citations) and Statistical and Nonlinear Physics (27 citations). Shuling Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuehu Xu, Shangbiao Wu, Li Gong, Chun Ma, Yong Li, Xiaobing Wu, Hui Li, Zhifa Li, Lei Zhang and Nanqi Huang. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Oncology Reports, Functional & Integrative Genomics, BMC Cancer and Journal of the American Heart Association.

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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