Shuling Wang

160 papers receiving 3.3k citations

Shuling Wang's Hit Papers

Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis 2019 · 404 citations
4040+2+4Years since publication100200300400

Peers

Shuling Wang
Comparison fields: 5 of 149
  • Oncology 682
  • Developmental Neuroscience 90
  • Cancer Research 312
  • Molecular Biology 1.2k
  • Pharmacology 139
Replace Frank Thévenod with:
Frank Thévenod Germany
Yuan Chen China
Hui Zhao China
Yanchun Wang China
Ching‐Yao Yang Taiwan
Pinpin Lin Taiwan
Brian S. Cummings United States
Naoki Yoshimi Japan
Yolanda I. Chirino Mexico
Lu Yu China
Shuling Wang relative to Frank Thévenod Germany Frank Thévenod's profile →
Citations per field
00.5×1.5×2.0×
Frank Thévenod · 1×
Citations per year

Countries citing papers authored by Shuling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis
Hit paper breakdown →
2019404
2 2009158
3 2018119
4 201989
5 201284
6 201178
7 201978
8 201577
9 200975
10 201367
11 202059
12 201854
13 201552
14 202050
15 201849
16 202146
17 200843
18 201943
19 201843
20 201243

About Shuling Wang

Shuling Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pharmacology, having authored 172 papers that have together received 3.3k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (9 papers), MicroRNA in disease regulation (7 papers), Natural product bioactivities and synthesis (6 papers), RNA Research and Splicing (5 papers), Analytical chemistry methods development (5 papers), Traditional Chinese Medicine Analysis (5 papers), Curcumin's Biomedical Applications (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). The work is most often cited by research in Oncology (682 citations), Developmental Neuroscience (90 citations), Cancer Research (312 citations), Molecular Biology (1.2k citations) and Pharmacology (139 citations). Shuling Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shengbing Zhao, Zhaoshen Li, Lingsong Li, Jun Yao, Yu Bai, Xin Chang, Tian Xie, Peng Pan, Lun Gu and Zhao‐Shen Li. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis, Gastrointestinal Endoscopy, Cancer Cell International and Biomedicine & Pharmacotherapy.

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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