Shuo Feng

683 citations
56 papers · 407 indexed · h-index 12
Topics
Traditional Chinese Medicine Studies (7 papers)Cardiovascular Function and Risk Factors (6 papers)Meta-analysis and systematic reviews (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Epidemiology

In The Last Decade

Shuo Feng

54 papers receiving 402 citations

Peers

Shuo Feng
Comparison fields: 5 of 92
  • Molecular Biology 91
  • Cardiology and Cardiovascular Medicine 89
  • Surgery 57
  • Endocrinology, Diabetes and Metabolism 56
  • Complementary and alternative medicine 55
Replace Narisa Futrakul with:
Narisa Futrakul Thailand
Lin Cong China
Letian Yang China
Mariateresa Pucci Italy
Antônio Carlos Palandri Chagas Brazil
Yen‐Chun Peng Taiwan
Rui‐Xiang Zeng China
Buket Kın Tekçe Türkiye
Anca Ouatu Romania
Jun‐Ting Liou Taiwan
Shuo Feng relative to Narisa Futrakul Thailand Narisa Futrakul's profile →
Citations per field
00.5×
Narisa Futrakul · 1×
Citations per year

Countries citing papers authored by Shuo Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Feng. A scholar is included among the top collaborators of Shuo Feng 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 Shuo Feng. Shuo Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 6
6 2
7 9
8 21
9 30
10 5
11 18
12 6
13 2
14 4
15 11
16 16
17 6
18 2
19 8
20 5

About Shuo Feng

Shuo Feng is a scholar working on Complementary and alternative medicine, Statistics, Probability and Uncertainty and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 407 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Complementary and alternative medicine (55 citations), Pharmacology (39 citations) and Cardiology and Cardiovascular Medicine (89 citations). Shuo Feng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ruiyan Zhang, Bo Li, Guozhen Zhao, Bing Pang, Jing Hu, Fang He, Yuhong Guo, Po Huang, Xiao Qun Wang and Qingyu Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

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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