Shuai Wen

2.5k citations
106 papers · 1.8k indexed · h-index 23
Topics
Tea Polyphenols and Effects (28 papers)Synthesis and biological activity (12 papers)Food Quality and Safety Studies (11 papers)

In The Last Decade

Shuai Wen

98 papers receiving 1.8k citations

Peers

Shuai Wen
Comparison fields: 5 of 107
  • Molecular Biology 830
  • Organic Chemistry 558
  • Pathology and Forensic Medicine 374
  • Food Science 224
  • Oncology 223
Replace Khushwant S. Bhullar with:
Khushwant S. Bhullar Canada
Qian Lei China
Tack‐Joong Kim South Korea
Philipp Saiko Austria
Rong Hu United States
Javadi Monisha India
Daih‐Huang Kuo Taiwan
Hong Jin Lee South Korea
Gwi Seo Hwang South Korea
Syed Musthapa Meeran India
Shuai Wen relative to Khushwant S. Bhullar Canada Khushwant S. Bhullar's profile →
Citations per field
00.5×1.5×2.2×
Khushwant S. Bhullar · 1×
Citations per year

Countries citing papers authored by Shuai Wen

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Wen. A scholar is included among the top collaborators of Shuai Wen 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 Shuai Wen. Shuai Wen 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 3
2 0
3 8
4 9
5 22
6 3
7 1
8 5
9 1
10 21
11 29
12 5
13 10
14 87
15
Antibody titer detection and expression characteristic analysis of type II tomato metacaspase S1MC7 protein in fruit.
1
16 4
17 76
18 1
19
Effects of eIF6 on the expression of pro-inflammatory mediators derived from M2 macrophages
1
20 16

About Shuai Wen

Shuai Wen is a scholar working on Biological Psychiatry, Pathology and Forensic Medicine and Biochemistry, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (28 papers), Synthesis and biological activity (12 papers) and Food Quality and Safety Studies (11 papers). The work is most often cited by research in Biochemistry (162 citations), Pathology and Forensic Medicine (374 citations) and Organic Chemistry (558 citations). Shuai Wen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shili Sun, Xingfei Lai, Ruohong Chen, Guan Wang, Jinyi Xu, Shengtao Xu, Zheying Zhu, Liang Ouyang, Lingli Sun and Wenlong Li. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

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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