Wanyu Shi

66 total papers · 937 total citations
59 papers, 734 citations indexed

About

Wanyu Shi is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Wanyu Shi has authored 59 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Immunology and 13 papers in Pharmacology. Recurrent topics in Wanyu Shi's work include Effects and risks of endocrine disrupting chemicals (11 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Wanyu Shi is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (11 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Wanyu Shi collaborates with scholars based in China and United States. Wanyu Shi's co-authors include Yongzhan Bao, Chao Han, Yuanyuan Wei, Xiuhui Zhong, Xiao Wang, Yuqing Cui, Shuying Li, Di Zhang, Tie Zhang and Ying Liu and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Chemosphere.

In The Last Decade

Wanyu Shi

58 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wanyu Shi 214 155 153 115 95 59 734
Wafaa A.M. Mohamed 120 0.6× 95 0.6× 110 0.7× 264 2.3× 50 0.5× 40 833
Haytham Ali 158 0.7× 81 0.5× 86 0.6× 165 1.4× 42 0.4× 66 858
Chao Han 258 1.2× 73 0.5× 79 0.5× 111 1.0× 54 0.6× 39 646
Yuanyuan Wei 226 1.1× 91 0.6× 81 0.5× 61 0.5× 43 0.5× 44 654
Safaa I. Khater 184 0.9× 93 0.6× 68 0.4× 173 1.5× 36 0.4× 38 802
Yavuz Selim Sağlam 138 0.6× 64 0.4× 61 0.4× 76 0.7× 51 0.5× 58 707
Gang Ye 200 0.9× 83 0.5× 37 0.2× 180 1.6× 52 0.5× 39 699
Rasha M. Saleh 146 0.7× 93 0.6× 33 0.2× 100 0.9× 60 0.6× 38 678
Ashraf Awad 106 0.5× 150 1.0× 126 0.8× 206 1.8× 20 0.2× 48 800
Asmaa K. Al‐Mokaddem 161 0.8× 51 0.3× 43 0.3× 121 1.1× 88 0.9× 47 702

Countries citing papers authored by Wanyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wanyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanyu Shi

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

All Works

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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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