Mengya Shi

44 total papers · 503 total citations
31 papers, 338 citations indexed

About

Mengya Shi is a scholar working on Epidemiology, Molecular Biology and Plant Science. According to data from OpenAlex, Mengya Shi has authored 31 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Mengya Shi's work include Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (6 papers) and Animal Virus Infections Studies (5 papers). Mengya Shi is often cited by papers focused on Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (6 papers) and Animal Virus Infections Studies (5 papers). Mengya Shi collaborates with scholars based in China, Germany and Singapore. Mengya Shi's co-authors include Ping Wei, Peikun Wang, Teng Huang, Tianchao Wei, Meilan Mo, Lulu Lin, Haijuan Li, Weiwei Wang, Min Li and Yanli Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and International Journal of Molecular Sciences.

In The Last Decade

Mengya Shi

27 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Mengya Shi 188 111 84 55 48 31 338
Qi Wang 140 0.7× 98 0.9× 67 0.8× 78 1.4× 90 1.9× 22 324
Allan H. Levy 191 1.0× 64 0.6× 53 0.6× 60 1.1× 28 0.6× 30 400
Zongyi Bo 133 0.7× 76 0.7× 51 0.6× 108 2.0× 34 0.7× 29 311
Jenna Nichols 161 0.9× 126 1.1× 88 1.0× 69 1.3× 25 0.5× 28 376
Heitor F. Ferrari 109 0.6× 75 0.7× 37 0.4× 57 1.0× 20 0.4× 27 358
Sishun Hu 117 0.6× 117 1.1× 93 1.1× 47 0.9× 15 0.3× 33 387
Bingling Yun 249 1.3× 122 1.1× 132 1.6× 80 1.5× 16 0.3× 13 347
Peikun Wang 257 1.4× 105 0.9× 121 1.4× 71 1.3× 16 0.3× 26 335
Hazel Stewart 110 0.6× 126 1.1× 45 0.5× 41 0.7× 28 0.6× 21 362
Zhenfang Fu 92 0.5× 123 1.1× 60 0.7× 34 0.6× 15 0.3× 23 324

Countries citing papers authored by Mengya Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mengya Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengya Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mengya Shi. A scholar is included among the top collaborators of Mengya 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 Mengya Shi. Mengya 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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