Meiying Yan

90 total papers · 1.9k total citations
60 papers, 879 citations indexed

About

Meiying Yan is a scholar working on Food Science, Endocrinology and Infectious Diseases. According to data from OpenAlex, Meiying Yan has authored 60 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Food Science, 26 papers in Endocrinology and 17 papers in Infectious Diseases. Recurrent topics in Meiying Yan's work include Salmonella and Campylobacter epidemiology (32 papers), Vibrio bacteria research studies (26 papers) and Bacteriophages and microbial interactions (11 papers). Meiying Yan is often cited by papers focused on Salmonella and Campylobacter epidemiology (32 papers), Vibrio bacteria research studies (26 papers) and Bacteriophages and microbial interactions (11 papers). Meiying Yan collaborates with scholars based in China, United States and Hong Kong. Meiying Yan's co-authors include Biao Kan, Sheng Chen, Marcus Ho Yin Wong, Edward Wai‐Chi Chan, Yinduo Ji, Pengcheng Du, Dachuan Lin, Song Lin, Weili Liang and Xudong Liang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Meiying Yan

59 papers receiving 871 citations

Author Peers

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

Author Last Decade Papers Cites
Meiying Yan 431 326 239 216 204 60 879
Xiaolu Shi 345 0.8× 282 0.9× 161 0.7× 211 1.0× 199 1.0× 65 779
Dobryan M. Tracz 339 0.8× 263 0.8× 290 1.2× 322 1.5× 254 1.2× 26 971
Kuang‐Sheng Yeh 324 0.8× 245 0.8× 119 0.5× 148 0.7× 211 1.0× 50 916
Ximin Zeng 406 0.9× 185 0.6× 250 1.0× 237 1.1× 292 1.4× 47 1.0k
Taketoshi Iwata 343 0.8× 253 0.8× 242 1.0× 127 0.6× 149 0.7× 46 750
Ana Herrero-Fresno 471 1.1× 300 0.9× 315 1.3× 103 0.5× 279 1.4× 57 919
Shizhong Geng 545 1.3× 196 0.6× 106 0.4× 267 1.2× 207 1.0× 65 867
Qiuchun Li 613 1.4× 239 0.7× 149 0.6× 276 1.3× 284 1.4× 85 914
Bixia Ke 404 0.9× 307 0.9× 233 1.0× 197 0.9× 101 0.5× 52 738
Masashi Kanki 369 0.9× 221 0.7× 147 0.6× 169 0.8× 369 1.8× 37 858

Countries citing papers authored by Meiying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Meiying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiying Yan

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