Mei Lü

129 total papers · 2.1k total citations
61 papers, 1.6k citations indexed

About

Mei Lü is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Mei Lü has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Mei Lü's work include Gut microbiota and health (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Prion Diseases and Protein Misfolding (5 papers). Mei Lü is often cited by papers focused on Gut microbiota and health (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Prion Diseases and Protein Misfolding (5 papers). Mei Lü collaborates with scholars based in China, United States and Canada. Mei Lü's co-authors include Pengyuan Zheng, Youcai Tang, Ping–Chang Yang, Jieli Yuan, Yong Yu, Dong‐Jun Fu, Zhenyu Sun, Simeng Liu, Miaomiao Jiang and Guiqin Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Mei Lü

56 papers receiving 1.6k citations

Hit Papers

Altered gut microbiota an... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mei Lü 832 319 249 168 163 61 1.6k
Bettina Leber 1.0k 1.2× 374 1.2× 451 1.8× 65 0.4× 277 1.7× 74 2.0k
Angela Horvath 829 1.0× 361 1.1× 374 1.5× 44 0.3× 190 1.2× 67 1.5k
Joep Grootjans 706 0.8× 341 1.1× 424 1.7× 63 0.4× 76 0.5× 40 2.3k
Fausto Sánchez‐Muñoz 770 0.9× 468 1.5× 344 1.4× 75 0.4× 73 0.4× 117 2.2k
Junli Ma 985 1.2× 350 1.1× 326 1.3× 137 0.8× 82 0.5× 62 1.9k
Xin Wang 941 1.1× 195 0.6× 249 1.0× 153 0.9× 27 0.2× 77 1.9k
Francesco S. Dioguardi 749 0.9× 282 0.9× 833 3.3× 105 0.6× 132 0.8× 68 2.2k
Yi‐Ting Lin 370 0.4× 291 0.9× 197 0.8× 203 1.2× 47 0.3× 96 1.6k
Lin Cong 583 0.7× 293 0.9× 183 0.7× 102 0.6× 26 0.2× 62 1.7k
Juan Chen 502 0.6× 239 0.7× 131 0.5× 117 0.7× 80 0.5× 94 1.5k

Countries citing papers authored by Mei Lü

Since Specialization
Citations

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

Fields of papers citing papers by Mei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Lü

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