Mi Liu

46 total papers · 476 total citations
21 papers, 375 citations indexed

About

Mi Liu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Mi Liu has authored 21 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Mi Liu's work include Viral Infections and Immunology Research (4 papers), Influenza Virus Research Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mi Liu is often cited by papers focused on Viral Infections and Immunology Research (4 papers), Influenza Virus Research Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mi Liu collaborates with scholars based in China, United States and Taiwan. Mi Liu's co-authors include Tianxin Yang, Fei Wang, Xiaohan Lu, Yumei Feng, Shu-Feng Zhou, Huazi Xu, Kailiang Zhou, Jian Xiao, Wanying Zhang and Ling Xie and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Mi Liu

19 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Mi Liu 151 147 123 87 65 21 375
Alessandro Bellis 109 0.7× 179 1.2× 101 0.8× 59 0.7× 39 0.6× 18 375
Nicholas J. Woudberg 72 0.5× 80 0.5× 98 0.8× 53 0.6× 16 0.2× 17 332
Evelyn Mendoza‐Torres 86 0.6× 103 0.7× 44 0.4× 30 0.3× 42 0.6× 32 375
Valentina Ceccarelli 92 0.6× 53 0.4× 127 1.0× 117 1.3× 30 0.5× 20 381
Oruganti Sai Satish 128 0.8× 74 0.5× 70 0.6× 86 1.0× 35 0.5× 30 409
Yavor Assyov 105 0.7× 44 0.3× 116 0.9× 101 1.2× 19 0.3× 40 426
Magdalena Woznowski 126 0.8× 102 0.7× 59 0.5× 25 0.3× 18 0.3× 18 396
Teresa H. Ramos 152 1.0× 56 0.4× 74 0.6× 92 1.1× 27 0.4× 20 337
Özlem Gürsoy Çalan 70 0.5× 83 0.6× 88 0.7× 61 0.7× 11 0.2× 22 335
A. Shino 141 0.9× 104 0.7× 73 0.6× 33 0.4× 12 0.2× 19 424

Countries citing papers authored by Mi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Liu

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