Meiru Zhao

23 total papers · 22.7k total citations
11 papers, 129 citations indexed

About

Meiru Zhao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meiru Zhao has authored 11 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meiru Zhao's work include Cancer Genomics and Diagnostics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Meiru Zhao is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Meiru Zhao collaborates with scholars based in China and United States. Meiru Zhao's co-authors include Nianzhi Jiao, K. Eric Wommack, Haiyuan Cai, Sijun Huang, Kui Wang, Feng Chen, Feng Chen, Xin Yi, Xiaoxing Lv and Yuting Yi and has published in prestigious journals such as Applied and Environmental Microbiology, Environmental Microbiology and BMC Genomics.

In The Last Decade

Meiru Zhao

11 papers receiving 126 citations

Author Peers

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

Author Last Decade Papers Cites
Meiru Zhao 58 54 29 18 14 11 129
Mark E. Wadsworth 146 2.5× 16 0.3× 24 0.8× 8 0.4× 15 1.1× 9 252
Aradhita Baral 176 3.0× 11 0.2× 25 0.9× 13 0.7× 12 0.9× 9 211
Mary Barter 107 1.8× 15 0.3× 25 0.9× 9 0.5× 38 2.7× 9 172
Piotr Madanecki 124 2.1× 13 0.2× 78 2.7× 9 0.5× 23 1.6× 12 232
Yan Lu 193 3.3× 20 0.4× 40 1.4× 14 0.8× 5 0.4× 11 290
S. Fuma 136 2.3× 38 0.7× 14 0.5× 4 0.2× 8 0.6× 7 185
James E. J. Bedard 112 1.9× 7 0.1× 46 1.6× 11 0.6× 22 1.6× 10 196
Olga Gewartowska 153 2.6× 11 0.2× 39 1.3× 5 0.3× 8 0.6× 14 202
Ebrahim Afyounian 141 2.4× 18 0.3× 79 2.7× 65 3.6× 26 1.9× 8 243
Martijn Vermaat 206 3.6× 15 0.3× 41 1.4× 7 0.4× 12 0.9× 9 285

Countries citing papers authored by Meiru Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Meiru Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiru Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiru Zhao. A scholar is included among the top collaborators of Meiru Zhao 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 Meiru Zhao. Meiru Zhao 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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2026