Meng Liang

117 total papers · 2.7k total citations
88 papers, 2.1k citations indexed

About

Meng Liang is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Meng Liang has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Cancer Research and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Meng Liang's work include Cancer-related molecular mechanisms research (18 papers), Circular RNAs in diseases (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Meng Liang is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Circular RNAs in diseases (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Meng Liang collaborates with scholars based in China, United States and Botswana. Meng Liang's co-authors include Fei Sun, Guidong Yao, Ke Hu, Mianmian Yin, Hui Tian, Jie Lian, Xiaohong Ma, Chaofan He, Binling Zhu and Huanghao Yang and has published in prestigious journals such as Journal of Biological Chemistry, Nano Letters and Chemistry of Materials.

In The Last Decade

Meng Liang

83 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Meng Liang 800 750 382 290 231 88 2.1k
Nicholas H. A. Terry 853 1.1× 454 0.6× 449 1.2× 136 0.5× 647 2.8× 90 2.3k
Gerald J. Mizejewski 1.3k 1.6× 334 0.4× 232 0.6× 80 0.3× 589 2.5× 120 2.6k
Tung Nguyen 861 1.1× 534 0.7× 216 0.6× 79 0.3× 258 1.1× 75 1.9k
Kristina W. Thiel 1.7k 2.1× 464 0.6× 159 0.4× 188 0.6× 535 2.3× 63 2.6k
Rongrong Wu 1.1k 1.3× 355 0.5× 161 0.4× 224 0.8× 223 1.0× 105 2.5k
Guoliang Wang 744 0.9× 198 0.3× 162 0.4× 135 0.5× 352 1.5× 148 2.0k
Thomas T. Andersen 1.0k 1.3× 232 0.3× 175 0.5× 421 1.5× 273 1.2× 95 2.9k
Tinghe Yu 699 0.9× 270 0.4× 197 0.5× 722 2.5× 275 1.2× 81 1.8k
Chiara Brignole 1.4k 1.8× 422 0.6× 170 0.4× 396 1.4× 502 2.2× 55 2.7k
J. Schneider 1.4k 1.7× 549 0.7× 121 0.3× 167 0.6× 710 3.1× 109 3.0k

Countries citing papers authored by Meng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Liang

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