Yiyi Liu

1.0k total citations
11 papers, 188 citations indexed

About

Yiyi Liu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yiyi Liu has authored 11 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Cancer Research. Recurrent topics in Yiyi Liu's work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (2 papers). Yiyi Liu is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (2 papers). Yiyi Liu collaborates with scholars based in United States, China and United Kingdom. Yiyi Liu's co-authors include Jack P. Hou, Quanquan Gu, Jiawei Han, Hongyu Zhao, Jian Ma, Michelle O’Malley, Ophelia S. Venturelli, Huaming An, Susanna Seppälä and Min Lu and has published in prestigious journals such as Bioinformatics, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Yiyi Liu

11 papers receiving 183 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yiyi Liu United States 7 124 24 23 19 18 11 188
Vinod Kumar Singh India 8 133 1.1× 23 1.0× 29 1.3× 18 0.9× 14 0.8× 30 240
Cheng-Yan Kao Taiwan 11 254 2.0× 18 0.8× 22 1.0× 29 1.5× 24 1.3× 14 382
CJ Barberan United States 3 135 1.1× 13 0.5× 14 0.6× 43 2.3× 13 0.7× 4 204
Licheng Wu China 8 169 1.4× 19 0.8× 11 0.5× 24 1.3× 8 0.4× 16 216
F. Huber Germany 10 232 1.9× 23 1.0× 24 1.0× 6 0.3× 15 0.8× 20 318
Zhi Yan United States 4 174 1.4× 43 1.8× 17 0.7× 27 1.4× 49 2.7× 9 243
C. Wolfe United States 4 124 1.0× 12 0.5× 14 0.6× 52 2.7× 13 0.7× 7 208
Yixiao Zhai China 8 268 2.2× 17 0.7× 39 1.7× 21 1.1× 13 0.7× 15 341
Theofanis Karaletsos United States 7 139 1.1× 13 0.5× 15 0.7× 51 2.7× 17 0.9× 16 223
Tianming Zhou United States 7 308 2.5× 26 1.1× 34 1.5× 16 0.8× 34 1.9× 7 343

Countries citing papers authored by Yiyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yiyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyi Liu. A scholar is included among the top collaborators of Yiyi 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 Yiyi Liu. Yiyi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Liu, Yiyi, Jaron Thompson, Zhichao Zhou, et al.. (2025). Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites. Cell Systems. 16(5). 101292–101292. 2 indexed citations
2.
Liu, Yiyi, et al.. (2023). Gene expression profiling in Rosa roxburghii fruit and overexpressing RrGGP2 in tobacco and tomato indicates the key control point of AsA biosynthesis. Frontiers in Plant Science. 13. 1096493–1096493. 12 indexed citations
3.
Liu, Yiyi, et al.. (2023). Amplification-free microRNA profiling with femtomolar sensitivity on a plasmonic enhanced fluorescence nano-chip. Analytica Chimica Acta. 1280. 341870–341870. 6 indexed citations
4.
Zhuang, Zhanwei, Jie Wu, Yibin Qiu, et al.. (2023). Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs. Journal of Animal Science and Biotechnology. 14(1). 67–67. 9 indexed citations
5.
Liu, Ying, Cheng Li, Guanghui Wang, et al.. (2022). A nano-magnetic size selective cfDNA extraction platform for liquid biopsy with enhanced precision. Journal of Chromatography B. 1199. 123236–123236. 9 indexed citations
7.
Liu, Yiyi, et al.. (2021). Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes. Annual Review of Biomedical Engineering. 23(1). 169–201. 34 indexed citations
8.
Liu, Yiyi, Joshua L. Warren, & Hongyu Zhao. (2019). A hierarchical Bayesian model for single-cell clustering using RNA-sequencing data. The Annals of Applied Statistics. 13(3). 1733–1752. 3 indexed citations
9.
Liu, Yiyi & Forrest W. Crawford. (2018). Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments. Scientific Reports. 8(1). 2705–2705. 4 indexed citations
10.
Liu, Yiyi & Hongyu Zhao. (2016). Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes. Bioinformatics. 32(24). 3782–3789. 23 indexed citations
11.
Liu, Yiyi, Quanquan Gu, Jack P. Hou, Jiawei Han, & Jian Ma. (2014). A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression. BMC Bioinformatics. 15(1). 37–37. 66 indexed citations

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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