Anna Liu

511 total citations
28 papers, 366 citations indexed

About

Anna Liu is a scholar working on Statistics and Probability, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Anna Liu has authored 28 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 10 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Anna Liu's work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and 3D Printing in Biomedical Research (5 papers). Anna Liu is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and 3D Printing in Biomedical Research (5 papers). Anna Liu collaborates with scholars based in United States, China and Bangladesh. Anna Liu's co-authors include Yuedong Wang, Todd Sulchek, Muhymin Islam, Edmund K. Waller, Alexander Alexeev, Yuedong Wang, Jian Zhang, Peng Qiu, Tiejun Tong and Robert F. Chen and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Scientific Reports.

In The Last Decade

Anna Liu

27 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Liu United States	11	140	105	74	28	28	28	366
Xiaoxia Li China	8	52 0.4×	120 1.1×	15 0.2×	46 1.6×	13 0.5×	29	349
Parvathi Haridas Australia	8	65 0.5×	114 1.1×	18 0.2×	45 1.6×	71 2.5×	11	290
Ryan J. Murphy Australia	11	49 0.3×	101 1.0×	10 0.1×	67 2.4×	88 3.1×	24	261
Kathleen P. Wilkie United States	10	25 0.2×	117 1.1×	10 0.1×	113 4.0×	17 0.6×	17	367
Michael Schwarzfischer Germany	11	101 0.7×	299 2.8×	7 0.1×	26 0.9×	36 1.3×	11	511
Esha T. Shah Australia	13	39 0.3×	216 2.1×	14 0.2×	83 3.0×	75 2.7×	32	457
F. William Townes United States	8	24 0.2×	624 5.9×	18 0.2×	18 0.6×	4 0.1×	15	730
Matthew T. Moores Australia	8	37 0.3×	78 0.7×	31 0.4×	3 0.1×	69 2.5×	21	284
Christian Tönsing Germany	6	21 0.1×	215 2.0×	15 0.2×	28 1.0×	5 0.2×	8	394

Countries citing papers authored by Anna Liu

Since Specialization

Citations

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

Fields of papers citing papers by Anna Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jian, Zaozao Chen, Anna Liu, et al.. (2023). OOCDB: A Comprehensive, Systematic, and Real-Time Organs-on-a-Chip Database. Genomics Proteomics & Bioinformatics. 21(2). 243–258. 5 indexed citations

Wang, Jiawei, Xinlong Liu, Jiang Chen, et al.. (2023). Portable nanopore-sequencing technology: Trends in development and applications. Frontiers in Microbiology. 14. 1043967–1043967. 40 indexed citations

Liu, Jinpeng, Yanhui Bi, Yong Wei, et al.. (2023). The development of a paper-based distance sensor for the detection of Pb2+ assisted with the target-responsive DNA hydrogel. Talanta. 257. 124344–124344. 13 indexed citations

Zhao, Chen, et al.. (2022). The Use of Molecular Dynamics Simulation Method to Quantitatively Evaluate the Affinity between HBV Antigen T Cell Epitope Peptides and HLA-A Molecules. International Journal of Molecular Sciences. 23(9). 4629–4629. 4 indexed citations

Jung, Kyung Oh, Ashok J. Theruvath, Hossein Nejadnik, et al.. (2022). Mechanoporation enables rapid and efficient radiolabeling of stem cells for PET imaging. Scientific Reports. 12(1). 2955–2955. 9 indexed citations

Lin, Xue, et al.. (2021). kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing. BMC Genomics. 22(1). 440–440. 4 indexed citations

Nejadnik, Hossein, Kyung Oh Jung, Ashok J. Theruvath, et al.. (2020). Instant labeling of therapeutic cells for multimodality imaging. Theranostics. 10(13). 6024–6034. 15 indexed citations

Liu, Anna, Muhymin Islam, Peng Qiu, et al.. (2018). Microfluidic generation of transient cell volume exchange for convectively driven intracellular delivery of large macromolecules. Materials Today. 21(7). 703–712. 66 indexed citations

Chiu, Chi‐Yang, Anna Liu, & Yuedong Wang. (2018). Smoothing Spline Mixed-Effects Density Models for Clustered Data. Statistica Sinica. 2 indexed citations

10.

Islam, Muhymin, Anna Liu, Wilbur A. Lam, et al.. (2017). Microfluidic Sorting of Cells by Viability Based on Differences in Cell Stiffness. Scientific Reports. 7(1). 1997–1997. 61 indexed citations

11.

Kronmal, Richard A., Anna Liu, Shuangge Ma, & Xiao‐Hua Zhou. (2011). Determination of proportionality in two-part models and analysis of Multi-Ethnic Study of Atherosclerosis (MESA). Statistics and Its Interface. 4(4). 475–487. 8 indexed citations

12.

Liu, Anna, Qin Li, & John Staudenmayer. (2010). M-type smoothing spline ANOVA for correlated data. Journal of Multivariate Analysis. 101(10). 2282–2296. 4 indexed citations

13.

Ma, Shuangge, Anna Liu, J. Jeffrey Carr, Wendy S. Post, & Richard A. Kronmal. (2010). Statistical Modeling of Agatston Score in Multi-Ethnic Study of Atherosclerosis (MESA). PLoS ONE. 5(8). e12036–e12036. 13 indexed citations

14.

Yu, Qian, Yong Q. Tian, Robert F. Chen, et al.. (2010). Functional Linear Analysis of in situ Hyperspectral Data for Assessing CDOM in Rivers. Photogrammetric Engineering & Remote Sensing. 76(10). 1147–1158. 29 indexed citations

15.

Liu, Anna, Richard A. Kronmal, Xiao‐Hua Zhou, & Shuangge Ma. (2009). Semiparametric Two-Part Models with Proportionality Constraints: Analysis of the Multi-Ethnic Study of Atherosclerosis (MESA). Magnetic Resonance Imaging Clinics of North America. 21(1). 75–96. 2 indexed citations

16.

Liu, Anna, Tiejun Tong, & Yuedong Wang. (2007). Smoothing Spline Estimation of Variance Functions. Journal of Computational and Graphical Statistics. 16(2). 312–329. 12 indexed citations

17.

Liu, Anna & Yuedong Wang. (2006). Modeling of Hormone Secretion‐Generating Mechanisms with Splines: A Pseudo‐Likelihood Approach. Biometrics. 63(1). 201–208. 4 indexed citations

18.

Liu, Anna, Wendy Meiring, & Yuedong Wang. (2005). Testing generalized linear models using smoothing spline methods. Statistica Sinica. 15(1). 11 indexed citations

19.

Liu, Anna, et al.. (2005). Detecting Pulsatile Hormone Secretions Using Nonlinear Mixed Effects Partial Spline Models. Biometrics. 62(1). 230–238. 9 indexed citations

20.

Liu, Anna & Yuedong Wang. (2004). Hypothesis testing in smoothing spline models. Journal of Statistical Computation and Simulation. 74(8). 581–597. 23 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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