Aiyi Liu

8.2k total citations · 1 hit paper
232 papers, 6.0k citations indexed

About

Aiyi Liu is a scholar working on Statistics and Probability, Molecular Biology and Genetics. According to data from OpenAlex, Aiyi Liu has authored 232 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistics and Probability, 33 papers in Molecular Biology and 32 papers in Genetics. Recurrent topics in Aiyi Liu's work include Statistical Methods in Clinical Trials (50 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (28 papers). Aiyi Liu is often cited by papers focused on Statistical Methods in Clinical Trials (50 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (28 papers). Aiyi Liu collaborates with scholars based in United States, China and Cameroon. Aiyi Liu's co-authors include Enrique F. Schisterman, Neil J. Perkins, Howard D. Bondell, Tonja R. Nansel, Albert Vexler, Leah M. Lipsky, Brian W. Whitcomb, Zhen Yan, James L. Mills and Chunling Liu and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Aiyi Liu

221 papers receiving 5.9k citations

Hit Papers

Optimal Cut-point and Its Corresponding Youden Index to D... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiyi Liu United States 40 1.5k 820 667 640 618 232 6.0k
David A. Young United Kingdom 61 3.7k 2.5× 1.2k 1.4× 397 0.6× 1.2k 1.9× 409 0.7× 266 12.2k
Gary O. Zerbe United States 44 1.5k 1.0× 508 0.6× 242 0.4× 562 0.9× 284 0.5× 117 6.2k
Paul S. Horn United States 44 1.5k 1.0× 1.0k 1.3× 268 0.4× 471 0.7× 433 0.7× 308 7.8k
Muin J. Khoury United States 39 1.8k 1.2× 428 0.5× 320 0.5× 2.4k 3.7× 914 1.5× 95 7.0k
Εvangelos Εvangelou Greece 54 1.5k 1.0× 1.2k 1.4× 176 0.3× 1.6k 2.5× 1.4k 2.3× 160 11.5k
Nikolaos A. Patsopoulos United States 29 882 0.6× 484 0.6× 194 0.3× 688 1.1× 636 1.0× 53 6.1k
Nuala A. Sheehan United Kingdom 31 1.8k 1.2× 1000 1.2× 559 0.8× 4.2k 6.5× 747 1.2× 70 8.3k
D G Altman United Kingdom 19 585 0.4× 788 1.0× 681 1.0× 276 0.4× 884 1.4× 25 7.8k
Bin Nan United States 41 661 0.4× 448 0.5× 539 0.8× 264 0.4× 466 0.8× 119 4.4k
Evangelia Ntzani Greece 31 1.7k 1.1× 738 0.9× 140 0.2× 1.4k 2.2× 787 1.3× 120 6.9k

Countries citing papers authored by Aiyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Aiyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiyi Liu

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

All Works

20 of 20 papers shown
1.
Bagh, Maria B., Tamal Sadhukhan, Satya P. Singh, et al.. (2025). Niemann Pick C1 mistargeting disrupts lysosomal cholesterol homeostasis contributing to neurodegeneration in a Batten disease model. Science Advances. 11(19). eadr5703–eadr5703. 1 indexed citations
2.
Lipsky, Leah M., Breanne N. Wright, Tzu-Chun Lin, et al.. (2024). Diet quality from early pregnancy through 1-y postpartum: a prospective cohort study. American Journal of Clinical Nutrition. 120(5). 1284–1293. 1 indexed citations
3.
Du, Pang, et al.. (2024). Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities. Statistics in Medicine. 43(7). 1372–1383. 1 indexed citations
5.
Zhang, Zhiwei, et al.. (2023). Optimizing Treatment Allocation in Randomized Clinical Trials by Leveraging Baseline Covariates. Biometrics. 79(4). 2815–2829.
6.
Zhang, Yuzhe, et al.. (2023). Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression. Statistics in Medicine. 42(20). 3616–3635. 2 indexed citations
7.
Hareendran, Sangeetha, Xu-Yu Yang, Aiyi Liu, et al.. (2022). Exosomal Carboxypeptidase E (CPE) and CPE-shRNA-Loaded Exosomes Regulate Metastatic Phenotype of Tumor Cells. International Journal of Molecular Sciences. 23(6). 3113–3113. 18 indexed citations
8.
Wander, Pandora L., Stefanie N. Hinkle, Daniel A. Enquobahrie, et al.. (2022). Cumulative Lactation and Clinical Metabolic Outcomes at Mid-Life among Women with a History of Gestational Diabetes. Nutrients. 14(3). 650–650. 3 indexed citations
9.
Halabi, Susan, et al.. (2020). Score and deviance residuals based on the full likelihood approach in survival analysis. Pharmaceutical Statistics. 19(6). 940–954. 3 indexed citations
10.
Zhang, Cuilin, Sjúrđur F. Olsen, Stefanie N. Hinkle, et al.. (2019). Diabetes & Women’s Health (DWH) Study: an observational study of long-term health consequences of gestational diabetes, their determinants and underlying mechanisms in the USA and Denmark. BMJ Open. 9(4). e025517–e025517. 31 indexed citations
11.
Purdue‐Smithe, Alexandra, Tuija Männistö, Griffith Bell, et al.. (2019). The Joint Role of Thyroid Function and Iodine Status on Risk of Preterm Birth and Small for Gestational Age: A Population-Based Nested Case-Control Study of Finnish Women. Nutrients. 11(11). 2573–2573. 11 indexed citations
12.
Zhang, Wei Emma, Aiyi Liu, Liansheng Tang, & Qizhai Li. (2019). A Cluster-Adjusted Rank-Based Test for a Clinical Trial Concerning Multiple Endpoints With Application to Dietary Intervention Assessment. Biometrics. 75(3). 821–830. 3 indexed citations
13.
Hinkle, Stefanie N., Shristi Rawal, Anne Ahrendt Bjerregaard, et al.. (2019). A prospective study of artificially sweetened beverage intake and cardiometabolic health among women at high risk. American Journal of Clinical Nutrition. 110(1). 221–232. 21 indexed citations
14.
Zhang, Wei, Liansheng Tang, Qizhai Li, Aiyi Liu, & Mei‐Ling Ting Lee. (2019). Order‐restricted inference for clustered ROC data with application to fingerprint matching accuracy. Biometrics. 76(3). 863–873. 3 indexed citations
15.
Hinkle, Stefanie N., Shristi Rawal, Louise Groth Grunnet, et al.. (2018). Lactation Duration and Long-Term Thyroid Function: A Study among Women with Gestational Diabetes. Nutrients. 10(7). 938–938. 8 indexed citations
16.
Yeung, Edwina, Aiyi Liu, James L. Mills, et al.. (2014). Increased Levels of Copeptin Before Clinical Diagnosis of Preeclampsia. Hypertension. 64(6). 1362–1367. 49 indexed citations
17.
Vexler, Albert, Chengqing Wu, Aiyi Liu, Brian W. Whitcomb, & Enrique F. Schisterman. (2008). An extension of a change-point problem. Statistics. 43(3). 213–225. 4 indexed citations
18.
Bai, Renkui, et al.. (2007). Mitochondrial Genetic Background Modifies Breast Cancer Risk. Cancer Research. 67(10). 4687–4694. 200 indexed citations
19.
Vexler, Albert, Aiyi Liu, Enrique F. Schisterman, & Chengqing Wu. (2006). Note on distribution-free estimation of maximum linear separation of two multivariate distributions. Journal of nonparametric statistics. 18(2). 145–158. 11 indexed citations
20.
Schisterman, Enrique F., Neil J. Perkins, Aiyi Liu, & Howard D. Bondell. (2004). Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samples. Epidemiology. 16(1). 73–81. 945 indexed citations breakdown →

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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