Lilly Q. Yue

3.4k total citations · 1 hit paper
43 papers, 2.3k citations indexed

About

Lilly Q. Yue is a scholar working on Statistics and Probability, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Lilly Q. Yue has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 24 papers in Economics and Econometrics and 3 papers in Molecular Biology. Recurrent topics in Lilly Q. Yue's work include Statistical Methods in Clinical Trials (28 papers), Advanced Causal Inference Techniques (27 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Lilly Q. Yue is often cited by papers focused on Statistical Methods in Clinical Trials (28 papers), Advanced Causal Inference Techniques (27 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Lilly Q. Yue collaborates with scholars based in United States, Belgium and Taiwan. Lilly Q. Yue's co-authors include Gerry Gray, Thomas P. Gross, Robert M. Califf, Robert Temple, Peter Marks, Danica Marinac‐Dabic, Rachel E. Sherman, Melissa A. Robb, Jeffrey Shuren and Gerald J. Dal Pan and has published in prestigious journals such as New England Journal of Medicine, Endocrinology and Statistics in Medicine.

In The Last Decade

Lilly Q. Yue

38 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-World Evidence — What Is It and What Can It Tell Us?

2016 1.3k citations Rachel E. Sherman, Steven A. Anderson et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lilly Q. Yue United States	17	608	543	303	299	262	43	2.3k
Melissa A. Robb United States	10	348 0.6×	555 1.0×	146 0.5×	235 0.8×	212 0.8×	12	2.2k
Rachel E. Sherman United States	13	325 0.5×	524 1.0×	153 0.5×	167 0.6×	178 0.7×	18	2.1k
Hubert G.M. Leufkens Netherlands	23	198 0.3×	480 0.9×	221 0.7×	133 0.4×	325 1.2×	62	3.0k
Andrea Jorgensen United Kingdom	32	355 0.6×	279 0.5×	133 0.4×	207 0.7×	468 1.8×	107	3.7k
Hsiao‐Hui Tsou Taiwan	24	262 0.4×	240 0.4×	254 0.8×	372 1.2×	214 0.8×	80	1.8k
Xavier Kurz Netherlands	31	186 0.3×	520 1.0×	273 0.9×	281 0.9×	155 0.6×	92	3.5k
Gerry Gray United States	6	239 0.4×	341 0.6×	92 0.3×	139 0.5×	115 0.4×	9	1.4k
Larisa H. Cavallari United States	40	388 0.6×	431 0.8×	114 0.4×	171 0.6×	685 2.6×	198	5.3k
Yoshiaki Uyama Japan	22	360 0.6×	446 0.8×	215 0.7×	101 0.3×	417 1.6×	90	1.7k

Countries citing papers authored by Lilly Q. Yue

Since Specialization

Citations

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

Fields of papers citing papers by Lilly Q. Yue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lilly Q. Yue. 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 Lilly Q. Yue. The network helps show where Lilly Q. Yue may publish in the future.

Co-authorship network of co-authors of Lilly Q. Yue

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

All Works

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20 of 20 papers shown

Lu, Nelson, Chenguang Wang, Changhong Song, et al.. (2024). A propensity score‐integrated approach for leveraging external data in a randomized controlled trial with time‐to‐event endpoints. Pharmaceutical Statistics. 23(5). 645–661. 1 indexed citations

Lu, Nelson, Changhong Song, Ram C. Tiwari, et al.. (2023). Propensity score‐incorporated adaptive design approaches when incorporating real‐world data. Pharmaceutical Statistics. 23(2). 204–218.

Yue, Lilly Q., et al.. (2023). Propensity score‐based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation. Pharmaceutical Statistics. 22(4). 721–738. 6 indexed citations

Lu, Nelson, Chenguang Wang, Heng Li, et al.. (2021). Propensity score-integrated power prior approach for augmenting the control arm of a randomized controlled trial by incorporating multiple external data sources. Journal of Biopharmaceutical Statistics. 32(1). 158–169. 14 indexed citations

Li, Heng, Wei-Chen Chen, Chenguang Wang, et al.. (2021). Augmenting Both Arms of a Randomized Controlled Trial Using External Data: An Application of the Propensity Score-Integrated Approaches. Statistics in Biosciences. 14(1). 79–89. 11 indexed citations

Chen, Wei-Chen, Heng Li, Chenguang Wang, et al.. (2021). Evaluation of diagnostic tests for low prevalence diseases: a statistical approach for leveraging real-world data to accelerate the study. Journal of Biopharmaceutical Statistics. 31(3). 375–390. 6 indexed citations

Lu, Nelson, Chenguang Wang, Wei-Chen Chen, et al.. (2021). Leverage multiple real-world data sources in single-arm medical device clinical studies. Journal of Biopharmaceutical Statistics. 32(1). 107–123. 6 indexed citations

Chen, Wei-Chen, Chenguang Wang, Heng Li, et al.. (2020). Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data. Journal of Biopharmaceutical Statistics. 30(3). 508–520. 37 indexed citations

Xu, Yunling, Nelson Lu, Lilly Q. Yue, & Ram C. Tiwari. (2020). A Study Design for Augmenting the Control Group in a Randomized Controlled Trial: A Quality Process for Interaction Among Stakeholders. Therapeutic Innovation & Regulatory Science. 54(2). 269–274. 10 indexed citations

10.

Wang, Chenguang, Heng Li, Wei-Chen Chen, et al.. (2019). Propensity score-integrated power prior approach for incorporating real-world evidence in single-arm clinical studies. Journal of Biopharmaceutical Statistics. 29(5). 731–748. 76 indexed citations

11.

Ahn, Chul, Li Dong, Heng Li, et al.. (2019). Homogeneity assessment for pivotal medical device clinical studies. Journal of Biopharmaceutical Statistics. 29(5). 749–759.

12.

Wang, Chenguang, Nelson Lu, Wei-Chen Chen, et al.. (2019). Propensity score-integrated composite likelihood approach for incorporating real-world evidence in single-arm clinical studies. Journal of Biopharmaceutical Statistics. 30(3). 495–507. 26 indexed citations

13.

Yue, Lilly Q., et al.. (2018). Sample Size Determination. 1 indexed citations

14.

Yue, Lilly Q.. (2018). Leveraging Real-World Evidence Derived from Patient Registries for Premarket Medical Device Regulatory Decision-Making. Statistics in Biopharmaceutical Research. 10(2). 98–103. 7 indexed citations

15.

Liu, Aiyi & Lilly Q. Yue. (2016). A conversation with Dr. Greg Campbell. Journal of Biopharmaceutical Statistics. 26(6). 1007–1019.

16.

Sherman, Rachel E., Steven A. Anderson, Gerald J. Dal Pan, et al.. (2016). Real-World Evidence — What Is It and What Can It Tell Us?. New England Journal of Medicine. 375(23). 2293–2297. 1309 indexed citations breakdown →

17.

Campbell, Gregory & Lilly Q. Yue. (2015). Statistical innovations in the medical device world sparked by the FDA. Journal of Biopharmaceutical Statistics. 26(1). 3–16. 20 indexed citations

18.

Levenson, Mark & Lilly Q. Yue. (2013). Regulatory Issues of Propensity Score Methodology Application to Drug and Device Safety Studies. Journal of Biopharmaceutical Statistics. 23(1). 110–121. 12 indexed citations

19.

Muniyappa, Ranganath, Hui Chen, Radhika Muzumdar, et al.. (2009). Comparison between surrogate indexes of insulin sensitivity/resistance and hyperinsulinemic euglycemic clamp estimates in rats. American Journal of Physiology-Endocrinology and Metabolism. 297(5). E1023–E1029. 156 indexed citations

20.

Lee, Sihoon, Ranganath Muniyappa, Yan Xu, et al.. (2007). Comparison between surrogate indexes of insulin sensitivity and resistance and hyperinsulinemic euglycemic clamp estimates in mice. American Journal of Physiology-Endocrinology and Metabolism. 294(2). E261–E270. 129 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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