Lilly Q. Yue

3.4k citations
43 papers · 2.3k indexed · 1 hit paper · h-index 17
Topics
Statistical Methods in Clinical Trials (28 papers)Advanced Causal Inference Techniques (27 papers)Health Systems, Economic Evaluations, Quality of Life (24 papers)

In The Last Decade

Lilly Q. Yue

38 papers receiving 2.2k citations

Hit Papers

Real-World Evidence — What Is It and What Can It Tell Us?201620262019202220164008001.2k

Peers

Lilly Q. Yue
Comparison fields: 5 of 141
  • Statistics and Probability 608
  • Economics and Econometrics 543
  • Physiology 303
  • Epidemiology 299
  • Molecular Biology 262
Replace Xavier Kurz with:
Xavier Kurz Netherlands
Robert F. Reynolds United States
Karen Chiswell United States
Nina P. Paynter United States
Jessica Chubak United States
Yves Rosenberg United States
Gerry Gray United States
Rachel E. Sherman United States
Melissa A. Robb United States
Lilly Q. Yue relative to Xavier Kurz Netherlands Xavier Kurz's profile →
Citations per field
00.5×3.3×
Xavier Kurz · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 11
5 14
6 6
7 6
8 10
9 37
10 76
11 26
12 0
13 7
14 1
15
Real-World Evidence — What Is It and What Can It Tell Us?breakdown →
1309
16 0
17 20
18 156
19 129
20 4

About Lilly Q. Yue

Lilly Q. Yue is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistics and Probability (608 citations), Health Informatics (32 citations) and Economics and Econometrics (543 citations). Lilly Q. Yue has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Gerry Gray, Melissa A. Robb, Robert Temple, Jeffrey Shuren, Thomas P. Gross, Janet Woodcock, Lisa M. LaVange, Steven A. Anderson, Rachel E. Sherman and Robert M. Califf. Their work appears in journals such as New England Journal of Medicine, Endocrinology and Statistics in Medicine.

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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