Lucy L. Gao

916 total citations
13 papers, 172 citations indexed

About

Lucy L. Gao is a scholar working on Statistics and Probability, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Lucy L. Gao has authored 13 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Molecular Biology and 3 papers in Management Science and Operations Research. Recurrent topics in Lucy L. Gao's work include Single-cell and spatial transcriptomics (3 papers), Statistical Methods and Inference (3 papers) and Optimal Experimental Design Methods (3 papers). Lucy L. Gao is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Statistical Methods and Inference (3 papers) and Optimal Experimental Design Methods (3 papers). Lucy L. Gao collaborates with scholars based in Canada, United States and Hong Kong. Lucy L. Gao's co-authors include Daniela Witten, Jacob Bien, Julie Zhou, Michael Völk, John C. Bucuvalas, Jennifer C. Lai, Evelyn Hsu, Michele L. Shaffer, Christopher J. Sonnenday and Alexis Battle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Gastroenterology.

In The Last Decade

Lucy L. Gao

11 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucy L. Gao Canada 7 50 44 37 32 25 13 172
Brenden K. Petersen United States 7 29 0.6× 4 0.1× 12 0.3× 5 0.2× 8 0.3× 15 126
Joshua Pantanowitz United States 8 27 0.5× 18 0.4× 5 0.1× 4 0.1× 17 289
Salvatore D. Tomarchio Italy 10 24 0.5× 14 0.3× 6 0.2× 10 0.3× 79 3.2× 46 254
Kees van Bochove Netherlands 6 77 1.5× 37 0.8× 16 0.5× 14 209
Yingcheng Sun United States 9 50 1.0× 25 0.6× 4 0.1× 13 0.5× 27 241
Mitra Montazeri Iran 7 44 0.9× 4 0.1× 3 0.1× 6 0.2× 7 0.3× 20 254
Zhuang Ma China 6 78 1.6× 8 0.2× 8 0.3× 18 0.7× 26 223
J. Garrett Morris United States 10 20 0.4× 38 0.9× 19 0.5× 35 217
Zhiyi Song United States 11 47 0.9× 15 0.3× 27 0.7× 40 1.3× 22 473
Seung-Ho Kang South Korea 10 25 0.5× 6 0.1× 1 0.0× 82 2.6× 139 5.6× 37 265

Countries citing papers authored by Lucy L. Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lucy L. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucy L. Gao. 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 Lucy L. Gao. The network helps show where Lucy L. Gao may publish in the future.

Co-authorship network of co-authors of Lucy L. Gao

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

All Works

13 of 13 papers shown
1.
2.
Gao, Lucy L., et al.. (2025). Discussion of “Data Fission: Splitting a Single Data Point”. Journal of the American Statistical Association. 120(549). 151–157. 1 indexed citations
3.
Gao, Lucy L., et al.. (2024). Testing for a difference in means of a single feature after clustering. Biostatistics. 26(1).
4.
Gao, Lucy L., et al.. (2024). Generalized Data Thinning Using Sufficient Statistics. Journal of the American Statistical Association. 120(549). 511–523. 6 indexed citations
5.
Yung, Susan, Lucy L. Gao, & Tak Mao Chan. (2023). LSO-014 Clinico-pathological association of serum CD44 level in lupus nephritis patients. SHILAP Revista de lepidopterología. A42.1–A42. 1 indexed citations
6.
Gao, Lucy L., et al.. (2022). Inference after latent variable estimation for single-cell RNA sequencing data. Biostatistics. 25(1). 270–287. 27 indexed citations
7.
Gao, Lucy L., Jacob Bien, & Daniela Witten. (2022). Selective Inference for Hierarchical Clustering. Journal of the American Statistical Association. 119(545). 332–342. 50 indexed citations
8.
9.
Gao, Lucy L. & Julie Zhou. (2020). Minimax D-optimal designs for multivariate regression models with multi-factors. Journal of Statistical Planning and Inference. 209. 160–173. 4 indexed citations
10.
Hsu, Evelyn, Michele L. Shaffer, Lucy L. Gao, et al.. (2017). Analysis of Liver Offers to Pediatric Candidates on the Transplant Wait List. Gastroenterology. 153(4). 988–995. 46 indexed citations
11.
Gao, Lucy L., et al.. (2015). D-optimal designs based on the second-order least squares estimator. Statistical Papers. 58(1). 77–94. 12 indexed citations
12.
Maguire-Boyle, Samuel J., et al.. (2014). Automated method for determining the flow of surface functionalized nanoparticles through a hydraulically fractured mineral formation using plasmonic silver nanoparticles. Environmental Science Processes & Impacts. 16(2). 220–220. 3 indexed citations
13.
Gao, Lucy L. & Julie Zhou. (2014). New optimal design criteria for regression models with asymmetric errors. Journal of Statistical Planning and Inference. 149. 140–151. 15 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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2026