Luli S. Zou

2.2k total citations · 1 hit paper
9 papers, 793 citations indexed

About

Luli S. Zou is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Luli S. Zou has authored 9 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Luli S. Zou's work include Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (2 papers) and interferon and immune responses (2 papers). Luli S. Zou is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (2 papers) and interferon and immune responses (2 papers). Luli S. Zou collaborates with scholars based in United States and United Kingdom. Luli S. Zou's co-authors include Rafael A. Irizarry, Evan Murray, Dylan Cable, Fei Chen, Evan Z. Macosko, Aleksandrina Goeva, John P. Didion, Michael R. Erdos, Francis S. Collins and Stephen C.J. Parker and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Cancer Research.

In The Last Decade

Luli S. Zou

9 papers receiving 787 citations

Hit Papers

Robust decomposition of cell type mixtures in spatial tra... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luli S. Zou United States 7 648 179 129 106 86 9 793
Lindsay M. LaFave United States 8 808 1.2× 137 0.8× 258 2.0× 123 1.2× 161 1.9× 15 1.0k
Michaela Asp Sweden 6 1.0k 1.6× 225 1.3× 205 1.6× 164 1.5× 83 1.0× 8 1.2k
Jayson Harshbarger Japan 5 501 0.8× 154 0.9× 112 0.9× 40 0.4× 105 1.2× 6 661
Emma Dann United States 7 704 1.1× 298 1.7× 215 1.7× 109 1.0× 131 1.5× 12 1.0k
Artem Lomakin Germany 3 482 0.7× 175 1.0× 127 1.0× 80 0.8× 94 1.1× 3 606
Yunuo Mao China 10 538 0.8× 102 0.6× 168 1.3× 17 0.2× 198 2.3× 13 826
Congxue Hu China 5 346 0.5× 179 1.0× 136 1.1× 23 0.2× 116 1.3× 13 571
Haoteng Yan China 7 520 0.8× 123 0.7× 247 1.9× 26 0.2× 166 1.9× 11 720
Mor Zada Israel 6 303 0.5× 318 1.8× 58 0.4× 35 0.3× 150 1.7× 10 629
Abha Bais United States 10 306 0.5× 40 0.2× 73 0.6× 20 0.2× 39 0.5× 18 407

Countries citing papers authored by Luli S. Zou

Since Specialization
Citations

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

Fields of papers citing papers by Luli S. Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luli S. Zou. 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 Luli S. Zou. The network helps show where Luli S. Zou may publish in the future.

Co-authorship network of co-authors of Luli S. Zou

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

All Works

9 of 9 papers shown
1.
Zou, Luli S., Dylan Cable, Irving Barrera, et al.. (2024). Detection of allele-specific expression in spatial transcriptomics with spASE. Genome biology. 25(1). 180–180. 6 indexed citations
2.
Zou, Luli S., Patrick Danaher, Michael J. Raabe, et al.. (2022). Abstract C038: Repeat RNA dysregulation of cellular states in the pancreatic cancer microenvironment. Cancer Research. 82(22_Supplement). C038–C038. 1 indexed citations
3.
Cable, Dylan, Evan Murray, Vignesh Shanmugam, et al.. (2022). Cell type-specific inference of differential expression in spatial transcriptomics. Nature Methods. 19(9). 1076–1087. 65 indexed citations
4.
Cable, Dylan, Evan Murray, Luli S. Zou, et al.. (2021). Robust decomposition of cell type mixtures in spatial transcriptomics. Nature Biotechnology. 40(4). 517–526. 565 indexed citations breakdown →
5.
Tak, Y. Esther, Joy E. Horng, Nicholas T. Perry, et al.. (2021). Augmenting and directing long-range CRISPR-mediated activation in human cells. Nature Methods. 18(9). 1075–1081. 19 indexed citations
6.
Rai, Vivek, Daniel Quang, Michael R. Erdos, et al.. (2019). Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures. Molecular Metabolism. 32. 109–121. 70 indexed citations
7.
Zou, Luli S., Michael R. Erdos, D. Leland Taylor, et al.. (2018). BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues. BMC Genomics. 19(1). 390–390. 35 indexed citations
8.
Zou, Luli S., Perry J. Pickhardt, Kristina A. Matkowskyj, et al.. (2016). Subclonal diversity arises early even in small colorectal tumours and contributes to differential growth fates. Gut. 66(12). 2132–2140. 31 indexed citations
9.
Zou, Luli S., Perry J. Pickhardt, Kristina A. Matkowskyj, et al.. (2016). Abstract 151: Modeling the rise of intratumoral heterogeneity in growing, static, and regressing human colorectal polyps. Cancer Research. 76(14_Supplement). 151–151. 1 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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