Zhuorui Xie

4.5k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Zhuorui Xie is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Zhuorui Xie has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Cancer Research. Recurrent topics in Zhuorui Xie's work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (8 papers) and RNA modifications and cancer (4 papers). Zhuorui Xie is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (8 papers) and RNA modifications and cancer (4 papers). Zhuorui Xie collaborates with scholars based in United States, South Korea and Israel. Zhuorui Xie's co-authors include Avi Ma’ayan, John Erol Evangelista, Daniel Clarke, Alexander Lachmann, Maxim V. Kuleshov, Minji Jeon, Megan L. Wojciechowicz, Kathleen M. Jagodnik, Sherry L. Jenkins and Eryk Kropiwnicki and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Zhuorui Xie

18 papers receiving 2.0k 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.

Gene Set Knowledge Discovery with Enrichr

2021 1.7k citations Zhuorui Xie, Allison Bailey et al. Current Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuorui Xie United States	10	1.2k	338	308	231	187	18	2.0k
John Erol Evangelista United States	11	1.3k 1.1×	338 1.0×	333 1.1×	248 1.1×	189 1.0×	22	2.2k
Minji Jeon South Korea	12	1.4k 1.2×	382 1.1×	343 1.1×	265 1.1×	208 1.1×	26	2.5k
Eryk Kropiwnicki United States	8	1.4k 1.2×	395 1.2×	408 1.3×	281 1.2×	224 1.2×	10	2.4k
Megan L. Wojciechowicz United States	10	1.5k 1.3×	429 1.3×	435 1.4×	301 1.3×	227 1.2×	13	2.6k
Constantin Georgescu United States	22	1.3k 1.1×	322 1.0×	358 1.2×	169 0.7×	307 1.6×	74	2.3k
Denis Torre United States	12	1.1k 0.9×	270 0.8×	210 0.7×	167 0.7×	109 0.6×	17	1.6k
Eric E. Bardes United States	5	1.5k 1.2×	388 1.1×	275 0.9×	193 0.8×	186 1.0×	6	2.4k
Alexandra Keenan United States	9	1.1k 1.0×	262 0.8×	211 0.7×	150 0.6×	138 0.7×	13	1.7k

Countries citing papers authored by Zhuorui Xie

Since Specialization

Citations

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

Fields of papers citing papers by Zhuorui Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuorui Xie

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Evangelista, John Erol, et al.. (2025). lncRNAlyzr: Enrichment Analysis for lncRNA Sets. Journal of Molecular Biology. 437(15). 168938–168938. 2 indexed citations

Clarke, Daniel, et al.. (2024). Rummagene: massive mining of gene sets from supporting materials of biomedical research publications. Communications Biology. 7(1). 482–482. 11 indexed citations

Marino, Giacomo B., et al.. (2023). GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery. Nucleic Acids Research. 51(W1). W213–W224. 5 indexed citations

Marino, Giacomo B., Zhuorui Xie, Kathleen M. Jagodnik, et al.. (2023). D2H2: diabetes data and hypothesis hub. Bioinformatics Advances. 3(1). vbad178–vbad178. 2 indexed citations

Evangelista, John Erol, Zhuorui Xie, Giacomo B. Marino, et al.. (2023). Enrichr-KG: bridging enrichment analysis across multiple libraries. Nucleic Acids Research. 51(W1). W168–W179. 78 indexed citations

Xie, Zhuorui, Clara Chen, & Avi Ma’ayan. (2023). Dex-Benchmark: datasets and code to evaluate algorithms for transcriptomics data analysis. PeerJ. 11. e16351–e16351. 1 indexed citations

Xie, Zhuorui, et al.. (2023). Computational screen to identify potential targets for immunotherapeutic identification and removal of senescence cells. Aging Cell. 22(6). e13809–e13809. 6 indexed citations

Evangelista, John Erol, Daniel Clarke, Zhuorui Xie, et al.. (2023). Toxicology knowledge graph for structural birth defects. SHILAP Revista de lepidopterología. 3(1). 98–98. 14 indexed citations

Marino, Giacomo B., Megan L. Wojciechowicz, Daniel Clarke, et al.. (2023). lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. Database. 2023. 11 indexed citations

10.

Kropiwnicki, Eryk, Alexander Lachmann, Daniel Clarke, et al.. (2022). DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules. BMC Bioinformatics. 23(1). 76–76. 5 indexed citations

11.

Clarke, Daniel, Maxim V. Kuleshov, Zhuorui Xie, et al.. (2022). Gene and drug landing page aggregator. Bioinformatics Advances. 2(1). vbac013–vbac013. 1 indexed citations

12.

Jeon, Minji, Zhuorui Xie, John Erol Evangelista, et al.. (2022). Transforming L1000 profiles to RNA-seq-like profiles with deep learning. BMC Bioinformatics. 23(1). 374–374. 9 indexed citations

13.

Xie, Zhuorui, Eryk Kropiwnicki, Megan L. Wojciechowicz, et al.. (2022). Getting Started with LINCS Datasets and Tools. Current Protocols. 2(7). e487–e487. 11 indexed citations

14.

Lachmann, Alexander, Zhuorui Xie, & Avi Ma’ayan. (2022). blitzGSEA: efficient computation of gene set enrichment analysis through gamma distribution approximation. Bioinformatics. 38(8). 2356–2357. 18 indexed citations

15.

Evangelista, John Erol, Daniel Clarke, Zhuorui Xie, et al.. (2022). SigCom LINCS: data and metadata search engine for a million gene expression signatures. Nucleic Acids Research. 50(W1). W697–W709. 49 indexed citations

16.

Kuleshov, Maxim V., Zhuorui Xie, John Erol Evangelista, et al.. (2021). KEA3: improved kinase enrichment analysis via data integration. Nucleic Acids Research. 49(W1). W304–W316. 78 indexed citations

17.

Xie, Zhuorui, Allison Bailey, Maxim V. Kuleshov, et al.. (2021). Gene Set Knowledge Discovery with Enrichr. Current Protocols. 1(3). e90–e90. 1718 indexed citations breakdown →

18.

Lachmann, Alexander, Daniel Clarke, Denis Torre, Zhuorui Xie, & Avi Ma’ayan. (2020). Interoperable RNA-Seq analysis in the cloud. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1863(6). 194521–194521. 16 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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