Han Xu

14.6k total citations · 2 hit papers
44 papers, 3.7k citations indexed

About

Han Xu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Han Xu has authored 44 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Han Xu's work include CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (11 papers) and Cancer-related molecular mechanisms research (9 papers). Han Xu is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (11 papers) and Cancer-related molecular mechanisms research (9 papers). Han Xu collaborates with scholars based in United States, China and United Kingdom. Han Xu's co-authors include X. Shirley Liu, Myles Brown, Wei Li, Tengfei Xiao, Jun S. Liu, Le Cong, Feng Zhang, Michael I. Love, Rafael A. Irizarry and Buhm Han and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Han Xu

43 papers receiving 3.7k citations

Hit Papers

MAGeCK enables robust identification of essential genes f... 2014 2026 2018 2022 2014 2015 400 800 1.2k
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.

  1. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
    2014 1.4k citations Wei Li, Han Xu et al. Genome biology profile →
  2. Sequence determinants of improved CRISPR sgRNA design
    2015 444 citations Han Xu, Tengfei Xiao et al. Genome Research profile →

Peers

Han Xu
Emma W Vaimberg United States
Magda Bienko Sweden
Anthony G. Uren United Kingdom
Eleni P. Mimitou United States
Nicola Crosetto Sweden
Ayal Hendel Israel
Yunmei Ma United States
Megerditch Kiledjian United States
Rasmus O. Bak Denmark
Tokameh Mahmoudi Netherlands
Emma W Vaimberg United States
Han Xu
Citations per year, relative to Han Xu Han Xu (= 1×) peers Emma W Vaimberg

Countries citing papers authored by Han Xu

Since Specialization
Citations

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

Fields of papers citing papers by Han Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Han Xu. A scholar is included among the top collaborators of Han Xu 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 Han Xu. Han Xu 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
1.
Li, Yuzhen, Wei He, Denisse Carvajal-Maldonado, et al.. (2025). Pol θ-mediated end-joining uses microhomologies containing mismatches. Nature Communications. 16(1). 6085–6085. 1 indexed citations
2.
Wang, Sihan, Haolang Ming, Zhen Wang, et al.. (2025). NONHSAT141192.2 Facilitates the Stemness and Radioresistance of Glioma Stem Cells via the Regulation of PIK3R3 and SOX2. CNS Neuroscience & Therapeutics. 31(2). e70279–e70279. 1 indexed citations
3.
Xu, Han, Xu Wang, Frank Wu, et al.. (2025). Emodin-induced ERα degradation via SYVN1 alleviates vascular calcification by preventing HIF-1α deacetylation in chronic kidney disease. Phytomedicine. 145. 156915–156915. 3 indexed citations
4.
Yang, Qinglan, Hehe Liu, Han Xu, et al.. (2024). Genome-wide association study for bone quality of ducks during the laying period. Poultry Science. 103(5). 103575–103575. 2 indexed citations
5.
Wang, Yalong, Wei He, Leilei Shi, et al.. (2024). SART3 reads methylarginine-marked glycine- and arginine-rich motifs. Cell Reports. 43(7). 114459–114459. 3 indexed citations
6.
Fan, Xuan, Hongwen Xuan, Mengying Huang, et al.. (2023). The Tudor-knot Domain of KAT5 Regulates Nucleosomal Substrate Acetylation. Journal of Molecular Biology. 436(7). 168414–168414. 1 indexed citations
7.
Xu, Longxia, Hongwen Xuan, Wei He, et al.. (2023). TAZ2 truncation confers overactivation of p300 and cellular vulnerability to HDAC inhibition. Nature Communications. 14(1). 5362–5362. 10 indexed citations
8.
Zheng, Caishang, Yanjun Wei, Peng Zhang, et al.. (2023). CRISPR/Cas9 screen uncovers functional translation of cryptic lncRNA-encoded open reading frames in human cancer. Journal of Clinical Investigation. 133(5). 25 indexed citations
9.
Zhao, Can, et al.. (2023). Identification of Novel Prognostic Long Non-coding RNAs in Lung Adenocarcinoma Using WGCNA Analysis. Biochemical Genetics. 62(1). 264–280. 2 indexed citations
10.
He, Wei, et al.. (2023). Guide-specific loss of efficiency and off-target reduction with Cas9 variants. Nucleic Acids Research. 51(18). 9880–9893. 5 indexed citations
11.
He, Wei, Jinzhuang Dou, Oscar D. Villarreal, et al.. (2022). Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity. Nature Communications. 13(1). 474–474. 33 indexed citations
12.
Villarreal, Oscar D., Swanand Hardikar, Zhenbao Yu, et al.. (2022). PRMT7 ablation stimulates anti-tumor immunity and sensitizes melanoma to immune checkpoint blockade. Cell Reports. 38(13). 110582–110582. 39 indexed citations
13.
Zhao, Qingsong, et al.. (2022). Regulation of the Proliferation of Diabetic Vascular Endothelial Cells by Degrading Endothelial Cell Functional Genes with QKI‐7. Contrast Media & Molecular Imaging. 2022(1). 6177809–6177809. 1 indexed citations
14.
He, Wei, Helen H. Wang, Yanjun Wei, et al.. (2020). GuidePro: a multi-source ensemble predictor for prioritizing sgRNAs in CRISPR/Cas9 protein knockouts. Bioinformatics. 37(1). 134–136. 7 indexed citations
15.
16.
He, Wei, Oscar D. Villarreal, Ella Bedford, et al.. (2019). De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens. Nature Communications. 10(1). 4541–4541. 42 indexed citations
17.
Cao, Qingyi, Jian Ma, Han Xu, et al.. (2017). CRISPR-FOCUS: A web server for designing focused CRISPR screening experiments. PLoS ONE. 12(9). e0184281–e0184281. 16 indexed citations
18.
Li, Wei, Johannes Köster, Han Xu, et al.. (2015). Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR. Genome biology. 16(1). 281–281. 262 indexed citations
19.
Xu, Han, Tengfei Xiao, Wei Li, et al.. (2015). Sequence determinants of improved CRISPR sgRNA design. Genome Research. 25(8). 1147–1157. 444 indexed citations breakdown →
20.
He, Housheng Hansen, Clifford A. Meyer, Shengen Shawn Hu, et al.. (2013). Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification. Nature Methods. 11(1). 73–78. 153 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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