Xun Lan

4.8k total citations
71 papers, 2.7k citations indexed

About

Xun Lan is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Xun Lan has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 12 papers in Genetics and 11 papers in Immunology. Recurrent topics in Xun Lan's work include Genomics and Chromatin Dynamics (16 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Research and Splicing (8 papers). Xun Lan is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Research and Splicing (8 papers). Xun Lan collaborates with scholars based in China, United States and India. Xun Lan's co-authors include Jonathan K. Pritchard, Victor X. Jin, Bin Liu, Kuo‐Chen Chou, Longyun Fang, Bin Liu, Xiaolong Wang, Kuo‐Chen Chou, Jiyun Zhou and Ruifeng Xu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xun Lan

67 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xun Lan China	28	2.0k	363	327	272	259	71	2.7k
Sarah Kummerfeld Australia	21	2.2k 1.1×	384 1.1×	329 1.0×	429 1.6×	189 0.7×	40	3.1k
Oussema Souiai Tunisia	7	1.7k 0.8×	217 0.6×	508 1.6×	279 1.0×	300 1.2×	10	2.6k
Adam Platt United Kingdom	25	1.3k 0.6×	286 0.8×	216 0.7×	261 1.0×	270 1.0×	53	2.4k
Linn Fagerberg Sweden	28	2.1k 1.1×	312 0.9×	302 0.9×	294 1.1×	249 1.0×	55	3.1k
Kenneth Chang United States	21	2.3k 1.1×	371 1.0×	560 1.7×	205 0.8×	414 1.6×	33	2.8k
Ming‐Zhong Sun China	26	1.5k 0.8×	298 0.8×	549 1.7×	366 1.3×	278 1.1×	83	2.2k
Antonio Fabregat United Kingdom	10	1.8k 0.9×	213 0.6×	269 0.8×	334 1.2×	260 1.0×	15	2.9k
Jean Roayaei United States	6	1.3k 0.6×	222 0.6×	377 1.2×	215 0.8×	175 0.7×	6	1.9k
Abul Bashar Mir Md. Khademul Islam Bangladesh	30	1.7k 0.8×	227 0.6×	517 1.6×	441 1.6×	485 1.9×	87	2.6k
Kai Tan United States	36	2.8k 1.4×	436 1.2×	389 1.2×	686 2.5×	360 1.4×	98	3.9k

Countries citing papers authored by Xun Lan

Since Specialization

Citations

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

Fields of papers citing papers by Xun Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Lan. A scholar is included among the top collaborators of Xun Lan 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 Xun Lan. Xun Lan 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:

20 of 20 papers shown

Lan, Xun, et al.. (2024). Phase-field simulation of fission bubbles formation in composite ceramic nuclear fuel. Nuclear Engineering and Design. 428. 113485–113485. 1 indexed citations

Lan, Xun, et al.. (2024). A single-cell atlas of chromatin accessibility in mouse organogenesis. Nature Cell Biology. 26(7). 1200–1211. 5 indexed citations

Liu, Chang, et al.. (2024). Dysregulation of Wnt/β-catenin signaling contributes to intestinal inflammation through regulation of group 3 innate lymphoid cells. Nature Communications. 15(1). 2820–2820. 15 indexed citations

Jiang, Mengnan, et al.. (2024). VitTCR: A deep learning method for peptide recognition prediction. iScience. 27(5). 109770–109770. 2 indexed citations

Yuan, Junsong, Xiaoyu Ren, Huimin Wang, et al.. (2024). Tracking-seq reveals the heterogeneity of off-target effects in CRISPR–Cas9-mediated genome editing. Nature Biotechnology. 43(5). 799–810. 23 indexed citations

Jiang, Mengnan, et al.. (2024). HeteroTCR: A heterogeneous graph neural network-based method for predicting peptide-TCR interaction. Communications Biology. 7(1). 684–684. 6 indexed citations

Wang, Lihui, Daosheng Huang, Jie Hu, et al.. (2024). Identification of virus epitopes and reactive T-cell receptors from memory T cells without peptide synthesis. Communications Biology. 7(1). 1432–1432.

Liu, Xinhong, Di Zou, Yong Li, et al.. (2023). Aberrant accumulation of Kras-dependent pervasive transcripts during tumor progression renders cancer cells dependent on PAF1 expression. Cell Reports. 42(8). 112979–112979. 4 indexed citations

Zheng, Yu, Haihui Jiang, Daosheng Huang, et al.. (2023). Glioma-derived ANXA1 suppresses the immune response to TLR3 ligands by promoting an anti-inflammatory tumor microenvironment. Cellular and Molecular Immunology. 21(1). 47–59. 21 indexed citations

10.

Wang, Lihui & Xun Lan. (2022). Rapid screening of TCR-pMHC interactions by the YAMTAD system. Cell Discovery. 8(1). 30–30. 20 indexed citations

11.

Ma, Fuhai, Yang Li, Sun Xiao-feng, et al.. (2022). scRNA-seq of gastric tumor shows complex intercellular interaction with an alternative T cell exhaustion trajectory. Nature Communications. 13(1). 4943–4943. 82 indexed citations

12.

Pang, Huanhuan, Yisheng Jiang, Jie Li, et al.. (2021). Aberrant NAD+ metabolism underlies Zika virus–induced microcephaly. Nature Metabolism. 3(8). 1109–1124. 47 indexed citations

13.

Lan, Xun, et al.. (2021). SIGNET: single-cell RNA-seq-based gene regulatory network prediction using multiple-layer perceptron bagging. Briefings in Bioinformatics. 23(1). 16 indexed citations

14.

Ji, Fansen, et al.. (2021). Knockout of immunotherapy prognostic marker genes eliminates the effect of the anti-PD-1 treatment. npj Precision Oncology. 5(1). 37–37. 4 indexed citations

15.

Xu, Hengyi, Han Yang, Lei Zhang, et al.. (2021). The coSIR model predicts effective strategies to limit the spread of SARS-CoV-2 variants with low severity and high transmissibility. Nonlinear Dynamics. 105(3). 2757–2773. 5 indexed citations

16.

Wang, Juanjuan, Jing Li, Yanni Liu, et al.. (2020). Prevalence of phase variable epigenetic invertons among host-associated bacteria. Nucleic Acids Research. 48(20). 11468–11485. 14 indexed citations

17.

Harpak, Arbel, Xun Lan, Ziyue Gao, & Jonathan K. Pritchard. (2017). Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates. Proceedings of the National Academy of Sciences. 114(48). 12779–12784. 29 indexed citations

18.

Kumar, Santosh, et al.. (2016). Whole Genome Sequencing Identifies a Novel Factor Required for Secretory Granule Maturation in Tetrahymena thermophila. G3 Genes Genomes Genetics. 6(8). 2505–2516. 9 indexed citations

19.

Lan, Xun & Jonathan K. Pritchard. (2016). Coregulation of tandem duplicate genes slows evolution of subfunctionalization in mammals. Science. 352(6288). 1009–1013. 123 indexed citations

20.

Zuo, Tao, Xun Lan, Yu‐I Weng, et al.. (2011). Epigenetic Silencing Mediated through Activated PI3K/AKT Signaling in Breast Cancer. Cancer Research. 71(5). 1752–1762. 52 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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