Yujia Lan

2.5k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Yujia Lan is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Yujia Lan has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cancer Research, 23 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yujia Lan's work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Yujia Lan is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Yujia Lan collaborates with scholars based in China, United Kingdom and United States. Yujia Lan's co-authors include Xia Li, Yun Xiao, Jinyuan Xu, Yanyan Ping, Liwen Xu, Jing Bai, Gaoming Liao, Tingting Zhao, Fei Quan and Tao Luo and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Yujia Lan

29 papers receiving 1.4k 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.

CellMarker: a manually curated resource of cell markers in human and mouse

2018 893 citations Xinxin Zhang, Yujia Lan et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujia Lan China	12	1.0k	544	315	234	199	30	1.5k
Jinyuan Xu China	14	1.0k 1.0×	634 1.2×	327 1.0×	255 1.1×	216 1.1×	38	1.5k
Yanyan Ping China	15	1.3k 1.2×	780 1.4×	342 1.1×	232 1.0×	216 1.1×	39	1.7k
Aiai Shi China	5	1.1k 1.1×	521 1.0×	401 1.3×	433 1.9×	315 1.6×	8	1.6k
Erjie Zhao China	6	612 0.6×	261 0.5×	299 0.9×	192 0.8×	161 0.8×	7	956
Gesmira Molla United States	2	742 0.7×	169 0.3×	343 1.1×	134 0.6×	181 0.9×	2	1.3k
Stefan Peidli Germany	3	1.0k 1.0×	197 0.4×	368 1.2×	95 0.4×	181 0.9×	5	1.4k
Gaoming Liao China	11	1.5k 1.4×	739 1.4×	569 1.8×	731 3.1×	548 2.8×	19	2.2k
Lev Silberstein United States	9	972 1.0×	306 0.6×	409 1.3×	54 0.2×	156 0.8×	14	1.5k
Joseph Bergenstråhle Sweden	10	1.1k 1.1×	295 0.5×	295 0.9×	85 0.4×	155 0.8×	11	1.4k
José Alquicira-Hernández Australia	8	810 0.8×	249 0.5×	235 0.7×	67 0.3×	98 0.5×	12	1.1k

Countries citing papers authored by Yujia Lan

Since Specialization

Citations

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

Fields of papers citing papers by Yujia Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujia Lan

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

All Works

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20 of 20 papers shown

Wang, Ruixue, Hongxu Yang, Yanzhe Gao, et al.. (2025). A synthetic heavy chain variable domain antibody library (VHL) provides highly functional antibodies with favorable developability. Protein Science. 34(4). e70090–e70090.

Shi, Aiai, Min Yan, Bo Pang, et al.. (2023). Dissecting cellular states of infiltrating microenvironment cells in melanoma by integrating single-cell and bulk transcriptome analysis. BMC Immunology. 24(1). 52–52. 2 indexed citations

Yuan, Huating, Min Yan, Xin Liang, et al.. (2022). Decoding the associations between cell functional states in head and neck cancer based on single-cell transcriptome. Oral Oncology. 134. 106110–106110. 1 indexed citations

Liu, Dongmei, Xia Li, Yujia Lan, et al.. (2021). Models for Predicting Sentinel and Non-sentinel Lymph Nodes Based on Pre-operative Ultrasonic Breast Imaging to Optimize Axillary Strategies. Ultrasound in Medicine & Biology. 47(11). 3101–3110. 5 indexed citations

Pang, Bo, Fei Quan, Yanyan Ping, et al.. (2021). Dissecting the Invasion-Associated Long Non-coding RNAs Using Single-Cell RNA-Seq Data of Glioblastoma. Frontiers in Genetics. 11. 633455–633455. 3 indexed citations

Jiang, Z. X., Gaoming Liao, Yiran Yang, et al.. (2021). Analysis of Mutations and Dysregulated Pathways Unravels Carcinogenic Effect and Clinical Actionability of Mutational Processes. Frontiers in Cell and Developmental Biology. 9. 768981–768981. 1 indexed citations

Liu, Dongmei, Yujia Lan, Lei Zhang, et al.. (2021). Nomograms for Predicting Axillary Lymph Node Status Reconciled With Preoperative Breast Ultrasound Images. Frontiers in Oncology. 11. 567648–567648. 5 indexed citations

Zhou, Yao, Shuai Wang, Haoteng Yan, et al.. (2021). Identifying Key Somatic Copy Number Alterations Driving Dysregulation of Cancer Hallmarks in Lower-Grade Glioma. Frontiers in Genetics. 12. 654736–654736. 7 indexed citations

Ping, Yanyan, Chaohan Xu, Liwen Xu, et al.. (2020). Prioritizing Gene Cascading Paths to Model Colorectal Cancer Through Engineered Organoids. Frontiers in Bioengineering and Biotechnology. 8. 12–12. 9 indexed citations

10.

Zhao, Erjie, et al.. (2020). Identification of a Six-lncRNA Signature With Prognostic Value for Breast Cancer Patients. Frontiers in Genetics. 11. 673–673. 6 indexed citations

11.

Wang, Li, Hongying Zhao, Jing Li, et al.. (2019). Identifying functions and prognostic biomarkers of network motifs marked by diverse chromatin states in human cell lines. Oncogene. 39(3). 677–689. 11 indexed citations

12.

Lan, Yujia, et al.. (2019). Revealing clonality and subclonality of driver genes for clinical survival benefits in breast cancer. Breast Cancer Research and Treatment. 175(1). 91–104. 7 indexed citations

13.

Zhang, Guanxiong, Yujia Lan, Jian Shi, et al.. (2019). Comprehensive analysis of long noncoding RNA (lncRNA)-chromatin interactions reveals lncRNA functions dependent on binding diverse regulatory elements. Journal of Biological Chemistry. 294(43). 15613–15622. 39 indexed citations

14.

Xu, Jinyuan, Yujia Lan, Fulong Yu, et al.. (2018). Transcriptome analysis reveals a long non-coding RNA signature to improve biochemical recurrence prediction in prostate cancer. Oncotarget. 9(38). 24936–24949. 7 indexed citations

15.

Zhang, Guanxiong, Jian Shi, Yujia Lan, et al.. (2017). DiseaseEnhancer: a resource of human disease-associated enhancer catalog. Nucleic Acids Research. 46(D1). D78–D84. 62 indexed citations

16.

Wang, Li, Jing Li, Hongying Zhao, et al.. (2016). Identifying the crosstalk of dysfunctional pathways mediated by lncRNAs in breast cancer subtypes. Molecular BioSystems. 12(3). 711–720. 28 indexed citations

17.

Xu, Jinyuan, Jing Bai, Xinxin Zhang, et al.. (2016). A comprehensive overview of lncRNA annotation resources. Briefings in Bioinformatics. 18(2). bbw015–bbw015. 122 indexed citations

18.

Zhao, Hongying, Guanxiong Zhang, Lin Pang, et al.. (2016). ‘Traffic light rules’: Chromatin states direct miRNA-mediated network motifs running by integrating epigenome and regulatome. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(7). 1475–1488. 10 indexed citations

19.

Zhao, Hongying, Jinyuan Xu, Lin Pang, et al.. (2015). Genome-wide DNA methylome reveals the dysfunction of intronic microRNAs in major psychosis. BMC Medical Genomics. 8(1). 62–62. 27 indexed citations

20.

Xiao, Yun, Yanling Lv, Yujia Lan, et al.. (2015). Gene Perturbation Atlas (GPA): a single-gene perturbation repository for characterizing functional mechanisms of coding and non-coding genes. Scientific Reports. 5(1). 10889–10889. 19 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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