Yulan Lu

2.3k total citations
83 papers, 1.2k citations indexed

About

Yulan Lu is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yulan Lu has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 33 papers in Genetics and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yulan Lu's work include Genomics and Rare Diseases (20 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Neonatal Respiratory Health Research (8 papers). Yulan Lu is often cited by papers focused on Genomics and Rare Diseases (20 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Neonatal Respiratory Health Research (8 papers). Yulan Lu collaborates with scholars based in China, United States and Nepal. Yulan Lu's co-authors include Wenhao Zhou, Bingbing Wu, Lin Yang, Huijun Wang, Xinran Dong, Weidong Tian, Yuanpeng Zhou, Feng Zhang, Sijia Yan and Qinghe Xing and has published in prestigious journals such as Nucleic Acids Research, Neuron and Bioinformatics.

In The Last Decade

Yulan Lu

76 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulan Lu China 19 527 314 170 150 146 83 1.2k
Ahmad Abou Tayoun United Arab Emirates 23 892 1.7× 838 2.7× 230 1.4× 95 0.6× 85 0.6× 81 2.0k
Abdelhamid Barakat Morocco 23 774 1.5× 491 1.6× 110 0.6× 34 0.2× 132 0.9× 132 1.6k
Eija H. Seppälä Finland 17 436 0.8× 417 1.3× 89 0.5× 186 1.2× 38 0.3× 34 1.1k
Petra Sipilä Finland 23 860 1.6× 364 1.2× 130 0.8× 245 1.6× 130 0.9× 68 1.7k
Elísabet Einarsdóttir Sweden 23 501 1.0× 398 1.3× 113 0.7× 113 0.8× 243 1.7× 71 1.6k
Irina R. Tikhonova United States 3 721 1.4× 526 1.7× 235 1.4× 57 0.4× 71 0.5× 3 1.3k
B. Chevalier France 19 575 1.1× 197 0.6× 223 1.3× 373 2.5× 91 0.6× 64 1.3k
Jennifer Yen United States 13 396 0.8× 144 0.5× 149 0.9× 140 0.9× 57 0.4× 34 996
Maria Luisa Tenchini Italy 24 555 1.1× 198 0.6× 77 0.5× 354 2.4× 52 0.4× 74 1.6k
S. Saito Japan 21 280 0.5× 103 0.3× 87 0.5× 108 0.7× 202 1.4× 51 1.4k

Countries citing papers authored by Yulan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yulan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yulan Lu. A scholar is included among the top collaborators of Yulan Lu 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 Yulan Lu. Yulan Lu 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.
Mao, J. R., Liyuan Hu, Xinran Dong, et al.. (2025). Characterization and diagnosis of feeding difficulties in full-term neonates in NICUs: a multicenter study. Pediatric Research. 99(3). 1032–1039.
2.
Wang, Xiaoni, Yulan Lu, Jiahuan Wang, et al.. (2023). Co-infections of Klebsiella pneumoniae and Elizabethkingia miricola in black-spotted frogs (Pelophylax nigromaculatus). Microbial Pathogenesis. 180. 106150–106150. 11 indexed citations
3.
Yang, H. J., et al.. (2023). Balanced Translocation Disrupting JAG1 Identified by Optical Genomic Mapping in Suspected Alagille Syndrome. Human Mutation. 2023. 1–7. 1 indexed citations
4.
Yang, Lin, Liyuan Hu, Yun Cao, et al.. (2023). Primary carnitine deficiency: Estimation of prevalence in Chinese population and insights into newborn screening. Frontiers in Genetics. 14. 1304458–1304458. 3 indexed citations
5.
Chen, Kitty Jieyi, Ping Zhang, Bo Liu, et al.. (2022). An additional whole-exome sequencing study in 102 panel-undiagnosed patients: A retrospective study in a Chinese craniosynostosis cohort. Frontiers in Genetics. 13. 967688–967688. 2 indexed citations
6.
Xiao, Hui, Jiantao Zhang, Xinran Dong, et al.. (2022). Secondary genomic findings in the 2020 China Neonatal Genomes Project participants. World Journal of Pediatrics. 18(10). 687–694. 3 indexed citations
7.
Dong, Xinran, et al.. (2022). Precision medicine via the integration of phenotype-genotype information in neonatal genome project. Fundamental Research. 2(6). 873–884. 8 indexed citations
8.
Dong, Xinran, Yulan Lu, Bingbing Wu, et al.. (2021). Genetic etiologies associated with infantile hydrocephalus in a Chinese infantile cohort. World Journal of Pediatrics. 17(3). 305–316. 4 indexed citations
9.
Lu, Yulan, Huatuo Huang, Chunfang Wang, et al.. (2021). Association of LncRNA‐GAS5 gene polymorphisms and PBMC LncRNA‐GAS5 level with risk of systemic lupus erythematosus in Chinese population. Journal of Cellular and Molecular Medicine. 25(7). 3548–3559. 16 indexed citations
10.
Dong, Xinran, Mei Mei, Yulan Lu, et al.. (2021). Bronchopulmonary Dysplasia Predicted by Developing a Machine Learning Model of Genetic and Clinical Information. Frontiers in Genetics. 12. 689071–689071. 33 indexed citations
11.
Yang, Lin, Tiantian Xiao, Sujuan Wang, et al.. (2021). Genetic Spectrum Identified by Exome Sequencing in a Chinese Pediatric Cerebral Palsy Cohort. The Journal of Pediatrics. 242. 206–212.e6. 13 indexed citations
12.
13.
Wang, Huijun, Yulan Lu, Xinran Dong, et al.. (2020). Optimized trio genome sequencing (OTGS) as a first-tier genetic test in critically ill infants: practice in China. Human Genetics. 139(4). 473–482. 40 indexed citations
14.
Liu, Bo, Bingbing Wu, Yi Lu, et al.. (2020). A Novel, Recurrent, 3.6-kb Deletion in the PYGL Gene Contributes to Glycogen Storage Disease Type VI. Journal of Molecular Diagnostics. 22(12). 1373–1382. 4 indexed citations
15.
Yang, Lin, Xiang Chen, Xu Liu, et al.. (2020). Clinical features and underlying genetic causes in neonatal encephalopathy: A large cohort study. Clinical Genetics. 98(4). 365–373. 18 indexed citations
16.
Liu, Bo, Yulan Lu, Bingbing Wu, et al.. (2020). Survival Motor Neuron Gene Copy Number Analysis by Exome Sequencing. Journal of Molecular Diagnostics. 22(5). 619–628. 15 indexed citations
17.
Yu, Sha, Bingbing Wu, Yanyan Qian, et al.. (2019). Clinical exome sequencing identifies novel CREBBP variants in 18 Chinese Rubinstein–Taybi Syndrome kids with high frequency of polydactyly. Molecular Genetics & Genomic Medicine. 7(12). e1009–e1009. 9 indexed citations
18.
Yang, Lin, Xinran Dong, Liyuan Hu, et al.. (2018). Clinical and genetic spectrum of a large cohort of children with epilepsy in China. Genetics in Medicine. 21(3). 564–571. 81 indexed citations
19.
He, Danyang, Jincheng Wang, Yulan Lu, et al.. (2016). lncRNA Functional Networks in Oligodendrocytes Reveal Stage-Specific Myelination Control by an lncOL1 /Suz12 Complex in the CNS. Neuron. 93(2). 362–378. 101 indexed citations
20.
Zhou, Yuanpeng, Yulan Lu, & Weidong Tian. (2012). Epigenetic features are significantly associated with alternative splicing. BMC Genomics. 13(1). 123–123. 50 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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