Yu Lu

509 total citations
31 papers, 301 citations indexed

About

Yu Lu is a scholar working on Sensory Systems, Molecular Biology and Hematology. According to data from OpenAlex, Yu Lu has authored 31 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sensory Systems, 10 papers in Molecular Biology and 9 papers in Hematology. Recurrent topics in Yu Lu's work include Hearing, Cochlea, Tinnitus, Genetics (12 papers), Vestibular and auditory disorders (9 papers) and Blood groups and transfusion (8 papers). Yu Lu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (12 papers), Vestibular and auditory disorders (9 papers) and Blood groups and transfusion (8 papers). Yu Lu collaborates with scholars based in China, United States and United Kingdom. Yu Lu's co-authors include Xiangyang Li, Baoan Song, Deyu Hu, Jing Cheng, Huijun Yuan, Pu Dai, Dongyi Han, Yanping Lu, Yan Ding and Zhuo Chen and has published in prestigious journals such as PLoS ONE, The Plant Journal and Genome Research.

In The Last Decade

Yu Lu

29 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Lu China 9 135 112 96 56 34 31 301
Qingqing Dai China 13 149 1.1× 66 0.6× 252 2.6× 101 1.8× 20 0.6× 28 539
Maarja Laos Finland 9 147 1.1× 127 1.1× 217 2.3× 33 0.6× 9 0.3× 10 432
Andreas Th. Müller Austria 9 126 0.9× 91 0.8× 16 0.2× 38 0.7× 13 0.4× 30 290
Fabienne Wong Jun Tai France 6 145 1.1× 39 0.3× 185 1.9× 13 0.2× 6 0.2× 7 273
Su Sha United States 6 88 0.7× 235 2.1× 25 0.3× 91 1.6× 27 0.8× 6 323
C Vilela Spain 10 254 1.9× 100 0.9× 12 0.1× 31 0.6× 5 0.1× 15 386
Amélie Sarrazin France 8 276 2.0× 41 0.4× 91 0.9× 19 0.3× 4 0.1× 11 375
Breanna Kalmeta United States 4 166 1.2× 79 0.7× 36 0.4× 6 0.1× 1 0.0× 4 290
О. Г. Давыденко Belarus 8 140 1.0× 17 0.2× 122 1.3× 8 0.1× 4 0.1× 40 242
Celia Zhang United States 8 129 1.0× 233 2.1× 41 0.4× 131 2.3× 16 0.5× 15 356

Countries citing papers authored by Yu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Lu. A scholar is included among the top collaborators of Yu 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 Yu Lu. Yu 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.
Lu, Yu, Peng Han, Guanying Wang, et al.. (2025). Developing eco-friendly, pest-resistant cotton by a heterologous multi-gene transformation system for caffeine synthesis. The Crop Journal. 14(1). 166–175.
2.
Lu, Yu, et al.. (2025). Targeting FLT3 for treating diseases: FLT3 inhibitors. Drug Discovery Today. 30(5). 104367–104367. 4 indexed citations
3.
Lu, Yu, et al.. (2024). Serological and molecular characterization of novel ABO variants including an interesting B(A) subgroup. Transfusion. 64(12). 2364–2370. 1 indexed citations
4.
Ezura, Kentaro, Yu Lu, Yutaka Suzuki, Nobutaka Mitsuda, & Tohru Ariizumi. (2024). Class II knotted‐like homeodomain protein SlKN5 with BEL1‐like homeodomain proteins suppresses fruit greening in tomato fruit. The Plant Journal. 118(6). 2037–2054. 3 indexed citations
5.
Yu, Shanshan, Lili Chen, Mingyao Zhang, & Yu Lu. (2024). Unveiling the hidden power of noncoding RNAs in pediatric respiratory diseases. Allergologia et Immunopathologia. 52(6). 128–136.
6.
Xu, Zhongping, Guanying Wang, Yu Lu, et al.. (2023). Single-cell resolution analysis reveals the preparation for reprogramming the fate of stem cell niche in cotton lateral meristem. Genome biology. 24(1). 194–194. 40 indexed citations
7.
Lu, Yu, et al.. (2022). Proactive functional classification of all possible missense single-nucleotide variants in KCNQ4. Genome Research. 32(8). 1573–1584. 8 indexed citations
8.
Lu, Yu, et al.. (2022). Methodological Study on the Establishment of HLA/HPA Gene Bank of Platelet Donors and Its Clinical Application. Indian Journal of Hematology and Blood Transfusion. 39(1). 123–131. 6 indexed citations
9.
Wang, Jing, Yu Lu, Xiaohong Yan, et al.. (2021). Identification of novel MITF mutations in Chinese families with Waardenburg syndrome type II. Molecular Genetics & Genomic Medicine. 9(9). e1770–e1770. 4 indexed citations
11.
Lu, Yu, et al.. (2019). Novel SCN2A mutation in a family associated with juvenile-onset myoclonus. Medicine. 98(8). e14698–e14698. 4 indexed citations
12.
Chen, Yu, Yu Lu, Jing Cheng, et al.. (2018). Identification of Pathogenic Genes of Nonsyndromic Hearing Loss in Uyghur Families Using Massively Parallel DNA Sequencing Technique. Disease Markers. 2018. 1–9. 3 indexed citations
13.
Li, Xiangyang, Ge‐Fei Hao, Qingmin Wang, et al.. (2017). Ningnanmycin inhibits tobacco mosaic virus virulence by binding directly to its coat protein discs. Oncotarget. 8(47). 82446–82458. 43 indexed citations
14.
Zhang, Zhao, Jing Cheng, Yu Lu, et al.. (2015). A novel mutation of EYA4 in a large Chinese family with autosomal dominant middle-frequency sensorineural hearing loss by targeted exome sequencing. Journal of Human Genetics. 60(6). 299–304. 15 indexed citations
15.
Su, Yu, Wenxue Tang, Xue Gao, et al.. (2014). A Novel Mutation in the TECTA Gene in a Chinese Family with Autosomal Dominant Nonsyndromic Hearing Loss. PLoS ONE. 9(2). e89240–e89240. 6 indexed citations
16.
Lu, Yu, Xueya Zhou, Jing Cheng, et al.. (2014). Resolving the genetic heterogeneity of prelingual hearing loss within one family: Performance comparison and application of two targeted next generation sequencing approaches. Journal of Human Genetics. 59(11). 599–607. 12 indexed citations
17.
Gao, Xue, Yu Su, Liping Guan, et al.. (2013). Novel Compound Heterozygous TMC1 Mutations Associated with Autosomal Recessive Hearing Loss in a Chinese Family. PLoS ONE. 8(5). e63026–e63026. 26 indexed citations
18.
Cheng, Jing, Yanping Lu, Jianzhong Li, et al.. (2011). Identification of two novel missense WFS1 mutations, H696Y and R703H, in patients with non-syndromic low-frequency sensorineural hearing loss. Journal of genetics and genomics. 38(2). 71–76. 20 indexed citations
19.
Chen, Jing, Han-Jun Sun, Jing Cheng, et al.. (2010). Novel missense mutations in MYO7A underlying postlingual high- or low-frequency non-syndromic hearing impairment in two large families from China. Journal of Human Genetics. 56(1). 64–70. 30 indexed citations
20.
Li, Jianzhong, Jing Cheng, Yanping Lu, et al.. (2010). Identification of a novel mutation in POU3F4 for prenatal diagnosis in a Chinese family with X-linked nonsyndromic hearing loss. Journal of genetics and genomics. 37(12). 787–793. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026