Lu Song

2.7k total citations · 1 hit paper
59 papers, 1.9k citations indexed

About

Lu Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Lu Song has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Lu Song's work include Pluripotent Stem Cells Research (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Lu Song is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Lu Song collaborates with scholars based in China, United States and Australia. Lu Song's co-authors include Xiaolei Zuo, Naihe Jing, Xiuhai Mao, Chunhai Fan, Min Li, Fan Li, Fangfei Yin, Can Wang, Bo Jiang and Guangdun Peng and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Lu Song

55 papers receiving 1.9k citations

Hit Papers

DNA Walkers for Biosensing Development 2022 2026 2023 2024 2022 40 80 120
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. DNA Walkers for Biosensing Development
    2022 139 citations Lu Song, Xiaolei Zuo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Song China 24 1.2k 359 134 115 101 59 1.9k
Jun Sung Kim South Korea 21 929 0.8× 327 0.9× 86 0.6× 67 0.6× 82 0.8× 45 2.3k
Young Gyu Chai South Korea 30 1.3k 1.1× 187 0.5× 288 2.1× 53 0.5× 67 0.7× 133 2.5k
Xue Xue China 30 1.1k 0.9× 701 2.0× 144 1.1× 54 0.5× 119 1.2× 93 3.0k
Nan Xiao China 26 1.1k 0.9× 208 0.6× 213 1.6× 29 0.3× 100 1.0× 124 2.7k
Huina Zhang China 29 1.1k 0.9× 221 0.6× 127 0.9× 20 0.2× 125 1.2× 74 2.5k
Wenjing Zheng China 28 1.8k 1.5× 187 0.5× 115 0.9× 36 0.3× 76 0.8× 62 3.3k
Yiming Zhang China 22 1.1k 0.9× 131 0.4× 134 1.0× 78 0.7× 57 0.6× 106 2.0k
Ying Yu China 30 1.3k 1.1× 127 0.4× 68 0.5× 99 0.9× 211 2.1× 114 2.7k
Stuart G. Jarrett United States 18 1.4k 1.1× 172 0.5× 209 1.6× 29 0.3× 210 2.1× 30 3.6k
Yunlong Huang China 30 1.3k 1.1× 67 0.2× 325 2.4× 154 1.3× 73 0.7× 73 2.9k

Countries citing papers authored by Lu Song

Since Specialization
Citations

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

Fields of papers citing papers by Lu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Song. A scholar is included among the top collaborators of Lu Song 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 Lu Song. Lu Song 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.
Xiao, Wenjuan, Qi Chen, Jie Xiang, et al.. (2025). DNA Framework-Enabled Ocular Barrier Penetration for Microinvasive Antiangiogenic Therapy. Journal of the American Chemical Society. 147(9). 7545–7554. 6 indexed citations
2.
3.
Yang, Shuyuan, Lu Song, Yu Zhang, et al.. (2024). Tianqi pingchan granule promotes recovery of glymphatic system function in a rat model of l-DOPA-induced dyskinesia. Journal of Traditional and Complementary Medicine. 15(4). 380–387.
4.
Song, Lu, Pan Li, Fan Li, et al.. (2024). Massively multiplexed optical recording with polychromatic DNA frameworks. Matter. 8(2). 101902–101902. 3 indexed citations
5.
Zhao, Yuwen, Mengyu Pan, Jing Gan, et al.. (2024). Peripheral biomarkers of Parkinson’s disease and its correlation with clinical symptoms: a case-control study. BMC Neurology. 24(1). 417–417. 1 indexed citations
6.
Tang, Yajun, Jing Wang, Yang Xu, et al.. (2024). The chondrogenic differentiation of BMSCs in collagen hydrogels and the effect of MMPs among cell-material interactions. SHILAP Revista de lepidopterología. 6(1). 1 indexed citations
7.
8.
Ye, Dekai, Min Li, Tingting Zhai, et al.. (2020). Encapsulation and release of living tumor cells using hydrogels with the hybridization chain reaction. Nature Protocols. 15(7). 2163–2185. 63 indexed citations
9.
Jiang, Guanyu, et al.. (2020). Aerosol transmission, an indispensable route of COVID-19 spread: case study of a department-store cluster. Frontiers of Environmental Science & Engineering. 15(3). 46–46. 35 indexed citations
10.
11.
Sun, Na, Xiaoming Yu, Denghui Liu, et al.. (2017). Inference of differentiation time for single cell transcriptomes using cell population reference data. Nature Communications. 8(1). 25 indexed citations
12.
Yuan, Zigao, Qinsheng Sun, Shaopeng Chen, et al.. (2017). Design, synthesis and anticancer potential of NSC-319745 hydroxamic acid derivatives as DNMT and HDAC inhibitors. European Journal of Medicinal Chemistry. 134. 281–292. 46 indexed citations
13.
Xie, Chang, Yaping Zhang, Lu Song, et al.. (2016). Genome editing with CRISPR/Cas9 in postnatal mice corrects PRKAG2 cardiac syndrome. Cell Research. 26(10). 1099–1111. 95 indexed citations
14.
Peng, Guangdun, Shengbao Suo, Jun Chen, et al.. (2016). Spatial Transcriptome for the Molecular Annotation of Lineage Fates and Cell Identity in Mid-gastrula Mouse Embryo. Developmental Cell. 36(6). 681–697. 166 indexed citations
15.
Song, Lu, Na Sun, Guangdun Peng, et al.. (2015). Genome-wide ChIP-seq and RNA-seq analyses of Pou3f1 during mouse pluripotent stem cell neural fate commitment. Genomics Data. 5. 375–377. 7 indexed citations
16.
Song, Lu, et al.. (2014). Nanolayer encapsulation of insulin- chitosan complexes improves efficiency of oral insulin delivery. SHILAP Revista de lepidopterología. 23 indexed citations
17.
Song, Lu. (2014). Use It or Lose It? the Impact of Grandchild-Caring on Grandparents' Cognitive Functioning in Rural China. XVIII ISA World Congress of Sociology (July 13-19, 2014). 2 indexed citations
18.
Li, Lingyu, Chang Liu, Steffen Biechele, et al.. (2013). Location of transient ectodermal progenitor potential in mouse development. Development. 140(22). 4533–4543. 51 indexed citations
19.
Song, Lu. (2011). SPATIAL SYSTEM OF URBAN TOURIST FLOWS:A CASE STUDY OF NANJING. Economic Geography. 3 indexed citations
20.
Song, Lu, et al.. (2010). Primary lymphoma of bone: a case report and review of the literature. Medical Oncology. 28(1). 202–206. 3 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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