Lu Song

2.7k citations
59 papers · 1.9k · 1 hit paper · h-index 24

Impact in

Papers in

Lu Song

55 papers receiving 1.9k citations

Lu Song's Hit Papers

DNA Walkers for Biosensing Development 2022 · 139 citations
1390+1+2Years since publication4080120

Peers

Lu Song
Comparison fields: 5 of 141
  • Biological Psychiatry 115
  • Behavioral Neuroscience 92
  • Molecular Biology 1.2k
  • Developmental Neuroscience 55
  • Molecular Medicine 43
Replace Ying Yu with:
Ying Yu China
Jun Sung Kim South Korea
Yawei Zhao China
Young Gyu Chai South Korea
Xue Xue China
Yijing Chen China
Dali Zheng China
Zhiqin Gao China
Ge Jin China
Lu Song relative to Ying Yu China Ying Yu's profile →
Citations per field
00.5×3.4×
Ying Yu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lu Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu Song Line = papers co-authored together Lu Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021188
2 2016166
3 2019150
4
DNA Walkers for Biosensing Development
Hit paper breakdown →
2022139
5 201695
6 202190
7 202189
8 201680
9 201468
10 202063
11 201862
12 201859
13 201351
14 201746
15 201736
16 202035
17 201730
18 202130
19 202128
20 202227

About Lu Song

Lu Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Developmental Neuroscience, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Pluripotent Stem Cells Research (9 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Epigenetics and DNA Methylation (4 papers), Biosensors and Analytical Detection (4 papers) and Developmental Biology and Gene Regulation (4 papers). The work is most often cited by research in Biological Psychiatry (115 citations), Behavioral Neuroscience (92 citations), Molecular Biology (1.2k citations), Developmental Neuroscience (55 citations) and Molecular Medicine (43 citations). Lu Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaolei Zuo, Naihe Jing, Xiuhai Mao, Chunhai Fan, Min Li, Fan Li, Fangfei Yin, Can Wang, Guangdun Peng and Bo Jiang. Their work appears in journals such as Nature Communications, Journal of Hazardous Materials, British Journal of Pharmacology, Journal of the American Chemical Society and Development.

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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