Baisong Lu

2.4k total citations
63 papers, 1.9k citations indexed

About

Baisong Lu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Baisong Lu has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 17 papers in Genetics and 5 papers in Physiology. Recurrent topics in Baisong Lu's work include CRISPR and Genetic Engineering (21 papers), Mitochondrial Function and Pathology (8 papers) and Pluripotent Stem Cells Research (8 papers). Baisong Lu is often cited by papers focused on CRISPR and Genetic Engineering (21 papers), Mitochondrial Function and Pathology (8 papers) and Pluripotent Stem Cells Research (8 papers). Baisong Lu collaborates with scholars based in United States, China and Canada. Baisong Lu's co-authors include Colin E. Bishop, Anthony Atala, Pin Lyu, Leigh C. Murphy, Etienne Leygue, Kyung Whan Yoo, Manish Yadav, Yan Jiao, Ravi Singh and Baocheng Peng and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Baisong Lu

62 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baisong Lu United States 27 1.4k 629 220 201 123 63 1.9k
Yun Feng China 19 1.5k 1.1× 304 0.5× 143 0.7× 218 1.1× 105 0.9× 40 2.3k
Shang‐Hsun Yang Taiwan 28 1.5k 1.1× 352 0.6× 86 0.4× 252 1.3× 141 1.1× 77 2.3k
Dario De Cesare Italy 23 1.7k 1.3× 595 0.9× 314 1.4× 353 1.8× 246 2.0× 36 2.5k
I‐Shing Yu Taiwan 26 1.2k 0.9× 240 0.4× 138 0.6× 292 1.5× 131 1.1× 72 1.9k
Tamae Ohye Japan 27 1.4k 1.0× 569 0.9× 150 0.7× 68 0.3× 91 0.7× 71 2.6k
Bernard Jost France 27 1.6k 1.2× 434 0.7× 226 1.0× 297 1.5× 35 0.3× 48 2.3k
Aliesha González‐Arenas Mexico 22 505 0.4× 524 0.8× 163 0.7× 134 0.7× 158 1.3× 61 1.4k
Masafumi Muratani Japan 23 1.7k 1.3× 329 0.5× 300 1.4× 198 1.0× 65 0.5× 68 2.4k
Yoshinobu Sugitani Japan 18 1.9k 1.4× 382 0.6× 199 0.9× 238 1.2× 179 1.5× 26 3.1k
Rika Suzuki Japan 18 1.6k 1.2× 696 1.1× 99 0.5× 108 0.5× 199 1.6× 57 2.3k

Countries citing papers authored by Baisong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Baisong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baisong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Baisong Lu. A scholar is included among the top collaborators of Baisong 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 Baisong Lu. Baisong 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
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Song, Qianqian, Shiny Amala Priya Rajan, Aleksander Skardal, et al.. (2023). Detection of lineage-reprogramming efficiency of tumor cells in a 3D-printed liver-on-a-chip model. Theranostics. 13(14). 4905–4918. 12 indexed citations
3.
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Hu, Yunping, Baisong Lu, Zhiyong Deng, Fei Xing, & Wesley Hsu. (2023). Virus-like particle-based delivery of Cas9/guide RNA ribonucleoprotein efficiently edits the brachyury gene and inhibits chordoma growth in vivo. Discover Oncology. 14(1). 70–70. 7 indexed citations
5.
Liu, Chuanqi, Qingfeng Li, Jian‐xing Ma, et al.. (2023). Exosome-mediated renal protection: Halting the progression of fibrosis. Genes & Diseases. 11(6). 101117–101117. 7 indexed citations
6.
Yoo, Kyung Whan, Manish Yadav, Qianqian Song, Anthony Atala, & Baisong Lu. (2022). Targeting DNA polymerase to DNA double-strand breaks reduces DNA deletion size and increases templated insertions generated by CRISPR/Cas9. Nucleic Acids Research. 50(7). 3944–3957. 13 indexed citations
7.
Yadav, Manish, Kyung Whan Yoo, Anthony Atala, & Baisong Lu. (2022). Lentiviral vector mediated gene therapy for type I Dent disease ameliorates Dent disease-like phenotypes for three months in ClC-5 null mice. Molecular Therapy — Methods & Clinical Development. 27. 149–166. 9 indexed citations
8.
Lyu, Pin & Baisong Lu. (2022). New Advances in Using Virus-like Particles and Related Technologies for Eukaryotic Genome Editing Delivery. International Journal of Molecular Sciences. 23(15). 8750–8750. 11 indexed citations
9.
Wasala, Nalinda B., Jin-Young Han, Yongping Yue, et al.. (2022). The gRNA Vector Level Determines the Outcome of Systemic AAV CRISPR Therapy for Duchenne Muscular Dystrophy. Human Gene Therapy. 33(9-10). 518–528. 5 indexed citations
10.
Li, Ning, et al.. (2020). Heterochronic Parabiosis: Old Blood Induces Changes in Mitochondrial Structure and Function of Young Mice. The Journals of Gerontology Series A. 76(3). 434–439. 16 indexed citations
11.
Lyu, Pin, Kyung Whan Yoo, Manish Yadav, et al.. (2020). Sensitive and reliable evaluation of single-cut sgRNAs to restore dystrophin by a GFP-reporter assay. PLoS ONE. 15(9). e0239468–e0239468. 8 indexed citations
12.
Lyu, Pin, et al.. (2019). Delivering Cas9/sgRNA ribonucleoprotein (RNP) by lentiviral capsid-based bionanoparticles for efficient ‘hit-and-run’ genome editing. Nucleic Acids Research. 47(17). e99–e99. 95 indexed citations
13.
Lu, Baisong, Vishruti Makani, Farideh Mehraein‐Ghomi, et al.. (2019). Delivering SaCas9 mRNA by lentivirus-like bionanoparticles for transient expression and efficient genome editing. Nucleic Acids Research. 47(8). e44–e44. 74 indexed citations
14.
Yoo, Kyung Whan, Ning Li, Vishruti Makani, et al.. (2018). Large-Scale Preparation of Extracellular Vesicles Enriched with Specific microRNA. Tissue Engineering Part C Methods. 24(11). 637–644. 22 indexed citations
15.
Jiang, Yaodong, et al.. (2017). Mitochondria-targeted antioxidant SkQ1 improves spermatogenesis inImmp2lmutant mice. Andrologia. 50(2). e12848–e12848. 7 indexed citations
16.
Lü, Pin, Huanhuan Li, Ning Li, et al.. (2017). MEX3C interacts with adaptor-related protein complex 2 and involves in miR-451a exosomal sorting. PLoS ONE. 12(10). e0185992–e0185992. 58 indexed citations
17.
Pan, Chuanying, Baisong Lu, Hong Chen, & Colin E. Bishop. (2009). Reprogramming human fibroblasts using HIV-1 TAT recombinant proteins OCT4, SOX2, KLF4 and c-MYC. Molecular Biology Reports. 37(4). 2117–2124. 42 indexed citations
18.
Zhao, Qingguo, et al.. (2005). Germ-cell specific protein gametogenetin protein 2 (GGN2), expression in the testis, and association with intracellular membrane. Molecular Reproduction and Development. 72(1). 31–39. 14 indexed citations
19.
Lu, Baisong & Colin E. Bishop. (2003). Mouse GGN1 and GGN3, Two Germ Cell-specific Proteins from the Single Gene Ggn, Interact with Mouse POG and Play a Role in Spermatogenesis. Journal of Biological Chemistry. 278(18). 16289–16296. 33 indexed citations
20.
Lu, Baisong, Etienne Leygue, Helmut Dotzlaw, et al.. (1998). Estrogen receptor-β mRNA variants in human and murine tissues. Molecular and Cellular Endocrinology. 138(1-2). 199–203. 117 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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