Jun Song

3.8k total citations · 1 hit paper
81 papers, 2.3k citations indexed

About

Jun Song is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jun Song has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Surgery and 14 papers in Genetics. Recurrent topics in Jun Song's work include CRISPR and Genetic Engineering (19 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (9 papers). Jun Song is often cited by papers focused on CRISPR and Genetic Engineering (19 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (9 papers). Jun Song collaborates with scholars based in China, United States and South Korea. Jun Song's co-authors include Dongshan Yang, Jifeng Zhang, Jie Xu, Y. Eugene Chen, Tianqing Zhu, Hakho Lee, Sidi Chen, Phillip A. Sharp, Kaijie Zheng and Neville E. Sanjana and has published in prestigious journals such as Cell, Nature Communications and The Journal of Immunology.

In The Last Decade

Jun Song

77 papers receiving 2.2k citations

Hit Papers

Genome-wide CRISPR Screen in a Mouse Model of Tumor Growt... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Song China 25 1.5k 569 233 219 193 81 2.3k
Jie Xu United States 27 1.4k 0.9× 554 1.0× 462 2.0× 209 1.0× 195 1.0× 117 2.6k
Asta Laiho Finland 25 1.8k 1.2× 476 0.8× 187 0.8× 103 0.5× 115 0.6× 65 2.7k
Søren Germer United States 21 1.0k 0.7× 510 0.9× 154 0.7× 156 0.7× 181 0.9× 36 2.4k
Zhihu Zhao China 23 1.9k 1.2× 526 0.9× 395 1.7× 145 0.7× 248 1.3× 73 2.8k
Sun Shim Choi South Korea 27 1.3k 0.8× 336 0.6× 187 0.8× 211 1.0× 146 0.8× 75 2.3k
Kun Tang China 24 865 0.6× 697 1.2× 215 0.9× 434 2.0× 98 0.5× 57 2.4k
Craig A. Hodges United States 27 1.5k 1.0× 442 0.8× 279 1.2× 74 0.3× 135 0.7× 58 3.1k
Paolo Uva Italy 26 1.0k 0.7× 713 1.3× 138 0.6× 195 0.9× 81 0.4× 77 2.3k
Sha Wang China 25 1.4k 0.9× 454 0.8× 524 2.2× 203 0.9× 136 0.7× 112 2.7k
Zhiqin Wang China 29 1.5k 1.0× 237 0.4× 151 0.6× 338 1.5× 159 0.8× 107 3.0k

Countries citing papers authored by Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Song. A scholar is included among the top collaborators of Jun 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 Jun Song. Jun 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.
Song, Jun, et al.. (2025). A novel probabilistic method for assessing the seismic resilience of subway systems across four dimensions. International Journal of Disaster Risk Reduction. 131. 105898–105898.
2.
Guo, Jia, et al.. (2024). Deer antler stem cells immortalization by modulation of hTERT and the small extracellular vesicles characters. Frontiers in Veterinary Science. 11. 1440855–1440855. 1 indexed citations
4.
Wang, Kaifang, Rong Cai, Xuzheng Chen, et al.. (2023). Melatonin enhances anti-tumor immunity by targeting macrophages PD-L1 via exosomes derived from gastric cancer cells. Molecular and Cellular Endocrinology. 568-569. 111917–111917. 28 indexed citations
6.
Xiu, Kemao, Laura R. Saunders, Luan Wen, et al.. (2022). Delivery of CRISPR/Cas9 Plasmid DNA by Hyperbranched Polymeric Nanoparticles Enables Efficient Gene Editing. Cells. 12(1). 156–156. 15 indexed citations
7.
Song, Jun, et al.. (2022). TULP3 silencing suppresses cell proliferation, migration and invasion in gastric cancer via the PTEN/Akt/Snail pathway. Cancer Treatment and Research Communications. 31. 100551–100551. 2 indexed citations
8.
Jiang, Yudong, Jiandi Wu, Gangping Li, et al.. (2022). Massive gastrointestinal bleeding after endoscopic rubber band ligation of internal hemorrhoids: A case report. World Journal of Clinical Cases. 10(19). 6656–6663. 3 indexed citations
9.
Feng, Sisi, Zhiguang Zhang, Yiqun Mo, et al.. (2022). RNA-Seq approach to investigate the effects of melatonin on bone marrow-derived dendritic cells from dextran sodium sulfate-induced colitis mice. Toxicology. 481. 153354–153354. 17 indexed citations
10.
Lin, Weili, Jie Xu, Jun Song, et al.. (2021). Improving the genome assembly of rabbits with long-read sequencing. Genomics. 113(5). 3216–3223. 11 indexed citations
11.
Bhatti, Umar F., Qiufang Deng, Ben E. Biesterveld, et al.. (2020). Cl-Amidine Improves Survival and Attenuates Kidney Injury in a Rabbit Model of Endotoxic Shock. Surgical Infections. 22(4). 421–426. 13 indexed citations
12.
Liu, Pi, Jun Song, Nonghua Lv, et al.. (2017). Double-catheter lavage combined with percutaneous flexible endoscopic debridement for infected pancreatic necrosis failed to percutaneous catheter drainage. BMC Gastroenterology. 17(1). 155–155. 25 indexed citations
13.
Chen, Sidi, Neville E. Sanjana, Kaijie Zheng, et al.. (2015). Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis. Cell. 160(6). 1246–1260. 633 indexed citations breakdown →
14.
Song, Jian, et al.. (2015). Altered Fruit and Seed Development of Transgenic Rapeseed (Brassica napus) Over-Expressing MicroRNA394. PLoS ONE. 10(5). e0125427–e0125427. 19 indexed citations
15.
Wang, Yu, Nana Fan, Jun Song, et al.. (2014). Generation of knockout rabbits using transcription activator-like effector nucleases. Cell Regeneration. 3(1). 3:3–3:3. 36 indexed citations
16.
Song, Jun, et al.. (2011). Effect of Donor Cell Type on Nuclear Remodelling in Rabbit Somatic Cell Nuclear Transfer Embryos. Reproduction in Domestic Animals. 47(4). 544–552. 16 indexed citations
17.
Bao, Ji, Zhidan Tu, Guangheng Luo, et al.. (2008). R2: Identification of renal potential progenitor/stem cells that participate in the renal regeneration processes of kidney allograft fibrosis. Nephrology. 13(6). 500–507. 8 indexed citations
18.
Wan, Rong, et al.. (2006). The effect of cysteine protease inhibitor of snake venom (sv--cystatin) on mouse melanoma cells invasion in vitro and in vivo. Chieh P'ou Hsueh Pao. 37(6). 640–645. 4 indexed citations
19.
Song, Jun, Zhaobin Song, Bisong Yue, & Wenjing Zheng. (2005). Study on genetic diversity based on AFLP fingerprint of rock carp from Hejiang section of Yangtze River. Sichuan dongwu. 24(4). 495–499. 4 indexed citations
20.
Song, Jun, et al.. (2002). The Effect of the Remnants after Cataract Extraction on the Lens Epithelial Cell Culture.. Journal of the Korean Ophthalmological Society. 43(5). 872–882.

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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