Da Song

900 total citations
37 papers, 691 citations indexed

About

Da Song is a scholar working on Molecular Biology, Ecology and Pharmacology. According to data from OpenAlex, Da Song has authored 37 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Ecology and 6 papers in Pharmacology. Recurrent topics in Da Song's work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolism and Applications (5 papers). Da Song is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolism and Applications (5 papers). Da Song collaborates with scholars based in China, South Korea and Japan. Da Song's co-authors include Meiying Xu, Guoping Sun, Jeung Hee An, Zhenqiang Wu, Kan Shi, Gong Chen, Lei Quan, Kang‐Hyun Chung, Gyeong-Ji Kim and Marco Pistolozzi and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Da Song

33 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Song China 14 178 174 109 109 71 37 691
M.H. Vijaykumar India 6 282 1.6× 71 0.4× 69 0.6× 69 0.6× 53 0.7× 10 1000
Nik Azmi Nik Mahmood Malaysia 16 275 1.5× 180 1.0× 75 0.7× 25 0.2× 142 2.0× 32 1.1k
Meilin Zhu China 20 303 1.7× 170 1.0× 355 3.3× 67 0.6× 79 1.1× 64 1.1k
Sucheta Singh India 17 296 1.7× 51 0.3× 165 1.5× 68 0.6× 69 1.0× 42 1.1k
Wenyu Lü China 23 926 5.2× 129 0.7× 205 1.9× 141 1.3× 187 2.6× 79 1.3k
Yun Tang China 14 503 2.8× 67 0.4× 94 0.9× 33 0.3× 95 1.3× 24 917
Su Feng China 20 387 2.2× 56 0.3× 99 0.9× 24 0.2× 210 3.0× 37 992
Maliha Sarfraz Pakistan 18 138 0.8× 44 0.3× 152 1.4× 44 0.4× 39 0.5× 39 740
Shuang Zhu China 23 495 2.8× 75 0.4× 154 1.4× 48 0.4× 65 0.9× 74 1.3k
Shan Wu China 14 283 1.6× 30 0.2× 77 0.7× 64 0.6× 41 0.6× 27 1.0k

Countries citing papers authored by Da Song

Since Specialization
Citations

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

Fields of papers citing papers by Da Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Song

This figure shows the co-authorship network connecting the top 25 collaborators of Da Song. A scholar is included among the top collaborators of Da 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 Da Song. Da 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.
Xie, Xuan, et al.. (2025). Online Safety Analysis for LLMs: A Benchmark, an Assessment, and a Path Forward. IEEE Transactions on Artificial Intelligence. 7(3). 1626–1641.
2.
3.
Song, Da, Xingjuan Chen, Hui Yao, et al.. (2023). The variations of native plasmids greatly affect the cell surface hydrophobicity of sphingomonads. mSystems. 8(6). e0086223–e0086223. 5 indexed citations
4.
Chen, Xingjuan, Hui Yao, Da Song, et al.. (2022). A novel antimony-selective ArsR transcriptional repressor and its specific detection of antimony trioxide in environmental samples via bacterial biosensor. Biosensors and Bioelectronics. 220. 114838–114838. 4 indexed citations
5.
Yang, Yonggang, Fei Liu, Da Song, et al.. (2022). Cysteine-Mediated Extracellular Electron Transfer of Lysinibacillus varians GY32. Microbiology Spectrum. 10(6). e0279822–e0279822. 8 indexed citations
6.
7.
Song, Da, Jun Guo, Guoping Sun, et al.. (2020). Lack of Periplasmic Non-heme Protein SorA Increases Shewanella decolorationis Current Generation. Frontiers in Microbiology. 11. 262–262. 4 indexed citations
8.
Qian, Youfen, Meiying Xu, Tongchu Deng, et al.. (2020). Synergistic interactions of Desulfovibrio and Petrimonas for sulfate-reduction coupling polycyclic aromatic hydrocarbon degradation. Journal of Hazardous Materials. 407. 124385–124385. 84 indexed citations
9.
Song, Da, Xingjuan Chen, Meiying Xu, et al.. (2019). Adaptive Evolution of Sphingobium hydrophobicum C1T in Electronic Waste Contaminated River Sediment. Frontiers in Microbiology. 10. 2263–2263. 9 indexed citations
10.
Song, Da, Minjae Kim, EonSeon Jin, et al.. (2019). Cryoprotective effect of an antifreeze protein purified from Tenebrio molitor larvae on vegetables. Food Hydrocolloids. 94. 585–591. 46 indexed citations
11.
Kim, Gyeong-Ji, et al.. (2018). Effects of Drying Methods on the Quality Characteristics and Antioxidant Activity of Pumpkin (Cucurbita moschata Duch.). The Korean Journal of Food And Nutrition. 31(6). 933–939.
12.
Chen, Xingjuan, et al.. (2018). Role and mechanism of cell-surface hydrophobicity in the adaptation of Sphingobium hydrophobicum to electronic-waste contaminated sediment. Applied Microbiology and Biotechnology. 102(6). 2803–2815. 18 indexed citations
13.
Song, Da, et al.. (2018). Penicillin Binding Protein from Pediococcus acidilactici Isolated from Nuruk for Food Biopreservative.. PubMed. 47(11). 1653–1659. 1 indexed citations
14.
An, Jeung Hee, et al.. (2017). Quality Characteristics and Antioxidant Activity of Dioscorea bulbifera, under Various Oligosaccharide Pre-Soaking Condition. The Korean Journal of Food And Nutrition. 30(6). 1176–1183. 1 indexed citations
15.
Song, Da, et al.. (2017). 밀가루를 대체한 다양한 종류의 쌀가루 머핀의 품질특성 및 항산화 효과. Korean Journal of Food Science and Technology. 49(5). 567–573. 2 indexed citations
16.
Chen, Xingjuan, Da Song, Jingjing Xu, Guoping Sun, & Meiying Xu. (2017). Microbial depassivation of Fe(0) for contaminant removal under semi-aerobic conditions. Applied Microbiology and Biotechnology. 101(23-24). 8595–8605. 3 indexed citations
17.
Song, Da, Yang Hee Jo, Jong Hoon Ahn, et al.. (2017). Sesquiterpenes from fruits of Torilis japonica with inhibitory activity on melanin synthesis in B16 cells. Journal of Natural Medicines. 72(1). 155–160. 4 indexed citations
18.
Chen, Xingjuan, et al.. (2016). Sphingobium hydrophobicum sp. nov., a hydrophobic bacterium isolated from electronic-waste-contaminated sediment. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 66(10). 3912–3916. 18 indexed citations
19.
Shi, Kan, Da Song, Gong Chen, et al.. (2015). Controlling composition and color characteristics of Monascus pigments by pH and nitrogen sources in submerged fermentation. Journal of Bioscience and Bioengineering. 120(2). 145–154. 98 indexed citations
20.
Chen, Gong, Kan Shi, Da Song, Lei Quan, & Zhenqiang Wu. (2015). The pigment characteristics and productivity shifting in high cell density culture of Monascus anka mycelia. BMC Biotechnology. 15(1). 72–72. 50 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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