Lai Song

815 total citations
12 papers, 108 citations indexed

About

Lai Song is a scholar working on Molecular Biology, Ecology and Insect Science. According to data from OpenAlex, Lai Song has authored 12 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Insect Science. Recurrent topics in Lai Song's work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (3 papers). Lai Song is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (3 papers). Lai Song collaborates with scholars based in China, Macao and United States. Lai Song's co-authors include Guiming Liu, Fuping Song, Xumin Wang, Qi Peng, Didier Lereclus, Chao Deng, Dafang Huang, Changlong Shu, Jie Zhang and Xingang Li and has published in prestigious journals such as Applied Microbiology and Biotechnology, Archives of Microbiology and Frontiers in Chemistry.

In The Last Decade

Lai Song

12 papers receiving 108 citations

Peers

Lai Song

MB

IS

ECOLO

PS

GENET

Lizhao Geng China

Beatriz Elena Padilla Hurtado Colombia

Yusuf Muhammad Noor Malaysia

Nikita Bisht India

Jean-Baptiste Thibord France

Ernesto Rodríguez-Andrade Spain

Kamel Hatib Israel

Emilie Payen France

Salah E. M. Abo‐Aba Saudi Arabia

Luis F. Rivera United States

Lizhao Geng China

Lai Song

77 ×1.0

MB

11 ×0.3

IS

12 ×0.4

ECOLO

71 ×2.6

PS

18 ×1.8

GENET

Citations per year, relative to Lai Song Lai Song (= 1×) peers Lizhao Geng

Countries citing papers authored by Lai Song

Since Specialization

Citations

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

Fields of papers citing papers by Lai Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lai Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lai Song. A scholar is included among the top collaborators of Lai 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 Lai Song. Lai Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Wang, Haijun, et al.. (2024). Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation. BMC Cardiovascular Disorders. 24(1). 420–420. 1 indexed citations

2.

He, Lihui, et al.. (2024). Study of andrographolide bioactivity against Pseudomonas aeruginosa based on computational methodology and biochemical analysis. Frontiers in Chemistry. 12. 1388545–1388545. 3 indexed citations

3.

Zhang, Xin, Tantan Gao, Qi Peng, et al.. (2018). A strong promoter of a non-cry gene directs expression of the cry1Ac gene in Bacillus thuringiensis. Applied Microbiology and Biotechnology. 102(8). 3687–3699. 13 indexed citations

4.

Li, Xiaoli, Lai Song, Guo‐Liang Wang, et al.. (2016). Complete genome sequence of a deeply branched marine Bacteroidia bacterium Draconibacterium orientale type strain FH5T. Marine Genomics. 26. 13–16. 3 indexed citations

5.

Shi, Guoxiang, Mingming Su, Junrong Liang, et al.. (2016). Complete genome sequence and comparative genome analysis of a new special Yersinia enterocolitica. Archives of Microbiology. 198(7). 673–687. 6 indexed citations

6.

Yu, Yi, Wenting Wang, Linping Wang, et al.. (2016). Draft Genome Sequence of Paecilomyces hepiali , Isolated from Cordyceps sinensis. Genome Announcements. 4(4). 6 indexed citations

7.

Liu, Guiming, Chao Deng, Lai Song, et al.. (2014). Draft Genome Sequence of Bacillus thuringiensis Strain LM1212, Isolated from the Cadaver of an Oryctes gigas Larva in Madagascar. Genome Announcements. 2(3). 5 indexed citations

8.

Zheng, Hui, Lihong Guo, Ning Du, et al.. (2014). Draft Genome Sequences of Two Clinical Isolates of Streptococcus mutans. Genome Announcements. 2(3). 1 indexed citations

9.

Liu, Guiming, Lai Song, Changlong Shu, et al.. (2013). Complete Genome Sequence of Bacillus thuringiensis subsp. kurstaki Strain HD73. Genome Announcements. 1(2). e0008013–e0008013. 48 indexed citations

10.

Che, Shuai, Lai Song, Weizhi Song, et al.. (2013). Complete Genome Sequence of Antarctic Bacterium Psychrobacter sp. Strain G. Genome Announcements. 1(5). 9 indexed citations

11.

Song, Lai, Lufeng Ren, Xingang Li, et al.. (2013). Complete Genome Sequence of Marinobacter sp. BSs20148. Genome Announcements. 1(3). 11 indexed citations

12.

Yin, Jinlong, Guiming Liu, Yong Yu, et al.. (2013). Complete Genome Sequence of Glaciecola psychrophila Strain 170 ^T. Genome Announcements. 1(3). 2 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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