Fuping Song

2.5k total citations
126 papers, 1.9k citations indexed

About

Fuping Song is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Fuping Song has authored 126 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 71 papers in Insect Science and 40 papers in Plant Science. Recurrent topics in Fuping Song's work include Insect Resistance and Genetics (99 papers), Insect and Pesticide Research (53 papers) and Entomopathogenic Microorganisms in Pest Control (46 papers). Fuping Song is often cited by papers focused on Insect Resistance and Genetics (99 papers), Insect and Pesticide Research (53 papers) and Entomopathogenic Microorganisms in Pest Control (46 papers). Fuping Song collaborates with scholars based in China, United Kingdom and Mexico. Fuping Song's co-authors include Jie Zhang, Dafang Huang, Changlong Shu, Qi Peng, Jie Zhang, Kanglai He, Lili Geng, Didier Lereclus, Chao Deng and Neil Crickmore and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Fuping Song

123 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
Fuping Song China 25 1.6k 1.1k 685 159 117 126 1.9k
James A. Baum United States 19 2.1k 1.4× 1.2k 1.1× 1.0k 1.5× 174 1.1× 87 0.7× 28 2.5k
Zihni Demirbağ Türkiye 25 1.1k 0.7× 1.2k 1.1× 636 0.9× 94 0.6× 105 0.9× 129 1.8k
Clélia Ferreira Brazil 28 1.1k 0.7× 1.1k 1.0× 447 0.7× 238 1.5× 207 1.8× 66 1.8k
Yutao Xiao China 28 1.8k 1.1× 1.5k 1.4× 1.1k 1.7× 95 0.6× 128 1.1× 97 2.4k
James K. Roberts United States 19 2.0k 1.3× 876 0.8× 1.3k 1.9× 148 0.9× 93 0.8× 25 2.4k
Yongjun Zhang China 25 1.3k 0.8× 1.4k 1.2× 619 0.9× 69 0.4× 96 0.8× 62 1.8k
Yanhua Fan China 23 1.3k 0.8× 1.4k 1.2× 528 0.8× 83 0.5× 99 0.8× 52 1.8k
Clauvis Nji Tizi Taning Belgium 24 1.3k 0.8× 968 0.9× 845 1.2× 150 0.9× 19 0.2× 57 1.8k
R. G. Monnerat Brazil 23 1.3k 0.9× 1.2k 1.1× 858 1.3× 39 0.2× 79 0.7× 116 1.7k
Xijie Guo China 23 857 0.5× 573 0.5× 284 0.4× 96 0.6× 58 0.5× 87 1.5k

Countries citing papers authored by Fuping Song

Since Specialization
Citations

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

Fields of papers citing papers by Fuping Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuping Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fuping Song. A scholar is included among the top collaborators of Fuping 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 Fuping Song. Fuping 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.
Yang, Jianbo, Yan Xia, Li Zhu, et al.. (2025). Screening signal peptides from Bacillus thuringiensis secretome for heterologous protein secretion. Applied Microbiology and Biotechnology. 109(1). 147–147.
2.
Zhang, Xin, et al.. (2024). A Novel Regulator PepR Regulates the Expression of Dipeptidase Gene pepV in Bacillus thuringiensis. Microorganisms. 12(3). 579–579. 1 indexed citations
3.
Zhang, Jie, et al.. (2024). Transcriptome sequencing analysis reveals the molecular mechanism of sepsis-induced muscle atrophy. Journal of Thoracic Disease. 16(11). 7751–7770. 1 indexed citations
4.
5.
Wang, Jiaojiao, Qi Peng, Leyla Slamti, et al.. (2022). Deletion of the novel gene mother cell lysis X results in Cry1Ac encapsulation in the Bacillus thuringiensis HD73. Frontiers in Microbiology. 13. 951830–951830. 1 indexed citations
6.
Liang, Dong, et al.. (2021). Complete Genome Sequence and Function Gene Identify of Prometryne-Degrading Strain Pseudomonas sp. DY-1. Microorganisms. 9(6). 1261–1261. 5 indexed citations
7.
Qin, Jiaxin, Christophe Buisson, Fuping Song, et al.. (2020). A Bacillus thuringiensis Chitin-Binding Protein is Involved in Insect Peritrophic Matrix Adhesion and Takes Part in the Infection Process. Toxins. 12(4). 252–252. 11 indexed citations
8.
Wang, Wenbin, Huijun Li, Jingyi Huang, et al.. (2020). Establishment and Evaluation of a Novel Method Based on Loop-Mediated Isothermal Amplification for the Rapid Diagnosis of Thalassemia Genes. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Peng, Qi, et al.. (2020). Transcription in the acetoin catabolic pathway is regulated by AcoR and CcpA in Bacillus thuringiensis. Microbiological Research. 235. 126438–126438. 20 indexed citations
10.
Gao, Tantan, et al.. (2019). Effect of Sigma H on sporulation in Bacillus thuringiensis.. 1 indexed citations
11.
Wang, Zeyu, Yuxiao Liu, Gemei Liang, et al.. (2016). Identification of ABCC2 as a binding protein of Cry1Ac on brush border membrane vesicles fromHelicoverpa armigeraby an improved pull‐down assay. MicrobiologyOpen. 5(4). 659–669. 31 indexed citations
12.
Zheng, Qingyun, Qi Peng, Lixin Du, et al.. (2014). Screening of cry-type promoters with strong activity and application in Cry protein encapsulation in a sigK mutant. Applied Microbiology and Biotechnology. 98(18). 7901–7909. 13 indexed citations
13.
Shu, Changlong, Jingtao Zhang, Guihua Chen, et al.. (2013). Use of a pooled clone method to isolate a novel Bacillus thuringiensis Cry2A toxin with activity against Ostrinia furnacalis. Journal of Invertebrate Pathology. 114(1). 31–33. 12 indexed citations
14.
Shu, Changlong, et al.. (2013). Characterization of cry9Da4, cry9Eb2, and cry9Ee1 genes from Bacillus thuringiensis strain T03B001. Applied Microbiology and Biotechnology. 97(22). 9705–9713. 21 indexed citations
15.
Lang, Zhihong, Zhu Li, Fuping Song, et al.. (2012). Insecticidal effect of transgenic tobacco harboring cry2Ab4 or vip3Aa11 gene on Agrotis ypsilon.. Journal of Agricultural Science and Technology. 14(5). 42–48. 2 indexed citations
16.
Lang, Zhihong, et al.. (2012). Studies on insect-resistant transgenic maize (Zea mays L.) harboring Bt cry1Ah and cry1Ie genes.. Journal of Agricultural Science and Technology. 14(4). 39–45. 6 indexed citations
17.
Shu, Changlong, et al.. (2010). Cloning, expression and insecticidal activity of two cry9Aa genes from Bacillus thuringiensis strains.. Acta Phytophylacica Sinica. 37(6). 541–546. 3 indexed citations
18.
Wang, Yao, Chao Deng, Qi Peng, et al.. (2010). [Effect of quorum sensing response regulator nprR deletion on expression of cry protein in Bacillus thuringiensis].. PubMed. 50(11). 1550–5. 3 indexed citations
19.
Shu, Changlong, et al.. (2009). Identification, cloning and expression for novel cry7Ab gene and its insecticidal activity.. Journal of Pharmaceutical and Biomedical Sciences. 17(5). 908–913. 3 indexed citations
20.
Song, Fuping, et al.. (2005). Screening of Zwittermicin A-producing strains of Bacillus thuringiensis and cloning and expression of zmaR gene. Zhongguo nongye Kexue. 1 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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