Fenglin Lv

2.0k total citations
45 papers, 1.7k citations indexed

About

Fenglin Lv is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Fenglin Lv has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Immunology. Recurrent topics in Fenglin Lv's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and vaccines and immunoinformatics approaches (4 papers). Fenglin Lv is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and vaccines and immunoinformatics approaches (4 papers). Fenglin Lv collaborates with scholars based in China, Thailand and United States. Fenglin Lv's co-authors include Peng Zhou, Qingwu Yang, Feifei Tian, Jing‐Zhou Wang, Zhicai Shang, Yu Zhou, Sen Lin, Jie Cui, Yang Li and Bingyin Su and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Fenglin Lv

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenglin Lv China 21 866 329 281 225 156 45 1.7k
Steven Lynham United Kingdom 18 753 0.9× 132 0.4× 103 0.4× 46 0.2× 108 0.7× 49 1.4k
Stefani N. Thomas United States 24 1.4k 1.6× 221 0.7× 106 0.4× 65 0.3× 127 0.8× 61 2.1k
Kathy Ragheb United States 10 943 1.1× 144 0.4× 69 0.2× 138 0.6× 106 0.7× 15 1.8k
Rui Hao China 15 1.1k 1.2× 171 0.5× 45 0.2× 64 0.3× 224 1.4× 48 1.6k
Daniel Hornburg Germany 26 1.7k 1.9× 214 0.7× 72 0.3× 484 2.2× 173 1.1× 35 2.8k
Zhi-Gang Jiang China 18 528 0.6× 128 0.4× 144 0.5× 96 0.4× 102 0.7× 55 1.5k
Stefan W. Vetter United States 18 1.1k 1.2× 345 1.0× 44 0.2× 60 0.3× 63 0.4× 45 1.6k
Kirti Sharma India 23 1.9k 2.2× 361 1.1× 143 0.5× 75 0.3× 359 2.3× 67 3.0k
Shunsuke Imai Japan 29 1.4k 1.6× 269 0.8× 103 0.4× 44 0.2× 110 0.7× 138 2.5k
Matthew Biancalana United States 14 1.4k 1.7× 229 0.7× 63 0.2× 179 0.8× 34 0.2× 21 2.8k

Countries citing papers authored by Fenglin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Fenglin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglin Lv. A scholar is included among the top collaborators of Fenglin Lv 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 Fenglin Lv. Fenglin Lv 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.
Adil, Muhammad Faheem, Fenglin Lv, Tingting Li, et al.. (2024). Microbial strategies for lead remediation in agricultural soils and wastewater: mechanisms, applications, and future directions. Frontiers in Microbiology. 15. 1434921–1434921. 16 indexed citations
3.
4.
He, Leilei, Lixia Gao, Chloe Shay, et al.. (2019). Histone deacetylase inhibitors suppress aggressiveness of head and neck squamous cell carcinoma via histone acetylation-independent blockade of the EGFR-Arf1 axis. Journal of Experimental & Clinical Cancer Research. 38(1). 84–84. 35 indexed citations
5.
Yang, Feng, Jiang Gu, Jintao Zou, et al.. (2018). PA0833 Is an OmpA C-Like Protein That Confers Protection Against Pseudomonas aeruginosa Infection. Frontiers in Microbiology. 9. 1062–1062. 26 indexed citations
6.
Wu, Tao, Ping He, Wei Wu, Yingli Chen, & Fenglin Lv. (2018). Targeting oncogenic transcriptional corepressor Nac1 POZ domain with conformationally constrained peptides by cyclization and stapling. Bioorganic Chemistry. 80. 1–10. 25 indexed citations
7.
Yang, Feng, Jiang Gu, Liuyang Yang, et al.. (2017). Protective Efficacy of the Trivalent Pseudomonas aeruginosa Vaccine Candidate PcrV-OprI-Hcp1 in Murine Pneumonia and Burn Models. Scientific Reports. 7(1). 3957–3957. 66 indexed citations
8.
Gao, Lixia, Chloe Shay, Fenglin Lv, Xiuli Wang, & Yong Teng. (2017). Implications of FGF19 on sorafenib-mediated nitric oxide production in hepatocellular carcinoma cells - a short report. Cellular Oncology. 41(1). 85–91. 23 indexed citations
9.
Xiang, Wei, Baoyun Zhang, Fenglin Lv, et al.. (2015). The Inhibitory Effects of RFamide-Related Peptide 3 on Luteinizing Hormone Release Involves an Estradiol-Dependent Manner in Prepubertal but Not in Adult Female Mice1. Biology of Reproduction. 93(2). 30–30. 28 indexed citations
10.
He, Ping, Deli Tan, Hongxiang Liu, Fenglin Lv, & Wei Wu. (2015). The auto-inhibitory state of Rho guanine nucleotide exchange factor ARHGEF5/TIM can be relieved by targeting its SH3 domain with rationally designed peptide aptamers. Biochimie. 111. 10–18. 18 indexed citations
11.
Ya, HU, et al.. (2014). Correlative research of HPV infection and the disease progression of cervical intraepithelial neoplasia.. 43(29). 3895–3896. 1 indexed citations
12.
Fu, Chunjiang, Gang Wu, Fenglin Lv, & Feifei Tian. (2011). Structure-based characterization of the binding of peptide to the human endophilin-1 Src homology 3 domain using position-dependent noncovalent potential analysis. Journal of Molecular Modeling. 18(5). 2153–2161. 5 indexed citations
13.
Tian, Feifei, et al.. (2010). Why OppA protein can bind sequence-independent peptides? A combination of QM/MM, PB/SA, and structure-based QSAR analyses. Amino Acids. 40(2). 493–503. 37 indexed citations
14.
Lv, Fenglin, Feifei Tian, Xiaoli Luo, et al.. (2010). Prediction of Water′s Mobility and Disorder in Protein Crystals Using Novel Local Hydrophobic Descriptors. Molecular Informatics. 29(3). 195–201. 4 indexed citations
15.
Tian, Feifei, Yang Li, Fenglin Lv, & Peng Zhou. (2009). Predicting liquid chromatographic retention times of peptides from the Drosophila melanogaster proteome by machine learning approaches. Analytica Chimica Acta. 644(1-2). 10–16. 31 indexed citations
16.
Lv, Fenglin. (2008). Research of Quality Analysis and Optimization System Based on Web Services. Microcomputer Information.
17.
Tian, Feifei, et al.. (2008). Toward Prediction of Binding Affinities Between the MHC Protein and Its Peptide Ligands Using Quantitative Structure-Affinity Relationship Approach. Protein and Peptide Letters. 15(10). 1033–1043. 24 indexed citations
18.
Zhou, Peng, Feifei Tian, Fenglin Lv, & Zhicai Shang. (2008). Geometric characteristics of hydrogen bonds involving sulfur atoms in proteins. Proteins Structure Function and Bioinformatics. 76(1). 151–163. 222 indexed citations
19.
Yang, Qingwu, et al.. (2006). Reduced cerebral ischemia-reperfusion injury in Toll-like receptor 4 deficient mice. Biochemical and Biophysical Research Communications. 353(2). 509–514. 207 indexed citations
20.
Yang, Qingwu, Fenglin Lv, Peifen Zhu, et al.. (2005). Novel TLR4-antagonizing peptides inhibit LPS-induced release of inflammatory mediators by monocytes. Biochemical and Biophysical Research Communications. 329(3). 846–854. 16 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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