Lan Yang

3.9k total citations · 3 hit papers
74 papers, 2.5k citations indexed

About

Lan Yang is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Lan Yang has authored 74 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 14 papers in Plant Science and 12 papers in Ecology. Recurrent topics in Lan Yang's work include CRISPR and Genetic Engineering (14 papers), Bacteriophages and microbial interactions (10 papers) and Genomics and Phylogenetic Studies (7 papers). Lan Yang is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), Bacteriophages and microbial interactions (10 papers) and Genomics and Phylogenetic Studies (7 papers). Lan Yang collaborates with scholars based in China, United States and Mongolia. Lan Yang's co-authors include Jian‐Kang Zhu, Botao Zhang, Zhengyan Feng, Yanfei Mao, Nanfei Xu, Hui Zhang, Jinshan Zhang, Heng Zhang, Xiaodong Liu and Liang Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lan Yang

70 papers receiving 2.5k citations

Hit Papers

The CRISPR/Cas9 system produces specific and homozygous t... 2014 2026 2018 2022 2014 2014 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Yang China 22 1.7k 1.1k 245 223 180 74 2.5k
Sergio Encarnación‐Guevara Mexico 30 1.5k 0.9× 774 0.7× 221 0.9× 94 0.4× 389 2.2× 119 2.7k
Zhouxi Wang United States 8 1.8k 1.0× 908 0.9× 338 1.4× 166 0.7× 269 1.5× 8 2.9k
Gail P. Ferguson United Kingdom 27 1.0k 0.6× 783 0.7× 236 1.0× 73 0.3× 245 1.4× 41 2.4k
Xiuyun Zhao China 27 1.1k 0.7× 1.5k 1.4× 192 0.8× 122 0.5× 176 1.0× 114 2.5k
Chang‐Jin Kim South Korea 31 1.7k 1.0× 584 0.5× 790 3.2× 193 0.9× 109 0.6× 119 2.8k
Lin Fang China 19 1.9k 1.1× 1.5k 1.4× 239 1.0× 252 1.1× 346 1.9× 54 3.4k
Mingzhang Yang United States 3 1.6k 0.9× 1.1k 1.0× 396 1.6× 151 0.7× 226 1.3× 5 2.7k
Min He China 34 1.1k 0.7× 1.2k 1.2× 137 0.6× 260 1.2× 323 1.8× 142 3.5k
Soo‐Jin Kim South Korea 24 1.9k 1.1× 567 0.5× 447 1.8× 62 0.3× 141 0.8× 145 2.7k
Xiao‐Yan Song China 28 1.0k 0.6× 405 0.4× 288 1.2× 95 0.4× 109 0.6× 110 2.2k

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Yang. A scholar is included among the top collaborators of Lan Yang 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 Lan Yang. Lan Yang 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, Lan, Xiao-Xuan Wu, & Dacheng Liu. (2025). Mechanism and application of yeast and its culture in regulating intestinal antioxidant defense in ruminants. Frontiers in Veterinary Science. 12. 1657244–1657244.
2.
Yang, Lan, Xin Liu, Yujun Xu, et al.. (2025). Genetically engineered macrophages reverse the immunosuppressive tumor microenvironment and improve immunotherapeutic efficacy in TNBC. Molecular Therapy. 33(7). 3339–3359. 5 indexed citations
3.
Yang, Lan, et al.. (2024). Myosotis: An Efficiently Pipelined and Parameterized Multiscalar Multiplication Architecture via Data Sharing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(7). 2738–2750.
4.
5.
Gao, Yajing, Wenfeng Xiao, Xueru Xie, et al.. (2024). Aryl hydrocarbon receptor confers protection against macrophage pyroptosis and intestinal inflammation through regulating polyamine biosynthesis. Theranostics. 14(11). 4218–4239. 16 indexed citations
6.
Yang, Lan, et al.. (2023). CRISPR/Cas9 Gene Editing System Can Alter Gene Expression and Induce DNA Damage Accumulation. Genes. 14(4). 806–806. 4 indexed citations
7.
Hu, Wei, Lan Yang, Renju Liu, et al.. (2023). EPSPS regulates cell elongation by disrupting the balance of lignin and flavonoid biosynthesis in cotton. Journal of Integrative Agriculture. 23(10). 3437–3456.
8.
Li, Fan, Lan Yang, Xudong Guo, et al.. (2023). Imunocapture Magnetic Beads Enhanced and Ultrasensitive CRISPR-Cas13a-Assisted Electrochemical Biosensor for Rapid Detection of SARS-CoV-2. Biosensors. 13(6). 597–597. 15 indexed citations
9.
Li, Linlin, Qiu Zhong, Juan Bao, et al.. (2023). First‐in‐human application of double‐stranded RNA bacteriophage in the treatment of pulmonary Pseudomonas aeruginosa infection. Microbial Biotechnology. 16(4). 862–867. 19 indexed citations
11.
Yang, Zhaoen, et al.. (2022). Recent progression and future perspectives in cotton genomic breeding. Journal of Integrative Plant Biology. 65(2). 548–569. 56 indexed citations
13.
Yao, Lihua, et al.. (2022). Pharmacokinetic/Pharmacodynamic Relationships of Tulathromycin Against Actinobacillus pleuropneumoniae in a Porcine Tissue Cage Infection Model. Frontiers in Veterinary Science. 9. 822432–822432. 4 indexed citations
14.
Li, Hao, Xue Dong, Yanhe Wang, et al.. (2021). Sensitive and Easy-Read CRISPR Strip for COVID-19 Rapid Point-of-Care Testing. The CRISPR Journal. 4(3). 392–399. 36 indexed citations
15.
Yang, Lan, Jing Lü, Shuwen Zhang, et al.. (2020). Whole-genome sequencing and genomic-based acid tolerance mechanisms of Lactobacillus delbrueckii subsp. bulgaricus LJJ. Applied Microbiology and Biotechnology. 104(17). 7631–7642. 15 indexed citations
16.
Chen, Yibao, Guanghao Guo, Erchao Sun, et al.. (2019). Isolation of a T7-Like Lytic Pasteurella Bacteriophage vB_PmuP_PHB01 and Its Potential Use in Therapy against Pasteurella multocida Infections. Viruses. 11(1). 86–86. 25 indexed citations
17.
Tang, Li‐Juan, Jing‐dong Zhou, Zi‐jun Xu, et al.. (2019). DOK6 promoter methylation serves as a potential biomarker affecting prognosis in de novo acute myeloid leukemia. Cancer Medicine. 8(14). 6393–6402. 3 indexed citations
18.
Yang, Lan, Jing‐dong Zhou, Ting‐juan Zhang, et al.. (2018). Overexpression of lncRNA <em>PANDAR </em>predicts adverse prognosis in acute myeloid leukemia. Cancer Management and Research. Volume 10. 4999–5007. 30 indexed citations
19.
Du, Fuliang, Yi Li, Lan Yang, et al.. (2015). Derivation of Rabbit Embryonic Stem Cells from Vitrified–Thawed Embryos. Cellular Reprogramming. 17(6). 453–462. 5 indexed citations
20.
Xue, Fei, Yinghong Ma, Jifeng Zhang, et al.. (2012). Recombinant Rabbit Leukemia Inhibitory Factor and Rabbit Embryonic Fibroblasts Support the Derivation and Maintenance of Rabbit Embryonic Stem Cells. Cellular Reprogramming. 14(4). 364–376. 15 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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