Lan Yang

1.9k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Lan Yang is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Lan Yang has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Epidemiology. Recurrent topics in Lan Yang's work include SARS-CoV-2 and COVID-19 Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Bone health and treatments (2 papers). Lan Yang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Bone health and treatments (2 papers). Lan Yang collaborates with scholars based in China, Ireland and United Kingdom. Lan Yang's co-authors include Xinghui Liu, Huan Han, Rui Liu, Fang Liu, Jie Li, Saihua Huang, Xiao Han, Caiyan Zhang, Xiang Wang and Jinrong Fu and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Journal of Controlled Release.

In The Last Decade

Lan Yang

19 papers receiving 1.3k citations

Hit Papers

Prominent changes in blood coagulation of patients with S... 2020 2026 2022 2024 2020 250 500 750

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 12 819 433 284 199 174 22 1.3k
Nicolas Noël France 22 352 0.4× 206 0.5× 138 0.5× 167 0.8× 34 0.2× 90 1.6k
Silvia Bellesi Italy 15 167 0.2× 86 0.2× 180 0.6× 127 0.6× 32 0.2× 49 726
Haolong Li China 11 274 0.3× 95 0.2× 81 0.3× 81 0.4× 24 0.1× 56 624
Michael D. Tarantino United States 31 177 0.2× 99 0.2× 67 0.2× 190 1.0× 180 1.0× 127 2.6k
Tiraje Çelkan Türkiye 19 195 0.2× 99 0.2× 180 0.6× 329 1.7× 16 0.1× 123 1.4k
Catherine Bagot United Kingdom 18 138 0.2× 96 0.2× 66 0.2× 274 1.4× 414 2.4× 46 2.0k
Deniz Aslan Türkiye 14 84 0.1× 46 0.1× 145 0.5× 93 0.5× 48 0.3× 50 707
Hiroshi Takahashi Japan 17 80 0.1× 86 0.2× 145 0.5× 171 0.9× 38 0.2× 66 1.0k

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.
Brennan, Attracta, Bryan Whelan, Lan Yang, et al.. (2025). DXA and cardiovascular disease in rheumatoid arthritis: A scoping review. Journal of Clinical Densitometry. 28(2). 101582–101582.
3.
Wu, Jin, Qi Chen, Lan Yang, Chen Tang, & Yonglin Wang. (2025). Detection of pine wood nematodes by droplet digital PCR, qPCR, and RPA-LFA. Phytopathology Research. 7(1).
4.
Li, Qiangyi, et al.. (2024). Assessment of the interaction between digital infrastructure and ecological resilience: Insights from Yangtze River Delta Urban Agglomeration in China. Journal of Cleaner Production. 486. 144364–144364. 12 indexed citations
5.
Yang, Lan, et al.. (2024). Overcoming multiple barriers to deliver photo-gene system for glioma-targeted combined therapy. Journal of Controlled Release. 376. 542–552. 2 indexed citations
6.
Yang, Lan, Mary Dempsey, Attracta Brennan, et al.. (2023). Ireland DXA-FRAX may differ significantly and substantially to Web-FRAX. Archives of Osteoporosis. 18(1). 43–43. 1 indexed citations
7.
Chen, Wei, Xuepeng Zhang, Wenwu Zhao, et al.. (2022). Environmental factors and spatiotemporal distribution characteristics of the global outbreaks of the highly pathogenic avian influenza H5N1. Environmental Science and Pollution Research. 29(29). 44175–44185. 15 indexed citations
8.
Yang, Lan, Tingting Zhang, Linlin Li, et al.. (2022). Characterization of Pseudomonas aeruginosa Bacteriophage L5 Which Requires Type IV Pili for Infection. Frontiers in Microbiology. 13. 907958–907958. 5 indexed citations
9.
Li, Li, et al.. (2022). Spatio-Temporal Characteristics and Influencing Factors of Ecological Risk in China’s North–South Transition Zone. Sustainability. 14(9). 5464–5464. 8 indexed citations
10.
Guo, Tuanmao, Yanli Xing, Zhong‐Ning Chen, et al.. (2021). Core-binding factor beta is required for osteoblast differentiation during fibula fracture healing. Journal of Orthopaedic Surgery and Research. 16(1). 313–313. 3 indexed citations
11.
Li, Jie, et al.. (2021). Transcriptome Classification Reveals Molecular Subgroups in Patients with Hepatitis B Virus. Computational and Mathematical Methods in Medicine. 2021. 1–9. 3 indexed citations
12.
Mao, Dan, et al.. (2020). MicroRNA‐101a‐3p could be involved in the pathogenesis of temporomandibular joint osteoarthritis by mediating UBE2D1 and FZD4. Journal of Oral Pathology and Medicine. 50(2). 236–243. 16 indexed citations
13.
Zhong, Qiu, Lan Yang, Linlin Li, et al.. (2020). Transcriptomic Analysis Reveals the Dependency of Pseudomonas aeruginosa Genes for Double-Stranded RNA Bacteriophage phiYY Infection Cycle. iScience. 23(9). 101437–101437. 14 indexed citations
14.
Liu, Rui, Ying Wang, Jie Li, et al.. (2020). Decreased T cell populations contribute to the increased severity of COVID-19. Clinica Chimica Acta. 508. 110–114. 79 indexed citations
15.
Xia, Li, Xiang Wang, Lijuan Liu, et al.. (2020). lnc-BAZ2B promotes M2 macrophage activation and inflammation in children with asthma through stabilizing BAZ2B pre-mRNA. Journal of Allergy and Clinical Immunology. 147(3). 921–932.e9. 55 indexed citations
16.
Wang, Shuxiao, Huilin Li, Zheng Kou, et al.. (2020). Highly sensitive and specific detection of hepatitis B virus DNA and drug resistance mutations utilizing the PCR-based CRISPR-Cas13a system. Clinical Microbiology and Infection. 27(3). 443–450. 65 indexed citations
17.
Han, Huan, Lan Yang, Rui Liu, et al.. (2020). Prominent changes in blood coagulation of patients with SARS-CoV-2 infection. Clinical Chemistry and Laboratory Medicine (CCLM). 58(7). 1116–1120. 864 indexed citations breakdown →
18.
Fu, Jinrong, Xia Li, Ching‐Hsiung Lin, et al.. (2019). Particulate matter of 2.5 μm or less in diameter disturbs the balance of TH17/regulatory T cells by targeting glutamate oxaloacetate transaminase 1 and hypoxia-inducible factor 1α in an asthma model. Journal of Allergy and Clinical Immunology. 145(1). 402–414. 88 indexed citations
19.
Liu, Yan, Yun Hu, Xia Zhang, et al.. (2018). [Effects of Bisphosphonates on Beclin1 and LC3Ⅱ Induced by High-glucose in Rat Bone Marrow Mesenchymal Stem Cells].. PubMed. 49(5). 694–699. 1 indexed citations
20.
Zhu, Yunhua, Chengwu Zhang, Li Lu, et al.. (2009). Wip1 Regulates the Generation of New Neural Cells in the Adult Olfactory Bulb through p53-Dependent Cell Cycle Control. Stem Cells. 27(6). 1433–1442. 46 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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