Lan Yang

2.9k total citations · 1 hit paper
81 papers, 1.9k citations indexed

About

Lan Yang is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Lan Yang has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Pulmonary and Respiratory Medicine and 14 papers in Molecular Biology. Recurrent topics in Lan Yang's work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Lan Yang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Lan Yang collaborates with scholars based in China, United States and United Kingdom. Lan Yang's co-authors include Yufeng Zhou, Jinrong Fu, Damo Xu, Xueru Xie, Weimin Li, Bojiang Chen, Guangjin Tian, Yuncui Gan, Weimin Li and Dan Liu and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Lan Yang

75 papers receiving 1.9k citations

Hit Papers

The signal pathways and treatment of cytokine storm in CO... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The signal pathways and treatment of cytokine storm in COVID-19
    2021 393 citations Lan Yang, Xueru Xie et al. Signal Transduction and Targeted Therapy profile →

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 23 537 381 312 292 254 81 1.9k
Qiang Xiao China 21 908 1.7× 536 1.4× 290 0.9× 252 0.9× 194 0.8× 40 2.0k
Liang Peng China 22 552 1.0× 489 1.3× 249 0.8× 154 0.5× 130 0.5× 106 2.2k
Peihua Cao China 24 473 0.9× 314 0.8× 179 0.6× 142 0.5× 107 0.4× 100 1.9k
Qing Deng China 19 301 0.6× 668 1.8× 248 0.8× 146 0.5× 195 0.8× 86 1.8k
Hui Long China 20 637 1.2× 421 1.1× 259 0.8× 118 0.4× 311 1.2× 67 1.7k
Zeyu Chen China 19 437 0.8× 495 1.3× 697 2.2× 147 0.5× 183 0.7× 63 2.3k
Lin Liu China 27 156 0.3× 636 1.7× 260 0.8× 214 0.7× 130 0.5× 161 2.2k
Desheng Hu China 27 1.0k 1.9× 767 2.0× 428 1.4× 384 1.3× 489 1.9× 102 3.3k
Li Yang China 27 299 0.6× 626 1.6× 215 0.7× 186 0.6× 140 0.6× 133 2.5k

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.
Ma, Luyuan, Lixiang Ma, Xiao-Ting Li, et al.. (2025). Case Report: TAFRO syndrome misdiagnosed as liver cirrhosis due to persistent abdominal distension. Frontiers in Immunology. 16. 1554198–1554198.
2.
Yang, Lan, et al.. (2025). Apoptosis in polycystic ovary syndrome: Mechanisms and therapeutic implications. Life Sciences. 363. 123394–123394. 5 indexed citations
3.
Wang, Guoqing, et al.. (2025). Nomogram to predict progression from preserved ratio impaired spirometry to chronic obstructive pulmonary disease. Scientific Reports. 15(1). 10447–10447. 1 indexed citations
4.
Chen, Wei, et al.. (2023). SiamC Transformer: Siamese coupling swin transformer Multi-Scale semantic segmentation network for vegetation extraction under shadow conditions. Computers and Electronics in Agriculture. 213. 108245–108245. 5 indexed citations
5.
Yang, Lan, Ruonan Yang, Jing Cao, et al.. (2023). AB0535 EFFICACY AND SAFETY OF BELIMUMAB IN PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS:A SYSTEMATIC REVIEW AND META-ANALYSIS. Annals of the Rheumatic Diseases. 82. 1466–1466.
6.
Wang, Weikai, Lan Yang, Yanxia Wang, et al.. (2023). Meta-Analysis of Cardiovascular Risk Factors in Offspring of Preeclampsia Pregnancies. Diagnostics. 13(4). 812–812. 8 indexed citations
7.
8.
9.
Zhang, Xiaoli, et al.. (2022). Glutathione Peroxidase 4 as a Therapeutic Target for Anti-Colorectal Cancer Drug-Tolerant Persister Cells. Frontiers in Oncology. 12. 913669–913669. 31 indexed citations
10.
Wang, Ying, et al.. (2021). The Accuracy of 16S rRNA Polymerase Chain Reaction for the Diagnosis of Neonatal Sepsis: A Meta‐Analysis. BioMed Research International. 2021(1). 5550387–5550387. 5 indexed citations
11.
Yang, Lan, et al.. (2021). The signal pathways and treatment of cytokine storm in COVID-19. Signal Transduction and Targeted Therapy. 6(1). 255–255. 393 indexed citations breakdown →
12.
Wang, Ying, et al.. (2021). Value of the Neutrophil-Lymphocyte Ratio in Predicting COVID-19 Severity: A Meta-analysis. Disease Markers. 2021. 1–10. 31 indexed citations
13.
Chen, Bojiang, Lan Yang, Rui Zhang, Wenxin Luo, & Weimin Li. (2020). Radiomics: an overview in lung cancer management—a narrative review. Annals of Translational Medicine. 8(18). 1191–1191. 25 indexed citations
14.
Guo, Jixiang, Chengdi Wang, Xiuyuan Xu, et al.. (2020). DeepLN: an artificial intelligence-based automated system for lung cancer screening. Annals of Translational Medicine. 8(18). 1126–1126. 24 indexed citations
15.
16.
Han, Ping, Lan Yang, Xiaowei Huang, et al.. (2018). A traumatic hepatic artery pseudoaneurysm and arterioportal fistula, with severe diarrhea as the first symptom. Medicine. 97(7). e9893–e9893. 4 indexed citations
17.
Yang, Lan, Jing Wang, Juan Cheng, Yuan Wang, & Wenli Lu. (2018). Quality assurance target for community-based breast cancer screening in China: a model simulation. BMC Cancer. 18(1). 261–261. 10 indexed citations
18.
Li, Xiaohua, et al.. (2016). MiR-433 inhibits retinoblastoma malignancy by suppressing Notch1 and PAX6 expression. Biomedicine & Pharmacotherapy. 82. 247–255. 30 indexed citations
19.
Yang, Lan, Panpan Tan, Wei Zhou, et al.. (2012). N-Acetylcysteine Protects Against Hypoxia Mimetic-Induced Autophagy by Targeting the HIF-1α Pathway in Retinal Ganglion Cells. Cellular and Molecular Neurobiology. 32(8). 1275–1285. 35 indexed citations
20.
He, Li, Yanqing Ding, Chi‐Ming Che, et al.. (2006). Expression of elevated levels of pro‐inflammatory cytokines in SARS‐CoV‐infected ACE2+ cells in SARS patients: relation to the acute lung injury and pathogenesis of SARS. The Journal of Pathology. 210(3). 288–297. 297 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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