Fan Liang

1.4k total citations
35 papers, 1.0k citations indexed

About

Fan Liang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fan Liang has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Health, Toxicology and Mutagenesis and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fan Liang's work include Effects and risks of endocrine disrupting chemicals (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Neonatal Respiratory Health Research (4 papers). Fan Liang is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Neonatal Respiratory Health Research (4 papers). Fan Liang collaborates with scholars based in China and United States. Fan Liang's co-authors include Yan Feng, Wei Cheng, Ren Zhou, Yan Wang, Hongying Wei, Jingshu Wang, Gong Yang, Lina Yang, Guang‐Biao Zhou and Chen Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Oncogene.

In The Last Decade

Fan Liang

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fan Liang China 18 349 304 245 191 180 35 1.0k
Wen‐Yang Hu United States 19 472 1.4× 216 0.7× 95 0.4× 180 0.9× 108 0.6× 44 1.2k
Jiaxin Zhao China 21 441 1.3× 251 0.8× 367 1.5× 136 0.7× 202 1.1× 86 1.5k
Courtney A. Granville United States 16 692 2.0× 276 0.9× 214 0.9× 131 0.7× 95 0.5× 22 1.3k
Guoqiang Sun China 22 730 2.1× 136 0.4× 286 1.2× 240 1.3× 248 1.4× 59 1.5k
Jaime Chu United States 19 343 1.0× 197 0.6× 83 0.3× 105 0.5× 141 0.8× 41 1.3k
Shiro Yokoyama Japan 20 893 2.6× 224 0.7× 436 1.8× 86 0.5× 60 0.3× 40 1.7k
Shufeng Zhang China 23 521 1.5× 147 0.5× 126 0.5× 112 0.6× 45 0.3× 96 1.5k

Countries citing papers authored by Fan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Liang. A scholar is included among the top collaborators of Fan Liang 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 Fan Liang. Fan Liang 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.
Liang, Fan, Chun Chen, Yang Zeng, et al.. (2025). Atmospheric detection, prevalence, transmission, health and ecological consequences of antibiotic resistance genes and resistant bacteria: A comprehensive review. Emerging contaminants. 11(3). 100514–100514. 2 indexed citations
2.
Liang, Fan, et al.. (2024). Clinicopathological and molecular features of tubo-ovarian carcinosarcomas: a series of 51 cases. Frontiers in Oncology. 14. 1427154–1427154. 1 indexed citations
3.
Zheng, Jingyi, et al.. (2023). Topological Data Analysis for Scalp EEG Signal Processing. 549–553. 1 indexed citations
5.
Zhang, Chen, Jiandong Zhang, Fan Liang, et al.. (2022). Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient samples. Frontiers of Medicine. 16(4). 596–609. 14 indexed citations
6.
Liang, Fan, Guizhen Wang, Yan Wang, et al.. (2022). Tobacco carcinogen induces tryptophan metabolism and immune suppression via induction of indoleamine 2,3-dioxygenase 1. Signal Transduction and Targeted Therapy. 7(1). 311–311. 35 indexed citations
7.
Li, Yiying, Fei He, Qiwang Lin, et al.. (2021). ZEB2 facilitates peritoneal metastasis by regulating the invasiveness and tumorigenesis of cancer stem-like cells in high-grade serous ovarian cancers. Oncogene. 40(32). 5131–5141. 26 indexed citations
8.
Wang, Guizhen, Qun Zhao, Hui Zhang, et al.. (2021). Degradation of SARS-CoV-2 receptor ACE2 by the E3 ubiquitin ligase Skp2 in lung epithelial cells. Frontiers of Medicine. 15(2). 252–263. 28 indexed citations
9.
Cheng, Wei, Xiaolan Li, Fan Liang, et al.. (2020). Use of embryonic stem cell-derived cardiomyocytes to study cardiotoxicity of bisphenol AF via the GPER/CAM/eNOS pathway. Toxicology. 432. 152380–152380. 16 indexed citations
10.
Zhou, Ren, Wei Cheng, Yan Feng, et al.. (2020). Combined effects of BPA and PFOS on fetal cardiac development: In vitro and in vivo experiments. Environmental Toxicology and Pharmacology. 80. 103434–103434. 24 indexed citations
11.
Zhang, Aiping, et al.. (2020). <p>HSPA12B Secreted by Tumor-Associated Endothelial Cells Might Induce M2 Polarization of Macrophages via Activating PI3K/Akt/mTOR Signaling</p>. OncoTargets and Therapy. Volume 13. 9103–9111. 23 indexed citations
12.
Zhang, Li, Hong Yu, Fan Liang, et al.. (2019). The Aryl hydrocarbon receptor mediates tobacco-induced PD-L1 expression and is associated with response to immunotherapy. Nature Communications. 10(1). 1125–1125. 159 indexed citations
14.
Wang, Wei, Wei Zhou, Shaowei Wu, et al.. (2019). Perfluoroalkyl substances exposure and risk of polycystic ovarian syndrome related infertility in Chinese women. Environmental Pollution. 247. 824–831. 60 indexed citations
15.
Wei, Hongying, Yan Feng, Fan Liang, et al.. (2017). Role of oxidative stress and DNA hydroxymethylation in the neurotoxicity of fine particulate matter. Toxicology. 380. 94–103. 58 indexed citations
16.
Wei, Hongying, Fan Liang, Ge Meng, et al.. (2016). Redox/methylation mediated abnormal DNA methylation as regulators of ambient fine particulate matter-induced neurodevelopment related impairment in human neuronal cells. Scientific Reports. 6(1). 33402–33402. 58 indexed citations
17.
Li, Shuqing, Lina Yang, Jingshu Wang, et al.. (2016). Analysis of the chemotherapeutic effects of a propadiene compound on malignant ovarian cancer cells. Oncotarget. 7(35). 57145–57159. 6 indexed citations
18.
Cheng, Ting, Wan Huan-ying, Qijian Cheng, et al.. (2015). Computed tomography manifestation of acute exacerbation of chronic obstructive pulmonary disease: A pilot study. Experimental and Therapeutic Medicine. 11(2). 519–529. 12 indexed citations
19.
Liang, Fan, Yun Feng, Wan Huan-ying, Guochao Shi, & Wenquan Niu. (2014). Clinicopathological and Demographical Characteristics of Non-Small Cell Lung Cancer Patients with ALK Rearrangements: A Systematic Review and Meta-Analysis. PLoS ONE. 9(6). e100866–e100866. 52 indexed citations
20.
Gong, Yi, Fan Liang, Wan Huan-ying, et al.. (2011). Lack of Association Between the TGF-β1 Gene and Development of COPD in Asians: A Case–Control Study and Meta-analysis. Lung. 189(3). 213–223. 14 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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