Guanling Huang

6.1k total citations · 3 hit papers
51 papers, 4.5k citations indexed

About

Guanling Huang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Guanling Huang has authored 51 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 11 papers in Immunology. Recurrent topics in Guanling Huang's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Neonatal Respiratory Health Research (8 papers) and Immune Cell Function and Interaction (7 papers). Guanling Huang is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Neonatal Respiratory Health Research (8 papers) and Immune Cell Function and Interaction (7 papers). Guanling Huang collaborates with scholars based in China, United States and Taiwan. Guanling Huang's co-authors include Zusen Fan, Buqing Ye, Pingping Zhu, Ying Du, Pengyan Xia, Yanying Wang, Lei He, Jiayi Wu, Yong Tian and Benyu Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Guanling Huang

49 papers receiving 4.5k citations

Hit Papers

The Long Noncoding RNA ln... 2015 2026 2018 2022 2015 2018 2020 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
Guanling Huang China 30 2.5k 1.5k 1.0k 753 585 51 4.5k
Raúl Ramos United States 15 2.5k 1.0× 692 0.5× 1.7k 1.6× 640 0.8× 898 1.5× 32 5.1k
Joost van den Oord Belgium 28 2.9k 1.2× 957 0.6× 1.6k 1.6× 499 0.7× 1.4k 2.4× 79 5.5k
Stephen Henderson United Kingdom 35 2.6k 1.0× 1.1k 0.8× 709 0.7× 661 0.9× 1.2k 2.0× 58 4.8k
Ivan Chang United States 9 2.3k 0.9× 643 0.4× 1.5k 1.5× 609 0.8× 844 1.4× 15 4.1k
Ilya Korsunsky United States 12 3.1k 1.3× 749 0.5× 1.7k 1.6× 434 0.6× 747 1.3× 19 4.9k
Jasper Wouters Belgium 23 3.3k 1.3× 845 0.6× 1.4k 1.3× 379 0.5× 1.1k 1.8× 44 4.9k
Yuriy Baglaenko United States 12 3.0k 1.2× 701 0.5× 1.8k 1.8× 418 0.6× 747 1.3× 24 4.9k
Peter C. Scacheri United States 41 4.8k 1.9× 937 0.6× 424 0.4× 556 0.7× 769 1.3× 80 6.5k
Bryan D. Young United Kingdom 61 5.2k 2.1× 1.6k 1.1× 900 0.9× 647 0.9× 1.6k 2.7× 191 9.2k
Bengt Hallberg Sweden 41 3.1k 1.2× 784 0.5× 710 0.7× 972 1.3× 1.4k 2.4× 113 5.2k

Countries citing papers authored by Guanling Huang

Since Specialization
Citations

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

Fields of papers citing papers by Guanling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanling Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanling Huang. A scholar is included among the top collaborators of Guanling Huang 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 Guanling Huang. Guanling Huang 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, Jiurong, Guanling Huang, Xue Liu, et al.. (2024). Lipid Deficiency Contributes to Impaired Alveolar Progenitor Cell Function in Aging and Idiopathic Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 71(2). 242–253. 9 indexed citations
3.
Huang, Guanling, Gen Yan, Vrishika Kulur, et al.. (2024). Arrestin beta 1 Regulates Alveolar Progenitor Renewal and Lung Fibrosis. PubMed. 1(2). 10006–10006. 2 indexed citations
4.
Zhang, Han, et al.. (2024). Visual effect of air pollution on the need for arousal and variety-seeking behavior. Frontiers in Psychology. 15. 1342267–1342267. 1 indexed citations
5.
Teng, Ching‐I, et al.. (2023). External articulation and internal stabilization: Using identification stages to enhance online gamer loyalty. Decision Support Systems. 176. 114077–114077. 8 indexed citations
6.
Liu, Xue, Xuexi Zhang, Guanling Huang, et al.. (2023). Multiple Fibroblast Subtypes Contribute to Matrix Deposition in Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 69(1). 45–56. 38 indexed citations
7.
Liu, Xue, Yan Geng, Jiurong Liang, et al.. (2022). HER2 drives lung fibrosis by activating a metastatic cancer signature in invasive lung fibroblasts. The Journal of Experimental Medicine. 219(10). 24 indexed citations
8.
Liu, Xue, Simon C. Rowan, Jiurong Liang, et al.. (2021). Categorization of lung mesenchymal cells in development and fibrosis. iScience. 24(6). 102551–102551. 54 indexed citations
9.
Xie, Ting, Vrishika Kulur, Ningshan Liu, et al.. (2021). Mesenchymal growth hormone receptor deficiency leads to failure of alveolar progenitor cell function and severe pulmonary fibrosis. Science Advances. 7(24). 14 indexed citations
10.
Ye, Lin, et al.. (2020). Circular RNA Gprc5a Promotes HCC Progression by Activating YAP1/TEAD1 Signalling Pathway by Sponging miR-1283. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Yao, Changfu, Xiangrong Guan, Gianni Carraro, et al.. (2020). Senescence of Alveolar Type 2 Cells Drives Progressive Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 203(6). 707–717. 306 indexed citations breakdown →
12.
Rowan, Simon C., Changfu Yao, Nan Deng, et al.. (2020). Definition and Signatures of Lung Fibroblast Populations in Development and Fibrosis in Mice and Men. Zenodo (CERN European Organization for Nuclear Research). A4025–A4025. 4 indexed citations
13.
Geng, Yan, Xue Liu, Jiurong Liang, et al.. (2019). PD-L1 on invasive fibroblasts drives fibrosis in a humanized model of idiopathic pulmonary fibrosis. JCI Insight. 4(6). 90 indexed citations
14.
Ye, Buqing, Benyu Liu, Liuliu Yang, et al.. (2018). LncKdm2b controls self‐renewal of embryonic stem cells via activating expression of transcription factor Zbtb3. The EMBO Journal. 37(8). 73 indexed citations
15.
Xie, Ting, Yizhou Wang, Nan Deng, et al.. (2018). Single-Cell Deconvolution of Fibroblast Heterogeneity in Mouse Pulmonary Fibrosis. Cell Reports. 22(13). 3625–3640. 364 indexed citations breakdown →
16.
Liang, Jiurong, Ningshan Liu, Xue Liu, et al.. (2018). Mitogen-activated Protein Kinase–activated Protein Kinase 2 Inhibition Attenuates Fibroblast Invasion and Severe Lung Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 60(1). 41–48. 20 indexed citations
17.
Yan, Xinlong, Dongdong Zhang, Wei Wu, et al.. (2017). Mesenchymal Stem Cells Promote Hepatocarcinogenesis via lncRNA–MUF Interaction with ANXA2 and miR-34a. Cancer Research. 77(23). 6704–6716. 207 indexed citations
18.
Zhu, Pingping, Yanying Wang, Jiayi Wu, et al.. (2016). LncBRM initiates YAP1 signalling activation to drive self-renewal of liver cancer stem cells. Nature Communications. 7(1). 13608–13608. 231 indexed citations
19.
Huang, Guanling, John J. Rosowski, Michael E. Ravicz, & William T. Peake. (2002). Mammalian ear specializations in arid habitats: structural and functional evidence from sand cat ( Felis margarita ). Journal of Comparative Physiology A. 188(9). 663–681. 43 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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