Haiyang Tang

4.9k total citations
107 papers, 2.9k citations indexed

About

Haiyang Tang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Haiyang Tang has authored 107 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pulmonary and Respiratory Medicine, 47 papers in Molecular Biology and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Haiyang Tang's work include Pulmonary Hypertension Research and Treatments (42 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers) and Nitric Oxide and Endothelin Effects (11 papers). Haiyang Tang is often cited by papers focused on Pulmonary Hypertension Research and Treatments (42 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers) and Nitric Oxide and Endothelin Effects (11 papers). Haiyang Tang collaborates with scholars based in China, United States and Japan. Haiyang Tang's co-authors include Jason X.‐J. Yuan, Ayako Makino, Stephen M. Black, Kimberly A. Smith, Richard D. Ye, Ramon J. Ayon, Guofei Zhou, Joe G. N. Garcia, Tianji Chen and Shanshan Song and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Haiyang Tang

102 papers receiving 2.8k citations

Peers

Haiyang Tang
Fei Han China
Diego F. Alvarez United States
Zhichao Li China
Lin Zhang China
Hong Yang China
Koichi Sato Japan
Takeshi Adachi Japan
Kenji Okajima Japan
Menglong Wang China
Qing Lü United States
Fei Han China
Haiyang Tang
Citations per year, relative to Haiyang Tang Haiyang Tang (= 1×) peers Fei Han

Countries citing papers authored by Haiyang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haiyang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Tang. A scholar is included among the top collaborators of Haiyang Tang 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 Haiyang Tang. Haiyang Tang 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.
Tang, Zhuoyun, Yong Kang, Haiyang Tang, et al.. (2024). Magnetically Actuated Microrobot Equipped with Electron‐Extracting Nanohooks for Enhanced Photothermal Fungal Eradication. Advanced Functional Materials. 35(10). 4 indexed citations
2.
Yang, Kai, Fengcai Wei, Lishi Chen, et al.. (2024). The HIF2α-dependent upregulation of SETDB1 facilitates hypoxia-induced functional and phenotypical changes of pulmonary microvascular endothelial cells. American Journal of Physiology-Cell Physiology. 328(1). C40–C55.
3.
Tang, Haiyang, et al.. (2024). TPCNet: representation learning for H i mapping. Monthly Notices of the Royal Astronomical Society. 536(1). 962–987. 1 indexed citations
4.
Liang, Shuxin, Zi Yang, Shiyun Liu, et al.. (2023). SARS-CoV-2 spike protein induces IL-18-mediated cardiopulmonary inflammation via reduced mitophagy. Signal Transduction and Targeted Therapy. 8(1). 108–108. 45 indexed citations
5.
Yang, Donghui, Mengfei Zhang, Qizhong Lu, et al.. (2023). UCHL1 maintains microenvironmental homeostasis in goat germline stem cells. The FASEB Journal. 37(12). e23306–e23306. 1 indexed citations
6.
Lü, Qing, Xutong Sun, Manivannan Yegambaram, et al.. (2023). Nitration-mediated activation of the small GTPase RhoA stimulates cellular glycolysis through enhanced mitochondrial fission. Journal of Biological Chemistry. 299(4). 103067–103067. 11 indexed citations
7.
Lu, Jiaxin, et al.. (2023). Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords. International Journal of Nursing Sciences. 10(2). 268–275. 4 indexed citations
8.
Liang, Shuxin, Ying Han, Zi Yang, et al.. (2022). The Novel Lysosomal Autophagy Inhibitor (ROC-325) Ameliorates Experimental Pulmonary Hypertension. Hypertension. 80(1). 70–83. 14 indexed citations
9.
Zhu, Jinsheng, Li Zhao, Ang Luo, et al.. (2021). Hypoxia-Inducible Factor 2-Alpha Mediated Gene Sets Differentiate Pulmonary Arterial Hypertension. Frontiers in Cell and Developmental Biology. 9. 701247–701247. 8 indexed citations
10.
11.
Sun, Xiaoguang, Belinda Sun, Aleksandra Babicheva, et al.. (2020). Direct Extracellular NAMPT Involvement in Pulmonary Hypertension and Vascular Remodeling. Transcriptional Regulation by SOX and HIF-2α. American Journal of Respiratory Cell and Molecular Biology. 63(1). 92–103. 45 indexed citations
12.
Zhong, Wei, Kaimin Guo, Haiyang Tang, et al.. (2019). Predicting poor outcomes and the need for surgical treatment in neonates with meconium peritonitis. Prenatal Diagnosis. 40(3). 351–357. 1 indexed citations
13.
Huang, Junyi, Wenju Lu, Yuqin Chen, et al.. (2019). Transplantation of Mesenchymal Stem Cells Attenuates Pulmonary Hypertension by Normalizing the Endothelial-to-Mesenchymal Transition. American Journal of Respiratory Cell and Molecular Biology. 62(1). 49–60. 23 indexed citations
14.
Sun, Hai‐Jian, Feng Zhang, Yu Xu, et al.. (2019). Salusin-β Promotes Vascular Calcification via Nicotinamide Adenine Dinucleotide Phosphate/Reactive Oxygen Species-Mediated Klotho Downregulation. Antioxidants and Redox Signaling. 31(18). 1352–1370. 29 indexed citations
15.
Lu, Wenju, Kai Yang, Qiuyu Zheng, et al.. (2018). Establishment and evaluation of chronic obstructive pulmonary disease model by chronic exposure to motor vehicle exhaust combined with lipopolysaccharide instillation. Experimental Physiology. 103(11). 1532–1542. 7 indexed citations
16.
Tang, Haiyang, Qiuyu Zheng, & Jian Wang. (2017). Pathogenic role of ion channels in pulmonary arterial hypertension. Experimental Physiology. 102(9). 1075–1077. 3 indexed citations
17.
Qian, Zhongqing, Hui Liu, Musheng Li, et al.. (2017). Potential Diagnostic Power of Blood Circular RNA Expression in Active Pulmonary Tuberculosis. EBioMedicine. 27. 18–26. 68 indexed citations
18.
Smith, Kimberly A., Guillaume Voiriot, Haiyang Tang, et al.. (2015). Notch Activation of Ca2+ Signaling in the Development of Hypoxic Pulmonary Vasoconstriction and Pulmonary Hypertension. American Journal of Respiratory Cell and Molecular Biology. 53(3). 355–367. 85 indexed citations
19.
Chen, Tianji, Guofei Zhou, Qiyuan Zhou, et al.. (2015). Loss of MicroRNA-17∼92 in Smooth Muscle Cells Attenuates Experimental Pulmonary Hypertension via Induction of PDZ and LIM Domain 5. American Journal of Respiratory and Critical Care Medicine. 191(6). 678–692. 58 indexed citations
20.
Chen, Jiwang, Haiyang Tang, Justin R. Sysol, et al.. (2014). The Sphingosine Kinase 1/Sphingosine-1-Phosphate Pathway in Pulmonary Arterial Hypertension. American Journal of Respiratory and Critical Care Medicine. 190(9). 1032–1043. 115 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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