Chunyan Tan

836 total citations
12 papers, 673 citations indexed

About

Chunyan Tan is a scholar working on Materials Chemistry, Molecular Biology and Neurology. According to data from OpenAlex, Chunyan Tan has authored 12 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 3 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Chunyan Tan's work include Lanthanide and Transition Metal Complexes (6 papers), Sulfur Compounds in Biology (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Chunyan Tan is often cited by papers focused on Lanthanide and Transition Metal Complexes (6 papers), Sulfur Compounds in Biology (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Chunyan Tan collaborates with scholars based in United States, China and Japan. Chunyan Tan's co-authors include Qingwei Zhao, Minako Ishibashi, Akira Takeshita, Ken‐ichi Hiasa, Kensuke Egashira, Bhesh Bhandari, Qian Shi, Suryavathi Viswanadhapalli, Brent Wagner and Hanna E. Abboud and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The FASEB Journal.

In The Last Decade

Chunyan Tan

12 papers receiving 667 citations

Peers

Chunyan Tan
Pedro Norat United States
Dazhi Liu United States
Serguei Liachenko United States
Chunyan Tan
Citations per year, relative to Chunyan Tan Chunyan Tan (= 1×) peers Zhanjun Jia

Countries citing papers authored by Chunyan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Tan. A scholar is included among the top collaborators of Chunyan Tan 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 Chunyan Tan. Chunyan Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Bruno, Francesca, et al.. (2021). Overlapping roles of NADPH oxidase 4 for diabetic and gadolinium-based contrast agent-induced systemic fibrosis. American Journal of Physiology-Renal Physiology. 320(4). F617–F627. 5 indexed citations
2.
Drel, Viktor R., et al.. (2019). Nephrogenic Systemic Fibrosis Is Mediated by Myeloid C-C Chemokine Receptor 2. Journal of Investigative Dermatology. 139(10). 2134–2143.e2. 15 indexed citations
3.
Ford, Bridget, et al.. (2019). Gadolinium-based contrast agents: Stimulators of myeloid-induced renal fibrosis and major metabolic disruptors. Toxicology and Applied Pharmacology. 375. 32–45. 22 indexed citations
4.
Lü, Yi, Dan Han, Yin Mo, et al.. (2016). The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder. NeuroImage Clinical. 11. 658–666. 110 indexed citations
5.
Drel, Viktor R., et al.. (2016). Centrality of bone marrow in the severity of gadolinium‐based contrast‐induced systemic fibrosis. The FASEB Journal. 30(9). 3026–3038. 15 indexed citations
6.
Zhao, Qingwei, Suryavathi Viswanadhapalli, Paul J. Williams, et al.. (2015). NADPH Oxidase 4 Induces Cardiac Fibrosis and Hypertrophy Through Activating Akt/mTOR and NFκB Signaling Pathways. Circulation. 131(7). 643–655. 202 indexed citations
7.
Xu, Lei, Houxiang Hu, Rongchuan Yue, et al.. (2014). GW25-e0717 Lycopene protects cardiomyocytes from hypoxia/reoxygenation injury via attenuating endoplasmic reticulum stress. Journal of the American College of Cardiology. 64(16). C88–C89. 3 indexed citations
8.
Tan, Chunyan, et al.. (2014). Group VIA Phospholipase A 2 Mediates Enhanced Macrophage Migration in Diabetes Mellitus by Increasing Expression of Nicotinamide Adenine Dinucleotide Phosphate Oxidase 4. Arteriosclerosis Thrombosis and Vascular Biology. 34(4). 768–778. 19 indexed citations
9.
Barnes, Jeffrey L., et al.. (2014). Type of MRI contrast, tissue gadolinium, and fibrosis. American Journal of Physiology-Renal Physiology. 307(7). F844–F855. 42 indexed citations
10.
Wagner, Brent, Chunyan Tan, Jeffrey L. Barnes, et al.. (2012). Nephrogenic Systemic Fibrosis. American Journal Of Pathology. 181(6). 1941–1952. 32 indexed citations
11.
Zhao, Qingwei, Minako Ishibashi, Ken‐ichi Hiasa, et al.. (2004). Essential Role of Vascular Endothelial Growth Factor in Angiotensin II–Induced Vascular Inflammation and Remodeling. Hypertension. 44(3). 264–270. 145 indexed citations
12.
Zhao, Qingwei, Kensuke Egashira, Ken‐ichi Hiasa, et al.. (2004). Essential Role of Vascular Endothelial Growth Factor and Flt-1 Signals in Neointimal Formation After Periadventitial Injury. Arteriosclerosis Thrombosis and Vascular Biology. 24(12). 2284–2289. 63 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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