Yuanyuan Tie

8 total papers · 503 total citations
7 papers, 409 citations indexed

About

Yuanyuan Tie is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Yuanyuan Tie has authored 7 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cancer Research. Recurrent topics in Yuanyuan Tie's work include Signaling Pathways in Disease (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Yuanyuan Tie is often cited by papers focused on Signaling Pathways in Disease (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Yuanyuan Tie collaborates with scholars based in China, Thailand and Hong Kong. Yuanyuan Tie's co-authors include Xiaoguang Cui, Xueyi Li, Bincheng Ren, Xiaojing Cheng, Xin Yang, Hui Zhao, Xinrui Zhao, Qu Li, Xiaoping Ji and Jie Xiao and has published in prestigious journals such as Journal of Molecular and Cellular Cardiology, Frontiers in Pharmacology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Yuanyuan Tie

7 papers receiving 404 citations

Hit Papers

Curcumin alleviates oxida... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuanyuan Tie 228 87 75 55 49 7 409
Xue-Fen Pang 162 0.7× 102 1.2× 42 0.6× 69 1.3× 54 1.1× 13 467
Hanzhao Zhu 183 0.8× 68 0.8× 37 0.5× 55 1.0× 53 1.1× 15 468
Ke‐Xue Li 206 0.9× 93 1.1× 73 1.0× 62 1.1× 82 1.7× 16 456
Arkadeep Mitra 251 1.1× 182 2.1× 37 0.5× 48 0.9× 36 0.7× 14 439
Tingbo Li 223 1.0× 29 0.3× 141 1.9× 64 1.2× 38 0.8× 15 448
El‐Sayed El‐Awady 126 0.6× 106 1.2× 14 0.2× 54 1.0× 33 0.7× 11 441
Heling Fu 161 0.7× 27 0.3× 36 0.5× 52 0.9× 25 0.5× 13 460
Liaisan Arslanbaeva 232 1.0× 39 0.4× 48 0.6× 80 1.5× 142 2.9× 8 484
Xiaoyu Zhang 154 0.7× 47 0.5× 55 0.7× 29 0.5× 68 1.4× 7 411
Xiaoyang Huang 201 0.9× 75 0.9× 54 0.7× 51 0.9× 47 1.0× 14 383

Countries citing papers authored by Yuanyuan Tie

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyuan Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan Tie

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

All Works

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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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