Weiqi Tan

595 total citations
12 papers, 488 citations indexed

About

Weiqi Tan is a scholar working on Molecular Biology, Surgery and Biotechnology. According to data from OpenAlex, Weiqi Tan has authored 12 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Biotechnology. Recurrent topics in Weiqi Tan's work include Cell death mechanisms and regulation (3 papers), interferon and immune responses (2 papers) and Pluripotent Stem Cells Research (2 papers). Weiqi Tan is often cited by papers focused on Cell death mechanisms and regulation (3 papers), interferon and immune responses (2 papers) and Pluripotent Stem Cells Research (2 papers). Weiqi Tan collaborates with scholars based in China, United States and Hong Kong. Weiqi Tan's co-authors include Peifeng Li, Daoyuan Lv, Kun Wang, Jianxun Wang, Daoyuan Lu, Yuzhen Li, Meifu Feng, Zhen He, Zhiqiang Lin and Yu Lin and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Weiqi Tan

12 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiqi Tan China 9 347 86 66 65 54 12 488
Jiakai Zhang China 12 296 0.9× 161 1.9× 91 1.4× 58 0.9× 30 0.6× 29 471
Yifei Lv China 12 241 0.7× 54 0.6× 164 2.5× 75 1.2× 62 1.1× 20 567
Min Cheng China 11 363 1.0× 218 2.5× 83 1.3× 62 1.0× 41 0.8× 27 573
Zilong Li China 12 193 0.6× 55 0.6× 101 1.5× 44 0.7× 29 0.5× 20 380
Xiao‐Feng Lei Japan 13 258 0.7× 54 0.6× 91 1.4× 80 1.2× 57 1.1× 26 572
Harrison T. Muturi United States 12 224 0.6× 48 0.6× 155 2.3× 97 1.5× 90 1.7× 27 480
Elisa Manieri Spain 10 292 0.8× 71 0.8× 126 1.9× 80 1.2× 103 1.9× 12 629
Yuda Wei China 10 213 0.6× 39 0.5× 63 1.0× 61 0.9× 66 1.2× 14 350
Zhen‐Sheng Yue China 9 162 0.5× 67 0.8× 138 2.1× 48 0.7× 47 0.9× 14 367
Limei Wu China 14 341 1.0× 153 1.8× 104 1.6× 66 1.0× 27 0.5× 39 603

Countries citing papers authored by Weiqi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Weiqi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqi Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Weiqi Tan. A scholar is included among the top collaborators of Weiqi 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 Weiqi Tan. Weiqi 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.
Yang, Jing, Yuanxiang Zhu, Yuxin Tong, et al.. (2023). PTK2B promotes TBK1 and STING oligomerization and enhances the STING-TBK1 signaling. Nature Communications. 14(1). 7567–7567. 14 indexed citations
2.
Han, Xinyu, et al.. (2022). RIG‐I‐mediated innate immune signaling in tumors reduces the therapeutic effect of oncolytic vesicular stomatitis virus. Thoracic Cancer. 14(3). 246–253. 6 indexed citations
3.
Liu, Yao‐Peng, et al.. (2017). 05.05: A flexibility‐based element for second‐order inelastic analysis using plastic hinge method. ce/papers. 1(2-3). 1056–1065. 1 indexed citations
4.
Jin, Wensong, Lei Wang, Fei Zhu, et al.. (2016). Critical POU domain residues confer Oct4 uniqueness in somatic cell reprogramming. Scientific Reports. 6(1). 20818–20818. 24 indexed citations
5.
Li, Yujing, Fei Zhu, Tao Wang, et al.. (2014). Coordination of Engineered Factors with TET1/2 Promotes Early-Stage Epigenetic Modification during Somatic Cell Reprogramming. Stem Cell Reports. 2(3). 253–261. 23 indexed citations
6.
Lu, Daoyuan, Jinping Liu, Jianqin Jiao, et al.. (2013). Transcription Factor Foxo3a Prevents Apoptosis by Regulating Calcium through the Apoptosis Repressor with Caspase Recruitment Domain. Journal of Biological Chemistry. 288(12). 8491–8504. 47 indexed citations
7.
Tan, Weiqi, Kun Wang, Daoyuan Lv, & Peifeng Li. (2008). Foxo3a Inhibits Cardiomyocyte Hypertrophy through Transactivating Catalase. Journal of Biological Chemistry. 283(44). 29730–29739. 167 indexed citations
8.
Tan, Weiqi, et al.. (2008). Novel Cardiac Apoptotic Pathway. Circulation. 118(22). 2268–2276. 48 indexed citations
9.
Li, Yuzhen, Daoyuan Lu, Weiqi Tan, Jianxun Wang, & Peifeng Li. (2007). p53 Initiates Apoptosis by Transcriptionally Targeting the Antiapoptotic Protein ARC. Molecular and Cellular Biology. 28(2). 564–574. 90 indexed citations
10.
He, Zhen, et al.. (2004). Activation, isolation, identification and in vitro proliferation of oval cells from adult rat livers. Cell Proliferation. 37(2). 177–187. 34 indexed citations
12.
Tan, Weiqi, et al.. (1999). Expression and purification of a secreted functional mouse/human chimaeric antibody against bacterial endotoxin in baculovirus‐infected insect cells. Biotechnology and Applied Biochemistry. 30(1). 59–64. 4 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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