Guiwen Yi

409 total citations
9 papers, 317 citations indexed

About

Guiwen Yi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Guiwen Yi has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Guiwen Yi's work include Atherosclerosis and Cardiovascular Diseases (5 papers), Chemokine receptors and signaling (3 papers) and Extracellular vesicles in disease (2 papers). Guiwen Yi is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (5 papers), Chemokine receptors and signaling (3 papers) and Extracellular vesicles in disease (2 papers). Guiwen Yi collaborates with scholars based in China and United States. Guiwen Yi's co-authors include Xiaobo Mao, Qiutang Zeng, Bangwei Wu, Xiaoqi Zhao, Min Cheng, Yucheng Zhong, Kai Huang, Gangjian Qin, Nianguo Dong and Junjie Yang and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Cytokine.

In The Last Decade

Guiwen Yi

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guiwen Yi China	7	185	98	95	72	41	9	317
Rongjie Lin China	11	135 0.7×	46 0.5×	59 0.6×	65 0.9×	40 1.0×	30	325
Qiutang Zeng China	8	106 0.6×	85 0.9×	56 0.6×	103 1.4×	31 0.8×	13	264
Taylor A. Johnson United States	8	170 0.9×	35 0.4×	48 0.5×	103 1.4×	36 0.9×	19	319
Keqiang Zuo China	12	221 1.2×	75 0.8×	149 1.6×	35 0.5×	36 0.9×	19	423
Kira Kuschnerus Germany	7	84 0.5×	54 0.6×	34 0.4×	61 0.8×	48 1.2×	12	235
C.J.N. Verkleij Netherlands	7	88 0.5×	109 1.1×	84 0.9×	59 0.8×	25 0.6×	7	305
N. Htun Australia	2	324 1.8×	41 0.4×	250 2.6×	71 1.0×	19 0.5×	6	396
Zhenqiang Gao China	10	155 0.8×	28 0.3×	83 0.9×	28 0.4×	67 1.6×	26	344
Nader Joghetaei Germany	8	121 0.7×	78 0.8×	42 0.4×	225 3.1×	56 1.4×	10	385

Countries citing papers authored by Guiwen Yi

Since Specialization

Citations

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

Fields of papers citing papers by Guiwen Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiwen Yi

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

All Works

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9 of 9 papers shown

Yi, Guiwen, et al.. (2020). Hippo pathway cooperates with ChREBP to regulate hepatic glucose utilization. Biochemical and Biophysical Research Communications. 530(1). 115–121. 5 indexed citations

Cheng, Min, Junjie Yang, Xiaoqi Zhao, et al.. (2019). Circulating myocardial microRNAs from infarcted hearts are carried in exosomes and mobilise bone marrow progenitor cells. Nature Communications. 10(1). 959–959. 170 indexed citations

Cheng, Min, Xiaoqi Zhao, Bangwei Wu, et al.. (2014). Abstract 18383: Circulating Exosomal miR-1a is Markedly Induced by Myocardial Infarction and Downregulates CXCR4 Expression in the Bone Marrow Mononuclear Cells. 130. 5 indexed citations

Yu, Kunwu, Pengfei Zhu, Qian Dong, et al.. (2013). Thymic Stromal Lymphopoietin Attenuates the Development of Atherosclerosis in ApoE ^−/− Mice. Journal of the American Heart Association. 2(5). 30 indexed citations

Li, Haiyu, Yanping Ding, Guiwen Yi, Qiutang Zeng, & Wenkai Yang. (2012). Establishment of nasal tolerance to heat shock protein-60 alleviates atherosclerosis by inducing TGF-β-dependent regulatory T cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(1). 24–30. 16 indexed citations

Zhong, Yucheng, Qiutang Zeng, Xiang Wang, et al.. (2012). Total cholesterol content of erythrocyte membranes is associated with the severity of coronary artery disease and the therapeutic effect of rosuvastatin. Upsala Journal of Medical Sciences. 117(4). 390–398. 22 indexed citations

Zhong, Yucheng, Xiang Wang, Qingwei Ji, et al.. (2012). CD4+LAP+ and CD4+CD25+Foxp3+ Regulatory T Cells Induced by Nasal Oxidized Low-Density Lipoprotein Suppress Effector T Cells Response and Attenuate Atherosclerosis in ApoE−/− Mice. Journal of Clinical Immunology. 32(5). 1104–1117. 40 indexed citations

Yi, Guiwen, Qiutang Zeng, Xiaobo Mao, et al.. (2010). Overexpression of CXCL16 promotes a vulnerable plaque phenotype in Apolipoprotein E–Knockout Mice. Cytokine. 53(3). 320–326. 19 indexed citations

Yi, Guiwen & Qiutang Zeng. (2008). Circulating CXCL16 Is Related to the Severity of Coronary Artery Stenosis. Archives of Medical Research. 39(5). 531–535. 10 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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