Hanrui Zhang

6.1k total citations · 1 hit paper
93 papers, 4.1k citations indexed

About

Hanrui Zhang is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Hanrui Zhang has authored 93 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Immunology and 24 papers in Physiology. Recurrent topics in Hanrui Zhang's work include Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (16 papers) and Adipose Tissue and Metabolism (14 papers). Hanrui Zhang is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (16 papers) and Adipose Tissue and Metabolism (14 papers). Hanrui Zhang collaborates with scholars based in United States, China and Germany. Hanrui Zhang's co-authors include Cuihua Zhang, Kevin C. Dellsperger, Young Joo Park, Muredach P. Reilly, Sewon Lee, Zoltán Ungvári, Jiyeon Yang, Junxi Wu, Fang Li and Chenyi Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Hanrui Zhang

91 papers receiving 4.1k citations

Hit Papers

Role of TNF-α in vascular dysfunction 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Role of TNF-α in vascular dysfunction
    2009 552 citations Hanrui Zhang, Cuihua Zhang et al. profile →

Peers

Hanrui Zhang
Ji Li United States
Meilian Liu China
Lin Yan China
Ran Zhang China
Masao Kaneki United States
Shiqiang Yu China
Zhiqiang Ma China
Yong Ji China
Ji Li China
Xavier Palomer Spain
Ji Li United States
Hanrui Zhang
Citations per year, relative to Hanrui Zhang Hanrui Zhang (= 1×) peers Ji Li

Countries citing papers authored by Hanrui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Hanrui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanrui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanrui Zhang. A scholar is included among the top collaborators of Hanrui Zhang 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 Hanrui Zhang. Hanrui Zhang 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.
Wu, Xun, Ziyi Wang, Katherine R. Croce, et al.. (2025). Macrophage WDFY3 mitigates autoimmunity by enhancing efferocytosis and suppressing T cell activation in mice. Nature Communications. 16(1). 8694–8694.
2.
Wright, Matthew C., Tiffany Caza, Valérie Garcia, et al.. (2025). G1 and G2 ApolipoproteinL1 modulate macrophage inflammation and lipid accumulation through the polyamine pathway. 1 indexed citations
3.
Pan, Huize, Chenyi Xue, Jian Cui, et al.. (2024). Atherosclerosis Is a Smooth Muscle Cell–Driven Tumor-Like Disease. Circulation. 149(24). 1885–1898. 44 indexed citations
4.
Bashore, Alexander C., Chenyi Xue, Eunyoung Kim, et al.. (2024). Monocyte Single-Cell Multimodal Profiling in Cardiovascular Disease Risk States. Circulation Research. 135(6). 685–700. 9 indexed citations
5.
Wu, Xun, et al.. (2024). Efferocytosis assay to quantify the engulfment and acidification of apoptotic cells by macrophages using flow cytometry. STAR Protocols. 5(3). 103215–103215. 3 indexed citations
6.
Wu, Xun & Hanrui Zhang. (2024). Omics Approaches Unveiling the Biology of Human Atherosclerotic Plaques. American Journal Of Pathology. 194(4). 482–498. 9 indexed citations
7.
Park, Junhee, Catherine Hall, Brandon T. Hubbard, et al.. (2023). MAD2-Dependent Insulin Receptor Endocytosis Regulates Metabolic Homeostasis. Diabetes. 72(12). 1781–1794. 4 indexed citations
8.
9.
Alfaidi, Mabruka, Hanrui Zhang, & Suellen D. Oliveira. (2022). Fostering New Scientific Networks in the COVID Era and Beyond. Arteriosclerosis Thrombosis and Vascular Biology. 42(9). 1113–1120. 2 indexed citations
10.
Bi, Xin, Paul C. Lee, Ziyi Wang, et al.. (2022). ILRUN Promotes Atherosclerosis Through Lipid-Dependent and Lipid-Independent Factors. Arteriosclerosis Thrombosis and Vascular Biology. 42(9). 1139–1151. 4 indexed citations
11.
Shi, Jianting, Xun Wu, Ziyi Wang, et al.. (2022). A genome-wide CRISPR screen identifies WDFY3 as a regulator of macrophage efferocytosis. Nature Communications. 13(1). 7929–7929. 26 indexed citations
12.
Shi, Hongxue, Xiaobo Wang, Fang Li, et al.. (2022). CD47-SIRPα axis blockade in NASH promotes necroptotic hepatocyte clearance by liver macrophages and decreases hepatic fibrosis. Science Translational Medicine. 14(672). eabp8309–eabp8309. 55 indexed citations
13.
Cynn, Esther, Daniel Y. Li, M. O'Reilly, et al.. (2022). Human Macrophage Long Intergenic Noncoding RNA, SIMALR , Suppresses Inflammatory Macrophage Apoptosis via NTN1 (Netrin-1). Arteriosclerosis Thrombosis and Vascular Biology. 43(2). 286–299. 8 indexed citations
14.
Zhang, Hanrui, Zhen Chen, Gabrielle Fredman, et al.. (2021). What Makes a Great Mentor: Interviews With Recipients of the ATVB Mentor of Women Award. Arteriosclerosis Thrombosis and Vascular Biology. 41(11). 2641–2647. 2 indexed citations
15.
Kasikara, Canan, Maaike Schilperoort, Brennan D. Gerlach, et al.. (2021). Deficiency of macrophage PHACTR1 impairs efferocytosis and promotes atherosclerotic plaque necrosis. Journal of Clinical Investigation. 131(8). 36 indexed citations
16.
Zhang, Hanrui & Muredach P. Reilly. (2020). Novel mechanistic links between high-protein diets and atherosclerosis. Nature Metabolism. 2(1). 7–8. 3 indexed citations
17.
Zhang, Hanrui, et al.. (2015). Regulation of Coronary Endothelial Function by Interactions between TNF-α, LOX-1 and Adiponectin in Apolipoprotein E Knockout Mice. Journal of Vascular Research. 52(6). 372–382. 8 indexed citations
18.
Zhang, Hanrui, Ciarán J. Mooney, & Muredach P. Reilly. (2012). ABO Blood Groups and Cardiovascular Diseases. International Journal of Vascular Medicine. 2012. 1–11. 77 indexed citations
19.
Zhang, Hanrui & Cuihua Zhang. (2011). Vasoprotection by Dietary Supplements and Exercise: Role of TNFαSignaling. Experimental Diabetes Research. 2012. 1–6. 25 indexed citations
20.
Liu, Min, Mingzhang Guo, Pengying Li, et al.. (2006). [Effect of new qingkailing injection on cerebral edema following intracerebral hemorrhage in rats].. PubMed. 26(3). 244–7. 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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