Haiyun Liu

2.2k total citations
31 papers, 1.1k citations indexed

About

Haiyun Liu is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Haiyun Liu has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Haiyun Liu's work include Orthopedic Infections and Treatments (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Immune Cell Function and Interaction (4 papers). Haiyun Liu is often cited by papers focused on Orthopedic Infections and Treatments (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Immune Cell Function and Interaction (4 papers). Haiyun Liu collaborates with scholars based in United States, China and Japan. Haiyun Liu's co-authors include Rahul Shinde, Tracy L. McGaha, Buvana Ravishankar, Jillian Bradley, Kapil Chaudhary, Andrew L. Mellor, Masato Tanaka, David H. Munn, Phillip Chandler and Lloyd Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and The Journal of Immunology.

In The Last Decade

Haiyun Liu

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyun Liu United States 16 420 377 153 121 117 31 1.1k
Kun Chen China 16 635 1.5× 449 1.2× 70 0.5× 112 0.9× 27 0.2× 59 1.3k
Ann Jagger United States 12 825 2.0× 328 0.9× 60 0.4× 92 0.8× 55 0.5× 12 1.8k
Duen-Yi Huang Taiwan 20 344 0.8× 565 1.5× 60 0.4× 89 0.7× 27 0.2× 41 1.1k
David Moulin France 20 524 1.2× 384 1.0× 64 0.4× 114 0.9× 16 0.1× 45 1.3k
Qiang Guo China 21 686 1.6× 888 2.4× 36 0.2× 335 2.8× 49 0.4× 54 1.8k
Mohammad Reza Atashzar Iran 7 118 0.3× 237 0.6× 30 0.2× 95 0.8× 79 0.7× 16 782
Anthony Virtue United States 12 533 1.3× 631 1.7× 27 0.2× 198 1.6× 38 0.3× 17 1.3k
Tatsumi Matsumoto Japan 12 354 0.8× 304 0.8× 88 0.6× 72 0.6× 16 0.1× 42 1.0k
Luís Almeida Germany 8 469 1.1× 326 0.9× 27 0.2× 77 0.6× 26 0.2× 11 934

Countries citing papers authored by Haiyun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Liu. A scholar is included among the top collaborators of Haiyun Liu 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 Haiyun Liu. Haiyun Liu 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.
Liu, Haiyun, et al.. (2025). Studies toward Chemical Synthesis of Homogeneously Glycosylated Interleukin-10. Chinese Journal of Organic Chemistry. 45(3). 951–951.
2.
3.
Liu, Haiyun, et al.. (2023). Bacoside a inhibits the growth of glioma by promoting apoptosis and autophagy in U251 and U87 cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(4). 2105–2120. 4 indexed citations
4.
Wang, Biao, et al.. (2023). Facile Preparation of Carbohydrate‐Containing Adjuvants Based on Self‐Assembling Glycopeptide Conjugates. Angewandte Chemie International Edition. 63(1). e202309140–e202309140. 10 indexed citations
5.
Chen, Chang, et al.. (2022). Nuciferine attenuates acute ischemic stroke in a rat model: a metabolomic approach for the mechanistic study. Molecular Omics. 18(8). 765–778. 10 indexed citations
6.
Hou, Fengping, Zhidong Teng, Jiaxi Ru, et al.. (2022). Flower-like mesoporous silica nanoparticles as an antigen delivery platform to promote systemic immune response. Nanomedicine Nanotechnology Biology and Medicine. 42. 102541–102541. 12 indexed citations
7.
Alphonse, Martin P., Roger V. Ortines, Aman M. Patel, et al.. (2021). Pan-caspase inhibition as a potential host-directed immunotherapy against MRSA and other bacterial skin infections. Science Translational Medicine. 13(601). 33 indexed citations
8.
Ravipati, Advaitaa, Sabrina Nolan, Martin P. Alphonse, et al.. (2021). IL-6R/Signal Transducer and Activator of Transcription 3 Signaling in Keratinocytes rather than in T Cells Induces Psoriasis-Like Dermatitis in Mice. Journal of Investigative Dermatology. 142(4). 1126–1135.e4. 31 indexed citations
9.
Wang, Li-Chong, Shuhui Chen, Xiaoli Shen, et al.. (2020). M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme. Frontiers in Oncology. 10. 536875–536875. 67 indexed citations
10.
Wang, Yu, Alyssa G. Ashbaugh, Dustin Dikeman, et al.. (2020). Interleukin‐1β and tumor necrosis factor are essential in controlling an experimental orthopedic implant‐associated infection. Journal of Orthopaedic Research®. 38(8). 1800–1809. 17 indexed citations
11.
Li, Yinhui, Jie Zhang, Haiyun Liu, et al.. (2019). Curcumin ameliorates glyoxylate-induced calcium oxalate deposition and renal injuries in mice. Phytomedicine. 61. 152861–152861. 52 indexed citations
12.
Wang, Lei, Yu Chai, Changjun Li, et al.. (2018). Oxidized phospholipids are ligands for LRP6. Bone Research. 6(1). 22–22. 31 indexed citations
13.
Liu, Haiyun, Nathan K. Archer, Carly Dillen, et al.. (2017). Staphylococcus aureus Epicutaneous Exposure Drives Skin Inflammation via IL-36-Mediated T Cell Responses. Cell Host & Microbe. 22(5). 653–666.e5. 194 indexed citations
14.
Liu, Haiyun, et al.. (2017). Hepatic estrogen receptor α is critical for regulation of gluconeogenesis and lipid metabolism in males. Scientific Reports. 7(1). 1661–1661. 97 indexed citations
15.
Ravishankar, Buvana, Haiyun Liu, Rahul Shinde, et al.. (2015). The amino acid sensor GCN2 inhibits inflammatory responses to apoptotic cells promoting tolerance and suppressing systemic autoimmunity. Proceedings of the National Academy of Sciences. 112(34). 10774–10779. 126 indexed citations
16.
Ravishankar, Buvana, Rahul Shinde, Haiyun Liu, et al.. (2014). Marginal zone CD169 + macrophages coordinate apoptotic cell-driven cellular recruitment and tolerance. Proceedings of the National Academy of Sciences. 111(11). 4215–4220. 91 indexed citations
17.
Wang, Shuai, Yi Li, Yunhong Hu, et al.. (2013). STUB1 is essential for T‐cell activation by ubiquitinating CARMA1. European Journal of Immunology. 43(4). 1034–1041. 34 indexed citations
18.
Ravishankar, Buvana, Haiyun Liu, Rahul Shinde, et al.. (2012). Tolerance to apoptotic cells is regulated by indoleamine 2,3-dioxygenase. Proceedings of the National Academy of Sciences. 109(10). 3909–3914. 162 indexed citations
19.
Zhang, Suping, et al.. (2009). Up-regulation of RAGE and S100A6 in rats exposed to cigarette smoke. Environmental Toxicology and Pharmacology. 28(2). 259–264. 19 indexed citations
20.
Liu, Haiyun, et al.. (2006). Changes of T4-5'-deiodinase and thyroid hormone in brain tissues of rats with chronic cerebral ischemia. 10(22). 104–106. 1 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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