Haiying Liu

2.7k total citations · 1 hit paper
23 papers, 2.1k citations indexed

About

Haiying Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Haiying Liu has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Haiying Liu's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Haiying Liu is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Haiying Liu collaborates with scholars based in China, United States and France. Haiying Liu's co-authors include Yuan Zhang, Yunfeng Liu, Wai Ho Tang, Jia Wang, Weiqun Lu, Guopei Zheng, Zhiliang Huang, Guohua Yang, Xiaohua Cao and Yanfang Wang and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Scientific Reports.

In The Last Decade

Haiying Liu

21 papers receiving 2.1k citations

Hit Papers

Exosomes: biogenesis, biologic function and clinical pote... 2019 2026 2021 2023 2019 500 1000 1.5k
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. Exosomes: biogenesis, biologic function and clinical potential
    2019 1.6k citations Yuan Zhang, Yunfeng Liu et al. Cell & Bioscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiying Liu China 13 1.8k 1.1k 217 158 115 23 2.1k
Zoraida Andreu Spain 12 1.7k 0.9× 715 0.7× 257 1.2× 154 1.0× 100 0.9× 19 2.0k
Julien Baruteau United Kingdom 19 1.6k 0.9× 619 0.6× 198 0.9× 150 0.9× 141 1.2× 56 2.3k
Mikołaj Piotr Zaborowski Poland 13 1.5k 0.8× 519 0.5× 165 0.8× 126 0.8× 56 0.5× 30 1.8k
Sonam Gurung United Kingdom 11 1.3k 0.7× 605 0.6× 179 0.8× 111 0.7× 70 0.6× 13 1.5k
Davide Barbagallo Italy 29 1.7k 1.0× 1.4k 1.3× 376 1.7× 51 0.3× 85 0.7× 61 2.4k
Maoshan Chen Australia 18 1.9k 1.1× 1.2k 1.1× 306 1.4× 298 1.9× 71 0.6× 38 2.3k
Erik R. Abels United States 14 2.0k 1.2× 1.2k 1.1× 557 2.6× 262 1.7× 75 0.7× 21 2.6k
Chang‐Sook Hong United States 21 1.8k 1.0× 987 0.9× 622 2.9× 241 1.5× 61 0.5× 32 2.4k

Countries citing papers authored by Haiying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Liu. A scholar is included among the top collaborators of Haiying 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 Haiying Liu. Haiying 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.
Lan, Xiaofeng, Chengyu Wang, Haiying Liu, et al.. (2025). The Restoration of Energy Pathways Indicates the Efficacy of Ketamine Treatment in Depression: A Metabolomic Analysis. CNS Neuroscience & Therapeutics. 31(3). e70324–e70324. 1 indexed citations
2.
Zeng, Jie, et al.. (2025). Comprehensive single-cell transcriptome analysis of autologous platelet-rich plasma therapy on human thin endometrium. Scientific Reports. 15(1). 14637–14637. 2 indexed citations
3.
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He, Xionghui, Yiqing Wang, Haiying Liu, et al.. (2022). LINC01605 promotes aerobic glycolysis through lactate dehydrogenase A in triple‐negative breast cancer. Cancer Science. 113(8). 2484–2495. 13 indexed citations
6.
Liu, Haiying, et al.. (2021). Tunicamycin Induces Hepatic Stellate Cell Apoptosis Through Calpain-2/Ca2 +-Dependent Endoplasmic Reticulum Stress Pathway. Frontiers in Cell and Developmental Biology. 9. 684857–684857. 14 indexed citations
7.
Drilon, Alexander, Haiying Liu, David Chen, et al.. (2021). Tumor-agnostic precision immuno-oncology and somatic targeting rationale for you (TAPISTRY): A novel platform umbrella trial.. Journal of Clinical Oncology. 39(15_suppl). TPS3154–TPS3154. 8 indexed citations
8.
Liu, Nan, Danni Wang, Haiying Liu, Hongli Yang, & Liangui Yang. (2020). Potential dynamic analysis of tumor suppressor p53 regulated by Wip1 protein*. Chinese Physics B. 29(6). 68704–68704. 6 indexed citations
9.
Li, Nan, Guohua Yang, Liyun Luo, et al.. (2019). lncRNA THAP9-AS1 Promotes Pancreatic Ductal Adenocarcinoma Growth and Leads to a Poor Clinical Outcome via Sponging miR-484 and Interacting with YAP. Clinical Cancer Research. 26(7). 1736–1748. 81 indexed citations
10.
Zhang, Yuan, Yunfeng Liu, Haiying Liu, & Wai Ho Tang. (2019). Exosomes: biogenesis, biologic function and clinical potential. Cell & Bioscience. 9(1). 19–19. 1579 indexed citations breakdown →
11.
Huang, Zhiliang, et al.. (2017). Over expression of galectin-3 associates with short-term poor prognosis in stage II colon cancer. Cancer Biomarkers. 17(4). 445–455. 15 indexed citations
12.
Lu, Weiqun, Jia Wang, Guohua Yang, et al.. (2017). Posttranscriptional regulation of Galectin-3 by miR-128 contributes to colorectal cancer progression. Oncotarget. 8(9). 15242–15251. 47 indexed citations
13.
Li, Jianguo, et al.. (2016). Neuroprotective effect of acute melatonin treatment on hippocampal neurons against irradiation by inhibition of caspase-3. Experimental and Therapeutic Medicine. 11(6). 2385–2390. 11 indexed citations
14.
Jia, Xiaoting, Nan Li, Cong Peng, et al.. (2016). miR-493 mediated DKK1 down-regulation confers proliferation, invasion and chemo-resistance in gastric cancer cells. Oncotarget. 7(6). 7044–7054. 35 indexed citations
15.
Wang, Jia, et al.. (2015). miR-222/VGLL4/YAP-TEAD1 regulatory loop promotes proliferation and invasion of gastric cancer cells.. PubMed. 5(3). 1158–68. 39 indexed citations
16.
17.
Dong, Yushu, Yue Li, Dayun Feng, et al.. (2013). Protective effect of HIF-1α against hippocampal apoptosis and cognitive dysfunction in an experimental rat model of subarachnoid hemorrhage. Brain Research. 1517. 114–121. 33 indexed citations
18.
Liu, Haiying. (2011). Inhibitory effect of combined treatment with oxaliplatin and low molecular weight citrus pectin on proliferation of HCT116 cells and its mechanism. Zhonghua putong waike zazhi. 1 indexed citations
19.
Guo, Hongyan, Haiying Liu, Keith Mitchelson, et al.. (2011). MicroRNAs-372/373 promote the expression of hepatitis B virus through the targeting of nuclear factor I/B. Hepatology. 54(3). 808–819. 108 indexed citations
20.
Xu, Yong, Haiying Liu, Fei Li, et al.. (2010). A polymorphism in the microRNA-30e precursor associated with major depressive disorder risk and P300 waveform. Journal of Affective Disorders. 127(1-3). 332–336. 80 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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