Li Zhu

10.8k total citations · 1 hit paper
54 papers, 7.0k citations indexed

About

Li Zhu is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Li Zhu has authored 54 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Epidemiology and 9 papers in Hepatology. Recurrent topics in Li Zhu's work include Liver Disease Diagnosis and Treatment (8 papers), COVID-19 Clinical Research Studies (7 papers) and Hepatitis B Virus Studies (6 papers). Li Zhu is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), COVID-19 Clinical Research Studies (7 papers) and Hepatitis B Virus Studies (6 papers). Li Zhu collaborates with scholars based in China, United States and Germany. Li Zhu's co-authors include Changqing Bai, Jin‐Wen Song, Hongxia Liu, Shuhong Liu, Tingting Gao, Yanhong Tai, Fu‐Sheng Wang, Yijin Wang, Jiyuan Zhang and Jinghui Dong and has published in prestigious journals such as Blood, Hepatology and Cancer Research.

In The Last Decade

Li Zhu

49 papers receiving 6.8k citations

Hit Papers

Pathological findings of COVID-19 associated with acute r... 2020 2026 2022 2024 2020 2.0k 4.0k 6.0k
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. Pathological findings of COVID-19 associated with acute respiratory distress syndrome
    2020 6.1k citations Li Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Zhu China 16 4.6k 2.4k 804 778 736 54 7.0k
Yijin Wang China 17 4.5k 1.0× 2.4k 1.0× 760 0.9× 749 1.0× 725 1.0× 52 6.7k
Jin‐Wen Song China 17 4.5k 1.0× 2.4k 1.0× 896 1.1× 749 1.0× 681 0.9× 63 6.9k
Zhe Xu China 24 4.7k 1.0× 2.4k 1.0× 920 1.1× 969 1.2× 705 1.0× 84 7.4k
Peng Xia China 23 4.5k 1.0× 2.4k 1.0× 1.2k 1.5× 746 1.0× 683 0.9× 103 7.6k
Jinghui Dong China 12 4.7k 1.0× 2.5k 1.0× 707 0.9× 1.0k 1.3× 612 0.8× 39 6.9k
Yanhong Tai China 22 4.4k 1.0× 2.4k 1.0× 1.2k 1.5× 1.0k 1.3× 633 0.9× 46 7.2k
Hongxia Liu China 23 4.4k 1.0× 2.4k 1.0× 1.4k 1.7× 824 1.1× 691 0.9× 84 7.6k
Jingmin Zhao China 26 4.5k 1.0× 2.4k 1.0× 1.1k 1.4× 813 1.0× 1.6k 2.2× 90 8.0k

Countries citing papers authored by Li Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Li Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhu. A scholar is included among the top collaborators of Li Zhu 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 Li Zhu. Li Zhu 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.
Zhang, Yan, Dongshu Wang, Li Zhu, et al.. (2025). Rapid detection assays for Bacillus anthracis, Yersinia pestis, and Brucella spp. via triplex-recombinase polymerase amplification. Molecular Biology Reports. 52(1). 149–149.
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Li, Qiang, Min Wu, Bisheng Shi, et al.. (2024). Modulation of monocyte activity by hepatocellular MicroRNA delivery through HBsAg particles: Implications for pathobiology of chronic hepatitis B. Hepatology. 81(3). 990–1005. 1 indexed citations
5.
Liu, Jin, Qian Feng, Li Zhu, et al.. (2023). Ubiquitin E3 ligase β‐TrCP negatively regulates surface protein of hepatitis B virus. Journal of Medical Virology. 95(3). e28620–e28620. 3 indexed citations
6.
Zhang, Zhiyi, Jian Wang, Li Zhu, et al.. (2023). A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome. Journal of Translational Autoimmunity. 7. 100215–100215. 2 indexed citations
7.
Liu, Jiacheng, Jian Wang, Weihua Wu, et al.. (2023). Liver inflammation activity in patients with autoimmune hepatitis with normal alanine aminotransferase and immunoglobulin G levels. Journal of Translational Autoimmunity. 8(6). 100220–100220. 3 indexed citations
8.
Zhu, Li, Yuxiang Chen, Wei Ding, et al.. (2022). Caspase-3/Treg and PI3K/AKT/mTOR pathway is involved in Liver Ischemia Reperfusion Injury (IRI) protection by everolimus. Transplant Immunology. 71. 101541–101541. 3 indexed citations
9.
Zhu, Li, Jian Wang, Jia‐Cheng Liu, et al.. (2021). Risk of severe illness of COVID‐19 patients with NAFLD and increased NAFLD fibrosis scores. Journal of Clinical Laboratory Analysis. 35(8). e23880–e23880. 12 indexed citations
10.
Chen, Xiangjie, Fan Huang, Yibo Zuo, et al.. (2021). Ubiquitin E3 ligase MID1 inhibits the innate immune response by ubiquitinating IRF3. Immunology. 163(3). 278–292. 24 indexed citations
11.
Yang, Li, Chunyang Li, Jian Wang, et al.. (2020). A case series of COVID‐19 patients with chronic hepatitis B virus infection. Journal of Medical Virology. 92(11). 2785–2791. 28 indexed citations
12.
Sun, Han, Yong Zhao, Kun Wang, et al.. (2020). Low dose IL‐2 suppress osteoclastogenesis in collagen‐induced arthritis via JNK dependent pathway. Immunity Inflammation and Disease. 8(4). 727–735. 8 indexed citations
13.
Xu, Tianmin, Rui Huang, Li Zhu, et al.. (2020). Epidemiological and clinical features of asymptomatic patients with SARS‐CoV‐2 infection. Journal of Medical Virology. 92(10). 1884–1889. 41 indexed citations
14.
Zhu, Li, Jian Wang, Rui Huang, et al.. (2020). Clinical characteristics of a case series of children with coronavirus disease 2019. Pediatric Pulmonology. 55(6). 1430–1432. 63 indexed citations
15.
Pan, Yunzhi, Peijun Tang, Jun Cao, et al.. (2020). Lipid peroxidation aggravates anti-tuberculosis drug-induced liver injury: Evidence of ferroptosis induction. Biochemical and Biophysical Research Communications. 533(4). 1512–1518. 33 indexed citations
16.
Duque‐Afonso, Jesús, Kyuho Han, David W. Morgens, et al.. (2018). CBP Modulates Sensitivity to Dasatinib in Pre-BCR+ Acute Lymphoblastic Leukemia. Cancer Research. 78(22). 6497–6508. 12 indexed citations
17.
Zhu, Li, et al.. (2017). Application of platelet rich fibrin combined with atorvastatin in the regeneration treatment of degree II furcation involvements of mandibular molars. Biomedical Research-tokyo. 28(22). 10191–10195. 3 indexed citations
18.
Guo, Wei, Bingshan Liu, Linlin Sun, et al.. (2013). Shedding of c-Met ectodomain correlates with c-Met expression in non-small cell lung cancer. Biomarkers. 18(2). 126–135. 14 indexed citations
19.
Collier, R.J., et al.. (2012). AL-78898A Inhibits Complement Deposition in a Primate Light Damage Model. Investigative Ophthalmology & Visual Science. 53(14). 5362–5362. 2 indexed citations
20.
Zhu, Li. (2004). An experimental study on rats brain protection of tetrandrine from dementia. Zhongguo yaolixue tongbao. 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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