Tiejian Zhao

686 total citations · 1 hit paper
17 papers, 511 citations indexed

About

Tiejian Zhao is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Tiejian Zhao has authored 17 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Hepatology and 5 papers in Molecular Biology. Recurrent topics in Tiejian Zhao's work include Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (7 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Tiejian Zhao is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (7 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Tiejian Zhao collaborates with scholars based in China. Tiejian Zhao's co-authors include Yanfei Wei, Yu‐Ning Lin, Wanjun Chen, Mei Jiang, Jiahui Wang, Jiaru Wang, Lei Wang, Weimin Li, Yang Zheng and Lei Wang and has published in prestigious journals such as The FASEB Journal, Journal of Ethnopharmacology and Current Medicinal Chemistry.

In The Last Decade

Tiejian Zhao

16 papers receiving 506 citations

Hit Papers

Cancer and ER stress: Mutual crosstalk between autophagy,... 2019 2026 2021 2023 2019 100 200 300
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. Cancer and ER stress: Mutual crosstalk between autophagy, oxidative stress and inflammatory response
    2019 359 citations Yu‐Ning Lin, Mei Jiang et al. Biomedicine & Pharmacotherapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiejian Zhao China 8 251 192 123 76 60 17 511
Weiya Cao China 13 355 1.4× 215 1.1× 37 0.3× 112 1.5× 57 0.9× 27 696
Weilian Bao China 14 294 1.2× 113 0.6× 69 0.6× 68 0.9× 46 0.8× 26 523
Francesca Cingolani United States 12 362 1.4× 161 0.8× 117 1.0× 34 0.4× 16 0.3× 18 581
Yifan Yu China 15 377 1.5× 98 0.5× 36 0.3× 134 1.8× 52 0.9× 40 679
Biyun Lin China 11 232 0.9× 82 0.4× 30 0.2× 66 0.9× 51 0.8× 21 426
Wei‐Heng Xu China 16 302 1.2× 101 0.5× 32 0.3× 71 0.9× 35 0.6× 31 630
Chenkai Huang China 14 255 1.0× 225 1.2× 29 0.2× 90 1.2× 28 0.5× 26 517
Yang Ke China 14 250 1.0× 112 0.6× 41 0.3× 126 1.7× 54 0.9× 34 617
Qianqian Chen China 12 206 0.8× 82 0.4× 51 0.4× 40 0.5× 30 0.5× 36 459
Lingxiang Jin China 11 292 1.2× 110 0.6× 39 0.3× 177 2.3× 18 0.3× 18 518

Countries citing papers authored by Tiejian Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Tiejian Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejian Zhao

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

All Works

17 of 17 papers shown
1.
Ji, Kun, Cong Zhang, Jing Ai, et al.. (2024). Nomogram-based prognostic stratification for patients with large hepatocellular carcinoma: a population study of SEER database and a Chinese cohort. Journal of Gastrointestinal Oncology. 15(5). 2201–2215.
2.
Yang, Zhihui, et al.. (2024). Mitochondrial structure and function: A new direction for the targeted treatment of chronic liver disease with Chinese herbal medicine. Journal of Ethnopharmacology. 334. 118461–118461. 5 indexed citations
3.
Zheng, Yang, Lei Wang, Jiaru Wang, Tiejian Zhao, & Jiahui Wang. (2024). Modulation of the HIF-1α-NCOA4-FTH1 Signaling Axis RegulatingFerroptosis-induced Hepatic Stellate Cell Senescence to Explore theAnti-hepatic Fibrosis Mechanism of Curcumol. Current Medicinal Chemistry. 31(19). 2821–2837. 9 indexed citations
4.
Zhao, Tiejian, et al.. (2023). Curcumol targets glutaminase 1 to regulate glutamine metabolism and induce senescence of hepatic stellate cells. European Journal of Integrative Medicine. 62. 102278–102278. 2 indexed citations
5.
Wang, Lei, et al.. (2023). Traditional herbs: mechanisms to combat cellular senescence. Aging. 15(23). 14473–14505. 7 indexed citations
6.
Zheng, Bowen, et al.. (2022). Exploring the mechanism of action of Chinese medicine in regulating liver fibrosis based on the alteration of glucose metabolic pathways. Phytotherapy Research. 38(10). 4865–4876. 9 indexed citations
7.
Zhao, Tiejian, Jiaru Wang, Jiaru Wang, et al.. (2022). Curcumol alleviates liver fibrosis through inducing autophagy and ferroptosis in hepatic stellate cells. The FASEB Journal. 36(12). e22665–e22665. 34 indexed citations
8.
Yang, Zheng, Feifei Qiu, Yingjie Zhao, et al.. (2022). [Study on mechanism of curcumol against liver fibrosis based on autophagy and apoptosis of hepatic stellate cells].. PubMed. 47(3). 730–736. 3 indexed citations
9.
Wang, Jiahui, et al.. (2022). Gut microbiota combined with metabolomics reveal the mechanism of curcumol on liver fibrosis in mice. Biomedicine & Pharmacotherapy. 152. 113204–113204. 29 indexed citations
10.
Zhao, Tiejian, et al.. (2022). Research progress in the prevention and treatment of liver fibrosis in Chinese medicine based on miRNAs molecular regulation of angiogenesis. Pharmacological Research - Modern Chinese Medicine. 4. 100151–100151. 1 indexed citations
11.
Wang, Jiaru, et al.. (2021). Modulation of the VEGF/AKT/eNOS signaling pathway to regulate liver angiogenesis to explore the anti-hepatic fibrosis mechanism of curcumol. Journal of Ethnopharmacology. 280. 114480–114480. 29 indexed citations
12.
Wang, Lei, et al.. (2021). Effect of Curcumol on NOD-Like Receptor Thermoprotein Domain 3 Inflammasomes in Liver Fibrosis of Mice. Chinese Journal of Integrative Medicine. 28(11). 992–999. 8 indexed citations
13.
14.
Wang, Jiahui, et al.. (2020). Effect of Curcumol on the Fenestrae of Liver Sinusoidal Endothelial Cells Based on NF‐κB Signaling Pathway. Evidence-based Complementary and Alternative Medicine. 2020(1). 8590638–8590638. 12 indexed citations
15.
Fan, Yuexin, et al.. (2020). Differential expression and bioinformatic analysis of circRNA in nonalcoholic steatohepatitis cirrhosis.. PubMed. 13(11). 2820–2830. 2 indexed citations
16.
Lin, Yu‐Ning, Mei Jiang, Wanjun Chen, Tiejian Zhao, & Yanfei Wei. (2019). Cancer and ER stress: Mutual crosstalk between autophagy, oxidative stress and inflammatory response. Biomedicine & Pharmacotherapy. 118. 109249–109249. 359 indexed citations breakdown →
17.
Zhao, Tiejian, et al.. (2017). Effects of several active ingredients of Rhizoma curcumae on liver diseases. World Chinese Journal of Digestology. 25(27). 2433–2440. 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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