Han Yang

1.5k total citations · 2 hit papers
20 papers, 1.0k citations indexed

About

Han Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Complementary and alternative medicine. According to data from OpenAlex, Han Yang has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Complementary and alternative medicine. Recurrent topics in Han Yang's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Ubiquitin and proteasome pathways (3 papers) and Acupuncture Treatment Research Studies (3 papers). Han Yang is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Ubiquitin and proteasome pathways (3 papers) and Acupuncture Treatment Research Studies (3 papers). Han Yang collaborates with scholars based in China and United States. Han Yang's co-authors include Haibo Xu, Hui Zhao, Maolun Liu, Shan Ren, Tianqi Ming, Tao Qiu, Shun Tang, Sha Zeng, Qiang Sun and Shun Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Molecular Cancer.

In The Last Decade

Han Yang

20 papers receiving 997 citations

Hit Papers

Wnt signaling in colorectal cancer: pathogenic role and t... 2022 2026 2023 2024 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Yang China 10 479 171 154 117 111 20 1.0k
Tianqi Ming China 11 595 1.2× 186 1.1× 201 1.3× 118 1.0× 102 0.9× 16 1.1k
Maolun Liu China 13 710 1.5× 223 1.3× 250 1.6× 131 1.1× 118 1.1× 16 1.3k
Peter Solár Slovakia 21 582 1.2× 189 1.1× 167 1.1× 175 1.5× 89 0.8× 73 1.4k
Shan Ren China 20 810 1.7× 232 1.4× 301 2.0× 132 1.1× 174 1.6× 51 1.6k
Yi‐Fen Wang Taiwan 22 430 0.9× 301 1.8× 111 0.7× 96 0.8× 79 0.7× 78 1.4k
Hong Xiang Zuo China 21 582 1.2× 196 1.1× 214 1.4× 54 0.5× 102 0.9× 37 1.3k
Nu‐Man Tsai Taiwan 22 671 1.4× 156 0.9× 130 0.8× 87 0.7× 99 0.9× 76 1.5k
Nils H. Thoennissen Germany 21 587 1.2× 193 1.1× 99 0.6× 105 0.9× 117 1.1× 37 1.3k
Nam‐Pyo Cho South Korea 24 819 1.7× 237 1.4× 185 1.2× 61 0.5× 75 0.7× 56 1.3k

Countries citing papers authored by Han Yang

Since Specialization
Citations

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

Fields of papers citing papers by Han Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Yang. A scholar is included among the top collaborators of Han Yang 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 Han Yang. Han Yang 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.
Xiao, Xiang, et al.. (2025). Use quercetin for pulmonary fibrosis: a preclinical systematic review and meta-analysis. Inflammopharmacology. 33(4). 1879–1897. 2 indexed citations
2.
Zeng, Jinhao, Jing Guo, Shan Zhou, et al.. (2023). Student standardized patients versus occupational standardized patients for improving clinical competency among TCM medical students: a 3-year prospective randomized study. BMC Medical Education. 23(1). 216–216. 5 indexed citations
3.
Zhao, Hui, Shun Tang, Tao Qiu, et al.. (2023). Ursolic Acid Suppresses Colorectal Cancer by Down-Regulation of Wnt/β-Catenin Signaling Pathway Activity. Journal of Agricultural and Food Chemistry. 71(9). 3981–3993. 64 indexed citations
4.
Wu, Xuanyu, et al.. (2022). Effectiveness and mechanism of metformin in animal models of pulmonary fibrosis: A preclinical systematic review and meta-analysis. Frontiers in Pharmacology. 13. 948101–948101. 10 indexed citations
6.
Zhao, Hui, Tianqi Ming, Shun Tang, et al.. (2022). Wnt signaling in colorectal cancer: pathogenic role and therapeutic target. Molecular Cancer. 21(1). 144–144. 510 indexed citations breakdown →
7.
Zhao, Hui, Shan Ren, Han Yang, et al.. (2022). Peppermint essential oil: its phytochemistry, biological activity, pharmacological effect and application. Biomedicine & Pharmacotherapy. 154. 113559–113559. 136 indexed citations breakdown →
8.
Chen, Li, Maolun Liu, Han Yang, et al.. (2022). Ursolic acid inhibits the activation of smoothened‐independent non‐canonical hedgehog pathway in colorectal cancer by suppressing AKT signaling cascade. Phytotherapy Research. 36(9). 3555–3570. 11 indexed citations
9.
Zeng, Jinhao, Lijuan Wen, Ting Xia, et al.. (2021). Assessment of clinical competency among TCM medical students using standardized patients of traditional Chinese medicine: A 5-year prospective randomized study. Integrative Medicine Research. 11(2). 100804–100804. 5 indexed citations
10.
Xiong, Jian, et al.. (2021). Acupuncture Treatment for Cough-Variant Asthma: A Meta-Analysis. Evidence-based Complementary and Alternative Medicine. 2021. 1–16. 21 indexed citations
11.
Sun, Qiang, Man He, Meng Zhang, et al.. (2021). Traditional Chinese Medicine and Colorectal Cancer: Implications for Drug Discovery. Frontiers in Pharmacology. 12. 685002–685002. 58 indexed citations
12.
Sun, Qiang, Maolun Liu, Shan Ren, et al.. (2021). Shikonin, a naphthalene ingredient: Therapeutic actions, pharmacokinetics, toxicology, clinical trials and pharmaceutical researches. Phytomedicine. 94. 153805–153805. 108 indexed citations
13.
Zhao, Hui, Sha Zeng, Li Chen, et al.. (2021). Updated pharmacological effects of Lonicerae japonicae flos, with a focus on its potential efficacy on coronavirus disease–2019 (COVID-19). Current Opinion in Pharmacology. 60. 200–207. 23 indexed citations
14.
He, Man, Meng Zhang, Qiang Sun, et al.. (2021). [Mechanism of ursolic acid in regulating colorectal cancer cell HCT116 autophagy through hedgehog signaling pathway].. PubMed. 46(5). 1217–1223. 4 indexed citations
16.
Wang, Hong, et al.. (2020). NCAPG Induces Cell Proliferation in Cardia Adenocarcinoma via PI3K/AKT Signaling Pathway. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Yin, Zihan, Guixing Xu, Han Yang, et al.. (2020). Acupuncture for the Postcholecystectomy Syndrome: A Systematic Review and Meta‐Analysis. Evidence-based Complementary and Alternative Medicine. 2020(1). 7509481–7509481. 9 indexed citations
18.
Yin, Zihan, Guixing Xu, Han Yang, et al.. (2019). Acupuncture for the postcholecystectomy syndrome. Medicine. 98(32). e16769–e16769. 2 indexed citations
19.
Yang, Han, Jun Zhou, Juan Li, et al.. (2019). Acupuncture therapy for persistent and intractable hiccups. Medicine. 98(44). e17561–e17561. 3 indexed citations
20.
Tang, Yu, Maohua Wang, Ting Zheng, et al.. (2019). Grey matter volume alterations in trigeminal neuralgia: A systematic review and meta-analysis of voxel-based morphometry studies. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 98. 109821–109821. 28 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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