Mei Han

2.2k total citations · 1 hit paper
37 papers, 1.4k citations indexed

About

Mei Han is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Mei Han has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Mei Han's work include Microbial metabolism and enzyme function (5 papers), Muscle Physiology and Disorders (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mei Han is often cited by papers focused on Microbial metabolism and enzyme function (5 papers), Muscle Physiology and Disorders (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mei Han collaborates with scholars based in China, United States and Germany. Mei Han's co-authors include Peng Kong, Dandan Zhang, Ziyang Cui, Despina Sanoudou, Alan H. Beggs, Louis M. Kunkel, Isaac S. Kohane, Jin‐Kun Wen, Voichita D. Marinescu and Kinga K. Tomczak and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Mei Han

34 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Inflammation and atherosclerosis: signaling pathways and therapeutic intervention

2022 640 citations Peng Kong, Ziyang Cui et al. Signal Transduction and Targeted Therapy profile →

Peers

Mei Han

IMMUN

SURGE

CCM

Masayuki Shiota Japan

Xudong Zhu China

Min Fan China

Qishan Chen China

Rui Cheng United States

Jianhua Zhu China

Xianxian Wu China

Lu Gao China

Masayuki Shiota Japan

Mei Han

918 ×1.1

241 ×0.8

IMMUN

332 ×1.3

163 ×1.0

SURGE

258 ×1.7

CCM

Citations per year, relative to Mei Han Mei Han (= 1×) peers Masayuki Shiota

Countries citing papers authored by Mei Han

Since Specialization

Citations

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

Fields of papers citing papers by Mei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Johnson, C M, Drew Nassal, Xianyao Xu, et al.. (2025). The two-pore K⁺ channel TREK-1 regulates pressure overload-induced cardiac remodeling. American Journal of Physiology-Heart and Circulatory Physiology. 329(1). H178–H190.

Cao, Tong, et al.. (2025). PKM2 crotonylation reprograms glycolysis in VSMCs, contributing to phenotypic switching. Oncogene. 44(24). 1990–2003. 5 indexed citations

Ye, Qianwen, et al.. (2024). GJA4 expressed on cancer associated fibroblasts (CAFs)—A ‘promoter’ of the mesenchymal phenotype. Translational Oncology. 46. 102009–102009. 1 indexed citations

Han, Mei, Roman Liebe, Ye Yao, et al.. (2023). The Interplay of TGF-β1 and Cholesterol Orchestrating Hepatocyte Cell Fate, EMT, and Signals for HSC Activation. Cellular and Molecular Gastroenterology and Hepatology. 17(4). 567–587. 10 indexed citations

Liu, Yuanjie, et al.. (2022). An Analysis Regarding the Association Between Connexins and Colorectal Cancer (CRC) Tumor Microenvironment. SHILAP Revista de lepidopterología. 9 indexed citations

Kong, Peng, et al.. (2022). Inflammation and atherosclerosis: signaling pathways and therapeutic intervention. Signal Transduction and Targeted Therapy. 7(1). 131–131. 640 indexed citations breakdown →

Chen, Yugen, Mei Han, Qianwen Ye, et al.. (2022). An analysis of the significance of the Tre2/Bub2/CDC 16 (TBC) domain protein family 8 in colorectal cancer. Scientific Reports. 12(1). 13245–13245. 2 indexed citations

Musa, Hassan, Mona El Refaey, Sara N. Koenig, et al.. (2021). Giant ankyrin-G regulates cardiac function. Journal of Biological Chemistry. 296. 100507–100507. 5 indexed citations

Nwosu, Zeribe C., Mei Han, Michael Büttner, et al.. (2021). Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes. BMC Cancer. 21(1). 1006–1006. 1 indexed citations

10.

Han, Mei, Sai Wang, Zeribe C. Nwosu, et al.. (2020). Hepatocyte caveolin-1 modulates metabolic gene profiles and functions in non-alcoholic fatty liver disease. Cell Death and Disease. 11(2). 104–104. 21 indexed citations

11.

Жао, Леи, et al.. (2019). LOX inhibition downregulates MMP-2 and MMP-9 in gastric cancer tissues and cells. Journal of Cancer. 10(26). 6481–6490. 35 indexed citations

12.

Xie, Peng, et al.. (2019). The profiling of amino acids in crop milk and plasma and mRNA abundance of amino acid transporters and enzymes related to amino acid synthesis in the crop tissue of male and female pigeons during incubation and chick-rearing periods. Poultry Science. 99(3). 1628–1642. 10 indexed citations

13.

Wang, Fan, Juan Wan, Qiuyan Li, et al.. (2017). Lysyl oxidase is involved in synovial hyperplasia and angiogenesis in rats with collagen-induced arthritis. Molecular Medicine Reports. 16(5). 6736–6742. 5 indexed citations

14.

Han, Mei, et al.. (2017). MiR-30c-5p suppresses migration, invasion and epithelial to mesenchymal transition of gastric cancer via targeting MTA1. Biomedicine & Pharmacotherapy. 93. 554–560. 56 indexed citations

15.

Dong, Lihua, Pin Lv, & Mei Han. (2012). Roles of SM22α in Cellular Plasticity and Vascular Diseases. Cardiovascular & Haematological Disorders - Drug Targets. 12(2). 119–125. 16 indexed citations

16.

Dong, Lihua, Jin‐Kun Wen, Sui‐Bing Miao, et al.. (2010). Baicalin inhibits PDGF-BB-stimulated vascular smooth muscle cell proliferation through suppressing PDGFRβ-ERK signaling and increase in p27 accumulation and prevents injury-induced neointimal hyperplasia. Cell Research. 20(11). 1252–1262. 81 indexed citations

17.

Haslett, Judith N., Peter B. Kang, Mei Han, et al.. (2005). The influence of muscle type and dystrophin deficiency on murine expression profiles. Mammalian Genome. 16(10). 739–748. 34 indexed citations

18.

Kang, Peter B., Alvin T. Kho, Despina Sanoudou, et al.. (2005). Variations in gene expression among different types of human skeletal muscle. Muscle & Nerve. 32(4). 483–491. 26 indexed citations

19.

Hamilton, Jock S., et al.. (2005). LOXL null mice demonstrate selective dentate structural changes but maintain dentate granule cell and CA1 pyramidal cell potentiation in the hippocampus. Neuroscience Letters. 390(2). 118–122. 2 indexed citations

20.

Haslett, Judith N., Despina Sanoudou, Alvin T. Kho, et al.. (2003). Gene expression profiling of Duchenne muscular dystrophy skeletal muscle. Neurogenetics. 4(4). 163–171. 75 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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