Ming-Heng Wu

1.3k total citations
13 papers, 999 citations indexed

About

Ming-Heng Wu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ming-Heng Wu has authored 13 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Ming-Heng Wu's work include Galectins and Cancer Biology (6 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Tyrosine Phosphatases (3 papers). Ming-Heng Wu is often cited by papers focused on Galectins and Cancer Biology (6 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Tyrosine Phosphatases (3 papers). Ming-Heng Wu collaborates with scholars based in Taiwan, United States and Nigeria. Ming-Heng Wu's co-authors include Yuh-Ling Chen, Wei-Fan Chiang, Tse‐Ming Hong, Ying-Tai Jin, Hsiao-Chin Hong, Szu‐Hua Pan, Chawnshang Chang, Wen‐Lung Ma, Shuyuan Yeh and Cheng-Lung Hsu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Ming-Heng Wu

13 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Heng Wu Taiwan 11 646 338 304 298 97 13 999
Markus Grubinger Austria 10 531 0.8× 180 0.5× 344 1.1× 214 0.7× 134 1.4× 12 916
Xiubao Ren China 16 378 0.6× 358 1.1× 685 2.3× 216 0.7× 143 1.5× 42 1.0k
Yingtang Gao China 19 488 0.8× 244 0.7× 307 1.0× 304 1.0× 84 0.9× 66 1.1k
Chuang Lu China 12 871 1.3× 130 0.4× 276 0.9× 207 0.7× 40 0.4× 16 1.0k
Christine Gjerdrum Norway 3 514 0.8× 385 1.1× 488 1.6× 158 0.5× 80 0.8× 6 1.1k
Fabien Rodriguez Luxembourg 10 597 0.9× 197 0.6× 463 1.5× 503 1.7× 95 1.0× 11 1.1k
Hyeong-Reh Choi Kim United States 11 694 1.1× 557 1.6× 481 1.6× 344 1.2× 48 0.5× 11 1.3k
Jin-Ping Lai United States 15 545 0.8× 172 0.5× 212 0.7× 125 0.4× 145 1.5× 17 899
Ashwin Somasundaram United States 12 304 0.5× 291 0.9× 397 1.3× 121 0.4× 146 1.5× 33 804
Chu‐Bin Luo China 15 510 0.8× 242 0.7× 295 1.0× 451 1.5× 132 1.4× 26 972

Countries citing papers authored by Ming-Heng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Heng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Heng Wu. 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 Ming-Heng Wu. The network helps show where Ming-Heng Wu may publish in the future.

Co-authorship network of co-authors of Ming-Heng Wu

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

All Works

13 of 13 papers shown
1.
Huang, Yanyu, et al.. (2021). Immunosuppressive Roles of Galectin-1 in the Tumor Microenvironment. Biomolecules. 11(10). 1398–1398. 42 indexed citations
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Huang, Tsui‐Chin, Ming-Heng Wu, Chi‐Chen Huang, et al.. (2017). Distinct roles and differential expression levels of Wnt5a mRNA isoforms in colorectal cancer cells. PLoS ONE. 12(8). e0181034–e0181034. 38 indexed citations
4.
Wu, Ming-Heng, Yuh-Ling Chen, Kuen‐Haur Lee, et al.. (2017). Glycosylation-dependent galectin-1/neuropilin-1 interactions promote liver fibrosis through activation of TGF-β- and PDGF-like signals in hepatic stellate cells. Scientific Reports. 7(1). 11006–11006. 50 indexed citations
5.
Shih, Jing-Wen, Wei-Fan Chiang, Alexander T.H. Wu, et al.. (2017). Long noncoding RNA LncHIFCAR/MIR31HG is a HIF-1α co-activator driving oral cancer progression. Nature Communications. 8(1). 15874–15874. 160 indexed citations
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Wu, Ming-Heng, et al.. (2014). Galectin-1 induces vascular permeability through the neuropilin-1/vascular endothelial growth factor receptor-1 complex. Angiogenesis. 17(4). 839–849. 39 indexed citations
9.
Wu, Ming-Heng, Hsiao-Chin Hong, Tse‐Ming Hong, et al.. (2011). Targeting Galectin-1 in Carcinoma-Associated Fibroblasts Inhibits Oral Squamous Cell Carcinoma Metastasis by Downregulating MCP-1/CCL2 Expression. Clinical Cancer Research. 17(6). 1306–1316. 126 indexed citations
10.
Wu, Ming-Heng, Wen‐Lung Ma, Cheng-Lung Hsu, et al.. (2010). Androgen Receptor Promotes Hepatitis B Virus–Induced Hepatocarcinogenesis Through Modulation of Hepatitis B Virus RNA Transcription. Science Translational Medicine. 2(32). 32ra35–32ra35. 163 indexed citations
11.
Wu, Ming-Heng, Tse‐Ming Hong, Hui-Wen Cheng, et al.. (2009). Galectin-1-Mediated Tumor Invasion and Metastasis, Up-Regulated Matrix Metalloproteinase Expression, and Reorganized Actin Cytoskeletons. Molecular Cancer Research. 7(3). 311–318. 127 indexed citations
12.
Hong, Tse‐Ming, Yuh-Ling Chen, Yi-Ying Wu, et al.. (2007). Targeting Neuropilin 1 as an Antitumor Strategy in Lung Cancer. Clinical Cancer Research. 13(16). 4759–4768. 163 indexed citations
13.
Chiang, Wei-Fan, Shyun-Yeu Liu, Ching-Nan Lin, et al.. (2007). Overexpression of galectin-1 at the tumor invasion front is associated with poor prognosis in early-stage oral squamous cell carcinoma. Oral Oncology. 44(4). 325–334. 63 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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