Minghua Wu

4.3k total citations
59 papers, 3.1k citations indexed

About

Minghua Wu is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Minghua Wu has authored 59 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 29 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Minghua Wu's work include Systemic Sclerosis and Related Diseases (32 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers) and Dermatologic Treatments and Research (6 papers). Minghua Wu is often cited by papers focused on Systemic Sclerosis and Related Diseases (32 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers) and Dermatologic Treatments and Research (6 papers). Minghua Wu collaborates with scholars based in United States, China and United Kingdom. Minghua Wu's co-authors include John Varga, Shervin Assassi, Maureen D. Mayes, Sandeep K. Agarwal, Carol Feghali‐Bostwick, Swati Bhattacharyya, Denisa S. Melichian, Asish K. Ghosh, Filemon K. Tan and Eric T. Chang and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Minghua Wu

56 papers receiving 3.1k citations

Peers

Countries citing papers authored by Minghua Wu

Since Specialization

Citations

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

Fields of papers citing papers by Minghua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Wu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography 2025 ·Journal of Biomedical Optics ·(unknown), Yanping Chen, Minghua Wu, Pavel V. Nikitin, Jessica Gutiérrez, Chandra Mohan, Manmohan Singh, Salavat R. Aglyamov, Shervin Assassi, Kirill V. Larin	0
2	STAT6 suppression prevents bleomycin‐induced dermal fibrosis 2023 ·The FASEB Journal ·Jingjing Huang, (unknown), Nancy Wareing, Minghua Wu, Maureen D. Mayes, Harry Karmouty‐Quintana, Shervin Assassi, Tingting Mills	7
3	Label-Free Detection of Transgenic Crops Using an Isothermal Amplification Reporting CRISPR/Cas12 Assay 2021 ·ACS Synthetic Biology ·Xiaoying Zhu, Hao Yang, Mian Wang, Minghua Wu, Mohammad Rizwan Khan, (unknown), Sha Deng, Rosa Busquets, Guiping He, Ruijie Deng	39
4	Genome-wide identification and evolutionary analysis of RLKs involved in the response to aluminium stress in peanut 2021 ·BMC Plant Biology ·Xin Wang, Minghua Wu, Dong Xiao, (unknown), Jie Zhan, Aiqin Wang, Longfei He	17
5	Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalisation over time 2021 ·Annals of the Rheumatic Diseases ·Brian Skaug, (unknown), William R. Swindell, Gloria A. Salazar, Minghua Wu, Tuan M. Tran, Julio Charles, (unknown), Maureen D. Mayes, Shervin Assassi	15
6	Geniposide inhibited endothelial-mesenchymal transition via the mTOR signaling pathway in a bleomycin-induced scleroderma mouse model. 2017 ·PubMed Central ·(unknown), (unknown), (unknown), (unknown), (unknown), Minghua Wu, Xiaodong Zhou	29
7	Inhibition of miR-660-5p expression suppresses tumor development and metastasis in human breast cancer 2017 ·Genetics and Molecular Research ·Yi Shen, (unknown), (unknown), Lei Bao, Minghua Wu, (unknown)	32
8	B-cells in systemic sclerosis 2015 ·Current Opinion in Rheumatology ·Minghua Wu, Chandra Mohan	11
9	Integrated Analysis of Multiple Gene Expression Profiling Datasets Revealed Novel Gene Signatures and Molecular Markers in Nasopharyngeal Carcinoma 2012 ·Cancer Epidemiology Biomarkers & Prevention ·Chen Huang, Hailin Tang, Wenling Zhang, Xiaoling She, Qianjin Liao, Xiaoling Li, Minghua Wu, Guiyuan Li	17
10	Osteopontin in Systemic Sclerosis and Its Role in Dermal Fibrosis 2012 ·Journal of Investigative Dermatology ·Minghua Wu, Daniel J. Schneider, Maureen D. Mayes, Shervin Assassi, Frank C. Arnett, Filemon K. Tan, Michael R. Blackburn, Sandeep K. Agarwal	74
11	Toll-like receptor 3 upregulation by type I interferon in healthy and scleroderma dermal fibroblasts 2011 ·Arthritis Research & Therapy ·Sandeep K. Agarwal, Minghua Wu, (unknown), Donald H. Parks, Maureen D. Mayes, Frank C. Arnett, Filemon K. Tan	79
12	Early growth response transcription factors: Key mediators of fibrosis and novel targets for anti-fibrotic therapy 2011 ·Matrix Biology ·Swati Bhattacharyya, Minghua Wu, Feng Fang, Warren G. Tourtellotte, Carol Feghali‐Bostwick, John Varga	104
13	Proteasomal inhibition after injury prevents fibrosis by modulating TGF-β₁signalling 2011 ·Thorax ·Gökhan M. Mutlu, G. R. Scott Budinger, Minghua Wu, Anna P. Lam, (unknown), Eleanor Rivera, Daniela Urich, Sergio E. Chiarella, L. Go, Asish K. Ghosh, Moisés Selman, Annie Pardo, John Varga, David W. Kamp, Navdeep S. Chandel, Jacob I. Sznajder, Manu Jain	67
14	Hypoxia-induced alveolar epithelial-mesenchymal transition requires mitochondrial ROS and hypoxia-inducible factor 1 2009 ·American Journal of Physiology-Lung Cellular and Molecular Physiology ·Guofei Zhou, Laura A. Dada, Minghua Wu, Aileen Kelly, Humberto E. Trejo Bittar, Qiyuan Zhou, John Varga, Jacob I. Sznajder	193
15	Identification of aberrant cell cycle regulation in Epstein–Barr virus-associated nasopharyngeal carcinoma by cDNA microarray and gene set enrichment analysis 2009 ·Acta Biochimica et Biophysica Sinica ·Wenling Zhang, Zhaoyang Zeng, Yanhong Zhou, Wei Xiong, Songqing Fan, (unknown), Donghai Huang, Zheng Li, Dan C. Li, Minghua Wu, Xiaoling Li, Shourong Shen, Rong Wang, Cao Li, Ke Tang, Guiyuan Li	47
16	A non-Smad mechanism of fibroblast activation by transforming growth factor-β via c-Abl and Egr-1: selective modulation by imatinib mesylate 2009 ·Oncogene ·Swati Bhattacharyya, Wataru Ishida, Minghua Wu, Mark C. Wilkes, Yasuji Mori, Monique Hinchcliff, Edward B. Leof, John Varga	67
17	[Functional genomics of nasopharyngeal carcinoma susceptibility/suppressor gene]. 2008 ·PubMed ·Xiaoling Li, Minghua Wu, Guiyuan Li	2
18	Constitutive Smad signaling and Smad-dependent collagen gene expression in mouse embryonic fibroblasts lacking peroxisome proliferator-activated receptor-γ 2008 ·Biochemical and Biophysical Research Communications ·Asish K. Ghosh, Jun Wei, Minghua Wu, John Varga	36
19	In perspective: Murine models of scleroderma 2008 ·Current Rheumatology Reports ·Minghua Wu, John Varga	26
20	Increased Bleomycin-Induced Skin Fibrosis in Mice Lacking the Th1-Specific Transcription Factor T-bet 2006 ·Pathobiology ·Gabriella Lakos, Denisa S. Melichian, Minghua Wu, John Varga	49

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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