Mingbang Wang

10.3k total citations
60 papers, 1.5k citations indexed

About

Mingbang Wang is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Mingbang Wang has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Cognitive Neuroscience and 14 papers in Genetics. Recurrent topics in Mingbang Wang's work include Autism Spectrum Disorder Research (16 papers), Gut microbiota and health (15 papers) and Metabolism and Genetic Disorders (6 papers). Mingbang Wang is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Gut microbiota and health (15 papers) and Metabolism and Genetic Disorders (6 papers). Mingbang Wang collaborates with scholars based in China, United States and United Kingdom. Mingbang Wang's co-authors include Wenhao Zhou, Fusheng He, Ruihuan Xu, Jiaxiu Zhou, C Cai, Rong Han, Yan Wang, Yang‐hui Liu, Yuanyuan Guo and Dan Xu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Mingbang Wang

59 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingbang Wang 815 334 266 213 208 60 1.5k
Fusheng He 522 0.6× 131 0.4× 147 0.6× 142 0.7× 119 0.6× 23 956
Soyoung Ha 785 1.0× 214 0.6× 179 0.7× 88 0.4× 60 0.3× 6 1.5k
Mei Lü 844 1.0× 95 0.3× 252 0.9× 92 0.4× 94 0.5× 61 1.6k
Nadja Bakočević 1.3k 1.6× 593 1.8× 619 2.3× 63 0.3× 101 0.5× 5 2.1k
Feitong Liu 865 1.1× 122 0.4× 368 1.4× 77 0.4× 92 0.4× 23 1.3k
Francesca Mangiola 759 0.9× 93 0.3× 154 0.6× 53 0.2× 81 0.4× 34 1.4k
Khaled Saad 399 0.5× 90 0.3× 231 0.9× 661 3.1× 589 2.8× 104 2.0k
Yuanyuan Huang 356 0.4× 170 0.5× 152 0.6× 85 0.4× 138 0.7× 69 1.2k

Countries citing papers authored by Mingbang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingbang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingbang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingbang Wang. A scholar is included among the top collaborators of Mingbang Wang 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 Mingbang Wang. Mingbang Wang 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
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2.
Liu, Lingling, et al.. (2025). Tas2r105 ameliorates gut inflammation, possibly through influencing the gut microbiota and metabolites. mSystems. 10(4). e0155624–e0155624. 2 indexed citations
3.
Zheng, Lifeng, Yinming Jiao, Yan Tan, et al.. (2024). Human-derived fecal microbiota transplantation alleviates social deficits of the BTBR mouse model of autism through a potential mechanism involving vitamin B 6 metabolism. mSystems. 9(6). e0025724–e0025724. 15 indexed citations
4.
Zhong, Jie, Chaodong Wang, Dan Zhang, et al.. (2024). PCDHA9 as a candidate gene for amyotrophic lateral sclerosis. Nature Communications. 15(1). 2189–2189. 3 indexed citations
5.
Chen, Wan-Ling, Xueli Zhang, Zimiao Chen, et al.. (2024). The Association of Neonatal Gut Microbiota Community State Types with Birth Weight. Children. 11(7). 770–770. 1 indexed citations
6.
Zuo, Xiaoyu, Mingbang Wang, Yuhan Sun, et al.. (2024). Outgrowth of Escherichia is susceptible to aggravation of systemic lupus erythematosus. Arthritis Research & Therapy. 26(1). 3 indexed citations
7.
Cui, Yaqiong, Pan Guo, Hanjie Wang, et al.. (2023). Comprehensive systematic review and meta-analysis of the association between common genetic variants and autism spectrum disorder. Gene. 887. 147723–147723. 14 indexed citations
8.
Wang, Mingbang, et al.. (2023). [BCS1Neonatal growth retardation and lactic acidosis initiated by novel mutation sites in L gene].. PubMed. 57(6). 912–917. 1 indexed citations
9.
Xie, Jianxin, Mingbang Wang, Hanbing Ning, et al.. (2023). Global burden of type 2 diabetes in adolescents and young adults, 19902019: systematic analysis of the Global Burden of Disease Study 2019. Yearbook of pediatric endocrinology. 34 indexed citations
10.
Zhang, Caiyan, Tingyan Liu, Yixue Wang, et al.. (2023). Metagenomic next-generation sequencing of bronchoalveolar lavage fluid from children with severe pneumonia in pediatric intensive care unit. Frontiers in Cellular and Infection Microbiology. 13. 1082925–1082925. 12 indexed citations
11.
Wan, Lin, Xiu‐Yu Shi, Huimin Yan, et al.. (2023). Abnormalities in Clostridioides and related metabolites before ACTH treatment may be associated with its efficacy in patients with infantile epileptic spasm syndrome. CNS Neuroscience & Therapeutics. 30(1). e14398–e14398. 6 indexed citations
12.
Zeng, Shujuan, Peng Zhang, Xisheng Tang, et al.. (2022). Machine learning approach identifies meconium metabolites as potential biomarkers of neonatal hyperbilirubinemia. Computational and Structural Biotechnology Journal. 20. 1778–1784. 9 indexed citations
13.
Zhang, Peng, et al.. (2021). Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis. Computational and Structural Biotechnology Journal. 19. 3284–3292. 22 indexed citations
14.
Liu, Jing, Mingbang Wang, Weiming Chen, et al.. (2021). Altered Gut Microbiota Taxonomic Compositions of Patients With Sepsis in a Pediatric Intensive Care Unit. Frontiers in Pediatrics. 9. 645060–645060. 30 indexed citations
15.
Wang, Mingbang, Ceymi Doenyas, Jing Wan, et al.. (2020). Virulence factor-related gut microbiota genes and immunoglobulin A levels as novel markers for machine learning-based classification of autism spectrum disorder. Computational and Structural Biotechnology Journal. 19. 545–554. 24 indexed citations
16.
Chen, Jianxia, Jun Chen, Fusheng He, et al.. (2019). Design of a Targeted Sequencing Assay to Detect Rare Mutations in Circulating Tumor DNA. Genetic Testing and Molecular Biomarkers. 23(4). 264–269. 5 indexed citations
17.
Lai, Wentao, Wenfeng Deng, Shu‐xian Xu, et al.. (2019). Shotgun metagenomics reveals both taxonomic and tryptophan pathway differences of gut microbiota in major depressive disorder patients. Psychological Medicine. 51(1). 90–101. 103 indexed citations
18.
Liu, Aiping, Wei Zhou, Wei Zhou, et al.. (2019). Altered Urinary Amino Acids in Children With Autism Spectrum Disorders. Frontiers in Cellular Neuroscience. 13. 7–7. 46 indexed citations
19.
20.
Chen, Cuicui, Mingbang Wang, Zhaoqin Zhu, et al.. (2016). Multiple gene mutations identified in patients infected with influenza A (H7N9) virus. Scientific Reports. 6(1). 25614–25614. 7 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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