Ming-Bai Hu

518 total citations
19 papers, 435 citations indexed

About

Ming-Bai Hu is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming-Bai Hu has authored 19 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming-Bai Hu's work include Advanced Biosensing Techniques and Applications (4 papers), Estrogen and related hormone effects (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ming-Bai Hu is often cited by papers focused on Advanced Biosensing Techniques and Applications (4 papers), Estrogen and related hormone effects (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ming-Bai Hu collaborates with scholars based in China and United States. Ming-Bai Hu's co-authors include Chun‐Wei Peng, Shengrong Sun, Chuang Chen, Dai‐Wen Pang, Yan Li, Dingfen Han, Xia He-shun, Xueqin Yang, Shaoping Liu and Yiping Gong and has published in prestigious journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Ming-Bai Hu

19 papers receiving 431 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-Bai Hu China 14 177 109 102 55 51 19 435
Liping Zhou China 14 157 0.9× 93 0.9× 67 0.7× 42 0.8× 40 0.8× 52 487
Melissa Teoh-Fitzgerald United States 8 305 1.7× 114 1.0× 106 1.0× 28 0.5× 30 0.6× 13 577
Chengyuan Qian China 14 297 1.7× 122 1.1× 99 1.0× 43 0.8× 29 0.6× 47 552
Shushu Wang China 15 258 1.5× 106 1.0× 118 1.2× 19 0.3× 76 1.5× 37 536
Zhimin Fan China 15 237 1.3× 141 1.3× 227 2.2× 37 0.7× 79 1.5× 58 685
Alok Jaiswal Finland 13 344 1.9× 108 1.0× 62 0.6× 18 0.3× 47 0.9× 30 622
Lorenzo Colarossi Italy 13 211 1.2× 124 1.1× 103 1.0× 21 0.4× 27 0.5× 30 443
Weina Han China 12 273 1.5× 63 0.6× 65 0.6× 29 0.5× 39 0.8× 33 582
Sunita N. Shinde United States 13 415 2.3× 52 0.5× 52 0.5× 25 0.5× 44 0.9× 16 688

Countries citing papers authored by Ming-Bai Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Bai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Bai Hu

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

All Works

19 of 19 papers shown
1.
Liu, Hui, et al.. (2022). Heat Shock Protein 70 Mediates the Protective Effect of Naringenin on High-Glucose-Induced Alterations of Endothelial Function. International Journal of Endocrinology. 2022. 1–10. 6 indexed citations
2.
Guan, Feng, Youming Ding, Yikang He, et al.. (2022). Involvement of adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 1 in diallyl trisulfide-induced cytotoxicity in hepatocellular carcinoma cells. Korean Journal of Physiology and Pharmacology. 26(6). 457–468. 2 indexed citations
3.
Wu, Juan, Ming-Bai Hu, Jinhua Wu, et al.. (2019). Glutamate affects the CYP1B1- and CYP2U1-mediated hydroxylation of arachidonic acid metabolism via astrocytic mGlu5 receptor. The International Journal of Biochemistry & Cell Biology. 110. 111–121. 21 indexed citations
4.
Hu, Ming-Bai, Jingbo Gao, Yuwen Qi, et al.. (2018). Atorvastatin induces autophagy in MDA-MB-231 breast cancer cells. Ultrastructural Pathology. 42(5). 409–415. 31 indexed citations
5.
Zhu, Quan‐Fei, Jinhua Wu, Ming-Bai Hu, et al.. (2017). Glutamate affects the production of epoxyeicosanoids within the brain: The up-regulation of brain CYP2J through the MAPK-CREB signaling pathway. Toxicology. 381. 31–38. 18 indexed citations
6.
Chen, Chuang, Si Sun, Jingping Yuan, et al.. (2016). Characteristics of breast cancer in Central China, literature review and comparison with USA. The Breast. 30. 208–213. 42 indexed citations
7.
Wang, Lin‐Wei, Guifang Yang, Jiamei Chen, et al.. (2014). A Clinical Database of Breast Cancer Patients Reveals Distinctive Clinico-pathological Characteristics: a Study From Central China. Asian Pacific Journal of Cancer Prevention. 15(4). 1621–1626. 15 indexed citations
8.
Wang, Lin‐Wei, Aiping Qu, Jingping Yuan, et al.. (2013). Computer-Based Image Studies on Tumor Nests Mathematical Features of Breast Cancer and Their Clinical Prognostic Value. PLoS ONE. 8(12). e82314–e82314. 25 indexed citations
9.
Hu, Ming-Bai, et al.. (2013). Bleomycin-induced mutagen sensitivity, passive smoking, and risk of breast cancer in Chinese women: a case–control study. Cancer Causes & Control. 24(4). 629–636. 8 indexed citations
10.
Liu, Xiuli, Chun‐Wei Peng, Chuang Chen, et al.. (2011). Quantum dots-based double-color imaging of HER2 positive breast cancer invasion. Biochemical and Biophysical Research Communications. 409(3). 577–582. 42 indexed citations
11.
Chen, Chuang, Shengrong Sun, Yiping Gong, et al.. (2011). Quantum dots-based molecular classification of breast cancer by quantitative spectroanalysis of hormone receptors and HER2. Biomaterials. 32(30). 7592–7599. 47 indexed citations
12.
Chen, Chuang, Xia He-shun, Yiping Gong, et al.. (2010). The quantitative detection of total HER2 load by quantum dots and the identification of a new subtype of breast cancer with different 5-year prognosis. Biomaterials. 31(33). 8818–8825. 55 indexed citations
13.
Li, Qiu, et al.. (2010). Metastatic factors for Krukenberg tumor: a clinical study on 102 cases. Medical Oncology. 28(4). 1514–1519. 19 indexed citations
14.
Hu, Ming-Bai, Wei Xie, Dingfen Han, et al.. (2006). [Study on the relationship between polymorphisms of genes (CYP17, CYP19 and SULT1A1) and susceptibility to breast cancer in Chinese women].. PubMed. 27(4). 351–5. 9 indexed citations
15.
Li, Xiujuan, Zhaorui Zeng, Ming-Bai Hu, & Ming Mao. (2005). High operationally stable sol–gel diglycidyloxycalix[4]arene fiber for solid‐phase microextraction of propranolol in human urine. Journal of Separation Science. 28(18). 2489–2500. 18 indexed citations
16.
Han, Dingfen, Xin Zhou, Ming-Bai Hu, et al.. (2005). Polymorphisms of estrogen-metabolizing genes and breast cancer risk: a multigenic study.. PubMed. 118(18). 1507–16. 29 indexed citations
17.
Han, Dingfen, Xin Zhou, Ming-Bai Hu, et al.. (2004). Sulfotransferase 1A1 (SULT1A1) polymorphism and breast cancer risk in Chinese women. Toxicology Letters. 150(2). 167–177. 30 indexed citations
18.
Han, Dingfen, Xin Zhou, Ming-Bai Hu, et al.. (2003). [The association of sulfotransferase1A1 His allele and breast cancer in Han ethnic Chinese women].. PubMed. 83(20). 1759–63. 1 indexed citations
19.
Yang, Guoliang, et al.. (1998). Clinical Performance of the AMDL DR-70™ Immunoassay Kit for Cancer Detection. Journal of Immunoassay. 19(1). 63–72. 17 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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