Ming-Bai Hu

518 citations
19 papers · 435 indexed · h-index 14
Topics
Advanced Biosensing Techniques and Applications (4 papers)Estrogen and related hormone effects (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Ming-Bai Hu

19 papers receiving 431 citations

Peers

Ming-Bai Hu
Comparison fields: 5 of 87
  • Molecular Biology 177
  • Oncology 109
  • Cancer Research 102
  • Materials Chemistry 55
  • Surgery 51
Replace Qiang Dang with:
Qiang Dang China
Ziwen Li China
George Shubinsky Israel
Yunpeng Xie China
Ningwei Zhao China
Xiongwei Huo China
Renee E. Vickman United States
Surendra Pratap Mishra India
Evdoxia Karali Greece
Weiwei Shao China
Ming-Bai Hu relative to Qiang Dang China Qiang Dang's profile →
Citations per field
00.5×10×15×18.3×
Qiang Dang · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 2
3 21
4 31
5 18
6 42
7 15
8 25
9 8
10 42
11 47
12 55
13 19
14
[Study on the relationship between polymorphisms of genes (CYP17, CYP19 and SULT1A1) and susceptibility to breast cancer in Chinese women].
9
15 18
16
Polymorphisms of estrogen-metabolizing genes and breast cancer risk: a multigenic study.
29
17 30
18
[The association of sulfotransferase1A1 His allele and breast cancer in Han ethnic Chinese women].
1
19 17

About Ming-Bai Hu

Ming-Bai Hu is a scholar working on Cancer Research, Pharmacology and Biochemistry, having authored 19 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (4 papers), Estrogen and related hormone effects (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Cancer Research (102 citations), Oncology (109 citations) and Pharmacology (30 citations). Ming-Bai Hu has collaborated with scholars based in China and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

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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