Qing Hao Miow

1.6k total citations · 1 hit paper
14 papers, 987 citations indexed

About

Qing Hao Miow is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Qing Hao Miow has authored 14 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Oncology. Recurrent topics in Qing Hao Miow's work include Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Qing Hao Miow is often cited by papers focused on Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Qing Hao Miow collaborates with scholars based in Singapore, Japan and United States. Qing Hao Miow's co-authors include Jean Paul Thiery, Seiichi Mori, Tuan Zea Tan, Ruby Yun‐Ju Huang, Tetsuo Noda, Yoshio Miki, Jieru Ye, Jieying Amelia Lau, Takako Yokomizo‐Nakano and Ikuo Konishi and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Scientific Reports.

In The Last Decade

Qing Hao Miow

14 papers receiving 983 citations

Hit Papers

Epithelial‐mesenchymal tr... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Epithelial‐mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients
    2014 511 citations Tuan Zea Tan, Qing Hao Miow et al. EMBO Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Hao Miow Singapore 9 529 462 325 165 98 14 987
Ju‐Yeon Jeong South Korea 20 714 1.3× 384 0.8× 557 1.7× 263 1.6× 52 0.5× 31 1.1k
Rashna Madan United States 18 316 0.6× 368 0.8× 188 0.6× 119 0.7× 38 0.4× 65 869
Chenfei Zhou China 22 786 1.5× 581 1.3× 512 1.6× 188 1.1× 43 0.4× 68 1.5k
Eva Colás Spain 21 624 1.2× 231 0.5× 408 1.3× 185 1.1× 223 2.3× 42 1.2k
Bella S. Guerrouahen Qatar 13 467 0.9× 462 1.0× 364 1.1× 99 0.6× 30 0.3× 21 1.1k
Lizhou Jia China 19 468 0.9× 433 0.9× 265 0.8× 123 0.7× 66 0.7× 45 968
Salvatore A. Del Prete United States 10 307 0.6× 374 0.8× 154 0.5× 99 0.6× 32 0.3× 13 665
Ana M. Mendes‐Pereira United Kingdom 8 737 1.4× 559 1.2× 153 0.5× 101 0.6× 141 1.4× 10 973
Nicole Houston United States 18 375 0.7× 635 1.4× 96 0.3× 123 0.7× 223 2.3× 40 969
Maaike P.G. Vreeswijk Netherlands 22 992 1.9× 518 1.1× 363 1.1× 82 0.5× 189 1.9× 50 1.7k

Countries citing papers authored by Qing Hao Miow

Since Specialization
Citations

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

Fields of papers citing papers by Qing Hao Miow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Hao Miow. 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 Qing Hao Miow. The network helps show where Qing Hao Miow may publish in the future.

Co-authorship network of co-authors of Qing Hao Miow

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

All Works

14 of 14 papers shown
1.
Bai, Chenjun, Ji‐Man Hong, Qing Hao Miow, et al.. (2023). CENTRAL NERVOUS SYSTEM TUBERCULOSIS IMMUNOPATHOLOGY IS DRIVEN BY MATRIX DESTRUCTION WITH MATRIX METALLOPROTEINASES INHIBITION REDUCING INFLAMMATION AND IMPROVING SURVIVAL. International Journal of Infectious Diseases. 130. S6–S7. 1 indexed citations
2.
Yamada, Y., et al.. (2022). Whole-genome sequencing of Mycobacterium tuberculosis from Cambodia. Scientific Reports. 12(1). 7693–7693. 8 indexed citations
3.
Bai, Chen, Qing Hao Miow, Pei Min Thong, et al.. (2022). Nos2−/− mice infected with M. tuberculosis develop neurobehavioral changes and immunopathology mimicking human central nervous system tuberculosis. Journal of Neuroinflammation. 19(1). 21–21. 5 indexed citations
4.
Yeong, Joe, Huey Yew Jeffrey Lum, Chong Boon Teo, et al.. (2022). Choice of PD-L1 immunohistochemistry assay influences clinical eligibility for gastric cancer immunotherapy. Gastric Cancer. 25(4). 741–750. 67 indexed citations
5.
Miow, Qing Hao, et al.. (2022). Pan-immune-inflammation value as a predictive biomarker for survival in advanced non-small cell lung cancer patients treated with immunotherapy.. Journal of Clinical Oncology. 40(16_suppl). e21095–e21095. 2 indexed citations
6.
Yeong, Joe, Chong Boon Teo, Benjamin Kye Jyn Tan, et al.. (2022). Choice of PD-L1 immunohistochemistry assay influences clinical eligibility for gastric cancer immunotherapy.. Journal of Clinical Oncology. 40(16_suppl). 4026–4026. 2 indexed citations
7.
Zhao, Haitao, Yan Zhang, Nicholas R. Y. Ho, et al.. (2021). Accessible detection of SARS-CoV-2 through molecular nanostructures and automated microfluidics. Biosensors and Bioelectronics. 194. 113629–113629. 24 indexed citations
8.
Natalia, Auginia, Yu Liu, Nicholas R. Y. Ho, et al.. (2021). Catalytic amplification by transition-state molecular switches for direct and sensitive detection of SARS-CoV-2. Science Advances. 7(12). 18 indexed citations
9.
Ho, Nicholas R. Y., Auginia Natalia, Yu Liu, et al.. (2021). Collaborative Equilibrium Coupling of Catalytic DNA Nanostructures Enables Programmable Detection of SARS‐CoV‐2. Advanced Science. 8(18). e2101155–e2101155. 11 indexed citations
10.
Ho, Nicholas R. Y., Auginia Natalia, Yu Liu, et al.. (2021). Collaborative Equilibrium Coupling of Catalytic DNA Nanostructures Enables Programmable Detection of SARS‐CoV‐2 (Adv. Sci. 18/2021). Advanced Science. 8(18). 1 indexed citations
11.
Miow, Qing Hao, et al.. (2018). Phosphorylation of E‐box binding USF‐1 by PI3K/AKT enhances its transcriptional activation of the WBP2 oncogene in breast cancer cells. The FASEB Journal. 32(12). 6982–7001. 15 indexed citations
12.
Miow, Qing Hao, Tuan Zea Tan, Jieru Ye, et al.. (2014). Epithelial–mesenchymal status renders differential responses to cisplatin in ovarian cancer. Oncogene. 34(15). 1899–1907. 99 indexed citations
13.
Tan, Tuan Zea, Qing Hao Miow, Yoshio Miki, et al.. (2014). Epithelial‐mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients. EMBO Molecular Medicine. 6(10). 1279–1293. 511 indexed citations breakdown →
14.
Tan, Tuan Zea, Qing Hao Miow, Ruby Yun‐Ju Huang, et al.. (2013). Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer. EMBO Molecular Medicine. 5(7). 1051–1066. 223 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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