Bing‐Ching Ho

1.6k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Bing‐Ching Ho is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Bing‐Ching Ho has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Bing‐Ching Ho's work include RNA regulation and disease (5 papers), Viral Infections and Immunology Research (5 papers) and Cancer Genomics and Diagnostics (5 papers). Bing‐Ching Ho is often cited by papers focused on RNA regulation and disease (5 papers), Viral Infections and Immunology Research (5 papers) and Cancer Genomics and Diagnostics (5 papers). Bing‐Ching Ho collaborates with scholars based in Taiwan, United States and Australia. Bing‐Ching Ho's co-authors include Sung‐Liang Yu, Pan‐Chyr Yang, Kang‐Yi Su, Gee‐Chen Chang, Min‐Liang Kuo, Ker-Chau Li, Jin‐Yuan Shih, James Chih‐Hsin Yang, Wing‐Kai Chan and Hsuan‐Yu Chen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Bing‐Ching Ho

29 papers receiving 1.2k citations

Hit Papers

Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T7... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing‐Ching Ho Taiwan 17 627 420 409 352 160 29 1.2k
Hien Dang United States 16 684 1.1× 354 0.8× 165 0.4× 296 0.8× 157 1.0× 28 1.2k
Qiang Hou China 19 587 0.9× 257 0.6× 74 0.2× 193 0.5× 167 1.0× 59 1.1k
Sultan Tousif United States 18 592 0.9× 268 0.6× 91 0.2× 193 0.5× 349 2.2× 35 1.2k
Xuan Bich Trinh Belgium 22 618 1.0× 380 0.9× 184 0.4× 533 1.5× 178 1.1× 39 1.4k
Payel Chatterjee United States 23 760 1.2× 178 0.4× 364 0.9× 283 0.8× 90 0.6× 47 1.5k
Hassan Lemjabbar United States 11 440 0.7× 198 0.5× 381 0.9× 249 0.7× 184 1.1× 11 1.2k
Xueyan Duan China 18 796 1.3× 119 0.3× 173 0.4× 156 0.4× 88 0.6× 41 1.3k
Yonghua Bao China 20 707 1.1× 384 0.9× 145 0.4× 168 0.5× 228 1.4× 41 1.2k
Tao Yan China 18 491 0.8× 145 0.3× 82 0.2× 192 0.5× 95 0.6× 87 1.1k
Ebrahim Faghihloo Iran 20 496 0.8× 261 0.6× 104 0.3× 287 0.8× 154 1.0× 78 1.1k

Countries citing papers authored by Bing‐Ching Ho

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Ching Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing‐Ching Ho. 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 Bing‐Ching Ho. The network helps show where Bing‐Ching Ho may publish in the future.

Co-authorship network of co-authors of Bing‐Ching Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Ching Ho. A scholar is included among the top collaborators of Bing‐Ching Ho 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 Bing‐Ching Ho. Bing‐Ching Ho 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
1.
Chang, Ya‐Ling, et al.. (2021). IKKε isoform switching governs the immune response against EV71 infection. Communications Biology. 4(1). 663–663. 11 indexed citations
2.
Chen, Yan-Ming, Kathryn G. Roberts, Kai‐Hsin Lin, et al.. (2021). Philadelphia chromosome-negative B-cell acute lymphoblastic leukaemia with kinase fusions in Taiwan. Scientific Reports. 11(1). 5802–5802. 5 indexed citations
3.
Chang, Li‐Chun, Han‐Mo Chiu, Bing‐Ching Ho, et al.. (2020). Copy Number Alterations of Depressed Colorectal Neoplasm Predict the Survival and Response to Oxaliplatin in Proximal Colon Cancer. Cancers. 12(6). 1527–1527. 5 indexed citations
5.
Ho, Bing‐Ching, et al.. (2019). Host relieves lnc‐IRAK3‐3‐sequestered miR‐891b to attenuate apoptosis in Enterovirus 71 infection. Cellular Microbiology. 21(9). e13043–e13043. 15 indexed citations
6.
Huang, Yao‐Ting, et al.. (2018). Genome Sequencing and Comparative Analysis of Stenotrophomonas acidaminiphila Reveal Evolutionary Insights Into Sulfamethoxazole Resistance. Frontiers in Microbiology. 9. 1013–1013. 10 indexed citations
7.
Chang, Gee‐Chen, Yi‐Ju Chen, Yi‐Chiung Hsu, et al.. (2017). FAM198B Is Associated with Prolonged Survival and Inhibits Metastasis in Lung Adenocarcinoma via Blockage of ERK-Mediated MMP-1 Expression. Clinical Cancer Research. 24(4). 916–926. 26 indexed citations
8.
Chang, Wen‐Hsin, Bing‐Ching Ho, Yi‐Jing Hsiao, et al.. (2016). JAG1 Is Associated with Poor Survival through Inducing Metastasis in Lung Cancer. PLoS ONE. 11(3). e0150355–e0150355. 24 indexed citations
9.
Su, Emily Chia‐Yu, et al.. (2016). ChemiRs: a web application for microRNAs and chemicals. BMC Bioinformatics. 17(1). 167–167. 20 indexed citations
10.
Su, Kang‐Yi, Jau‐Tsuen Kao, Bing‐Ching Ho, et al.. (2016). Implementation and Quality Control of Lung Cancer EGFR Genetic Testing by MALDI-TOF Mass Spectrometry in Taiwan Clinical Practice. Scientific Reports. 6(1). 30944–30944. 14 indexed citations
11.
Liu, Chia-Hsin, Bing‐Ching Ho, Ya-Hsuan Chang, et al.. (2016). ePIANNO: ePIgenomics ANNOtation tool. PLoS ONE. 11(2). e0148321–e0148321. 2 indexed citations
12.
Ho, Bing‐Ching, Pan‐Chyr Yang, & Sung‐Liang Yu. (2016). MicroRNA and Pathogenesis of Enterovirus Infection. Viruses. 8(1). 11–11. 39 indexed citations
13.
Ho, Bing‐Ching, et al.. (2015). Houttuynia cordata Targets the Beginning Stage of Herpes Simplex Virus Infection. PLoS ONE. 10(2). e0115475–e0115475. 75 indexed citations
14.
15.
Ho, Bing‐Ching, I‐Shing Yu, Li‐Fan Lu, et al.. (2014). Inhibition of miR-146a prevents enterovirus-induced death by restoring the production of type I interferon. Nature Communications. 5(1). 3344–3344. 120 indexed citations
16.
Chen, Chi-Kuan, Ching‐Yao Yang, Kuo‐Tai Hua, et al.. (2013). Leukocyte cell-derived chemotaxin 2 antagonizes MET receptor activation to suppress hepatocellular carcinoma vascular invasion by protein tyrosine phosphatase 1B recruitment. Hepatology. 59(3). 974–985. 45 indexed citations
17.
Su, Kang‐Yi, Hsuan‐Yu Chen, Ker-Chau Li, et al.. (2012). Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T790M Mutation Predicts Shorter EGFR Tyrosine Kinase Inhibitor Response Duration in Patients With Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 30(4). 433–440. 429 indexed citations breakdown →
18.
Ho, Bing‐Ching, Sung‐Liang Yu, Jeremy J.W. Chen, et al.. (2011). Enterovirus-Induced miR-141 Contributes to Shutoff of Host Protein Translation by Targeting the Translation Initiation Factor eIF4E. Cell Host & Microbe. 9(1). 58–69. 128 indexed citations
19.
Li, Steven Shoei‐Lung, Sung‐Liang Yu, Li‐Pin Kao, et al.. (2009). Target identification of microRNAs expressed highly in human embryonic stem cells. Journal of Cellular Biochemistry. 106(6). 1020–1030. 46 indexed citations
20.
Singh, Sher, Sung‐Liang Yu, Li‐Pin Kao, et al.. (2009). Identification of microRNAs regulated by activin A in human embryonic stem cells. Journal of Cellular Biochemistry. 109(1). 93–102. 36 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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