Shih‐Cheng Chang

2.3k total citations
72 papers, 1.8k citations indexed

About

Shih‐Cheng Chang is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shih‐Cheng Chang has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Infectious Diseases and 15 papers in Epidemiology. Recurrent topics in Shih‐Cheng Chang's work include Antimicrobial Resistance in Staphylococcus (18 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Bacterial biofilms and quorum sensing (12 papers). Shih‐Cheng Chang is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (18 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Bacterial biofilms and quorum sensing (12 papers). Shih‐Cheng Chang collaborates with scholars based in Taiwan, United States and Japan. Shih‐Cheng Chang's co-authors include Shin‐Ru Shih, Jang‐Jih Lu, Guang‐Wu Chen, Tzu‐Chun Chen, Jing‐Yi Lin, Shin‐Ru Shih, Tsui-Ping Liu, Chi-Jene Chen, Pi‐Yueh Chang and Victor Stollar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Shih‐Cheng Chang

71 papers receiving 1.8k citations

Peers

Shih‐Cheng Chang
Xing Wu China
Shih‐Cheng Chang
Citations per year, relative to Shih‐Cheng Chang Shih‐Cheng Chang (= 1×) peers Xing Wu

Countries citing papers authored by Shih‐Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Cheng Chang. 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 Shih‐Cheng Chang. The network helps show where Shih‐Cheng Chang may publish in the future.

Co-authorship network of co-authors of Shih‐Cheng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Cheng Chang. A scholar is included among the top collaborators of Shih‐Cheng Chang 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 Shih‐Cheng Chang. Shih‐Cheng Chang 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.
Chen, Yi‐Chun, Wei-Min Ho, Ren-Guey Lee, et al.. (2023). Classifying Alzheimer’s disease and normal subjects using machine learning techniques and genetic-environmental features. Journal of the Formosan Medical Association. 123(6). 701–709. 4 indexed citations
2.
Chao, An‐Shine, Angel Chao, Chyong‐Huey Lai, et al.. (2023). Comparison of immediate germline sequencing and multi-step screening for Lynch syndrome detection in high-risk endometrial and colorectal cancer patients. Journal of Gynecologic Oncology. 35(1). e5–e5. 1 indexed citations
3.
Chen, Yi‐Chun, Shih‐Cheng Chang, Yun‐Shien Lee, et al.. (2023). TOMM40 Genetic Variants Cause Neuroinflammation in Alzheimer’s Disease. International Journal of Molecular Sciences. 24(4). 4085–4085. 20 indexed citations
4.
Lin, Lee-Chung, et al.. (2021). Characterization of New Staphylococcus haemolyticus ST42 Populations in Northern Taiwan. Microbial Drug Resistance. 28(1). 56–62. 8 indexed citations
5.
Lin, Lee-Chung, Chun-Wen Cheng, Shih‐Cheng Chang, & Jang-Jih Lu. (2021). Molecular Epidemiological Survey of Staphylococcus lugdunensis Isolates With Variable Number of Repeats in the von Willebrand Factor-Binding Protein Gene. Frontiers in Cellular and Infection Microbiology. 11. 748640–748640. 3 indexed citations
6.
Chao, Angel, Yi‐Hao Lin, Lan‐Yan Yang, et al.. (2019). BRCA1/2mutation status in patients with metachronous breast and ovarian malignancies: clues towards the implementation of genetic counseling. Journal of Gynecologic Oncology. 31(3). e24–e24. 6 indexed citations
7.
Wu, Yen‐Jung, Earle Williams, Shih‐Cheng Chang, et al.. (2017). The leading role of atomic oxygen in the collocation of elves and hydroxyl nightglow in the low‐latitude mesosphere. Journal of Geophysical Research Space Physics. 122(5). 5550–5567. 7 indexed citations
8.
Kuo, An-Jing, Ying-Hao Wen, Ju‐Hsin Chia, et al.. (2016). Routine identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: Success rate, economic analysis, and clinical outcome. Journal of Microbiology Immunology and Infection. 50(5). 662–668. 65 indexed citations
9.
Cheng, Chun-Wen, Tsui-Ping Liu, Chun‐Fu Yeh, et al.. (2015). Persistence of a major endemic clone of oxacillin-resistant Staphylococcus lugdunensis sequence type 6 at a tertiary medical centre in northern Taiwan. International Journal of Infectious Diseases. 36. 72–77. 17 indexed citations
10.
Mok, Chee Keng, Shih‐Cheng Chang, Guang‐Wu Chen, et al.. (2014). Pyrosequencing reveals an oseltamivir-resistant marker in the quasispecies of avian influenza A (H7N9) virus. Journal of Microbiology Immunology and Infection. 48(4). 465–469. 12 indexed citations
11.
Chang, Shih‐Cheng, Yhu‐Chering Huang, Cheng‐Hsun Chiu, et al.. (2013). Efficacy of alcohols and alcohol-based hand disinfectants against human enterovirus 71. Journal of Hospital Infection. 83(4). 288–293. 25 indexed citations
12.
Chang, Shih‐Cheng, Guang‐Wu Chen, Kuo‐Chien Tsao, et al.. (2012). Genetic characterization of enterovirus 71 isolated from patients with severe disease by comparative analysis of complete genomes. Journal of Medical Virology. 84(6). 931–939. 48 indexed citations
13.
Lin, Ju-Li, et al.. (2011). High-Resolution Melting Analysis Is a More Effective Approach for Screening TSC Genes Mutations. Genetic Testing and Molecular Biomarkers. 15(6). 415–421. 3 indexed citations
14.
Lee, Min-Shi, Tzou‐Yien Lin, Pai-Shan Chiang, et al.. (2010). An Investigation of Epidemic Enterovirus 71 Infection in Taiwan, 2008. The Pediatric Infectious Disease Journal. 29(11). 1030–1034. 50 indexed citations
15.
Kuo, Chih‐Jung, Jiun‐Jie Shie, Jim‐Min Fang, et al.. (2008). Design, synthesis, and evaluation of 3C protease inhibitors as anti-enterovirus 71 agents. Bioorganic & Medicinal Chemistry. 16(15). 7388–7398. 75 indexed citations
16.
Chang, Shih‐Cheng, et al.. (2008). Development of antiviral agents for enteroviruses. Journal of Antimicrobial Chemotherapy. 62(6). 1169–1173. 69 indexed citations
17.
Li, Wen-Chen, Shin‐Ru Shih, Yhu‐Chering Huang, et al.. (2008). Clinical and genetic characterization of severe influenza B-associated diseases during an outbreak in Taiwan. Journal of Clinical Virology. 42(1). 45–51. 45 indexed citations
18.
Chen, Guang‐Wu, Shih‐Cheng Chang, Chee Keng Mok, et al.. (2006). Genomic Signatures of Human versus Avian Influenza A Viruses. Emerging infectious diseases. 12(7). 1353–1360. 224 indexed citations
19.
Li, Meiling, Tsu‐An Hsu, Tzu‐Chun Chen, et al.. (2002). The 3C Protease Activity of Enterovirus 71 Induces Human Neural Cell Apoptosis. Virology. 293(2). 386–395. 145 indexed citations
20.
Liau, Ming‐Yi, et al.. (1990). [Preparation of toxoid from Taiwan cobra (Naja naja atra) venom].. PubMed. 46(1). 1–6. 2 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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