Chin‐Chung Shu

3.0k total citations
126 papers, 2.0k citations indexed

About

Chin‐Chung Shu is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Chin‐Chung Shu has authored 126 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Infectious Diseases, 74 papers in Epidemiology and 37 papers in Surgery. Recurrent topics in Chin‐Chung Shu's work include Tuberculosis Research and Epidemiology (71 papers), Mycobacterium research and diagnosis (45 papers) and Pneumocystis jirovecii pneumonia detection and treatment (22 papers). Chin‐Chung Shu is often cited by papers focused on Tuberculosis Research and Epidemiology (71 papers), Mycobacterium research and diagnosis (45 papers) and Pneumocystis jirovecii pneumonia detection and treatment (22 papers). Chin‐Chung Shu collaborates with scholars based in Taiwan, United States and China. Chin‐Chung Shu's co-authors include Jann‐Yuan Wang, Chong‐Jen Yu, Li‐Na Lee, Chih‐Hsin Lee, Jann‐Tay Wang, Nin‐Chieh Hsu, Hsin‐Chih Lai, Kun‐Mao Chao, Yu‐Feng Lin and Ming‐Chia Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Chin‐Chung Shu

119 papers receiving 2.0k citations

Peers

Chin‐Chung Shu
Byeong‐Ho Jeong South Korea
Song Yee Kim South Korea
Ben van der Hoven Netherlands
Clark D Russell United Kingdom
Man Yee Yung Hong Kong
Robert J. Greenstein United States
Chin‐Chung Shu
Citations per year, relative to Chin‐Chung Shu Chin‐Chung Shu (= 1×) peers Jason A. Trubiano

Countries citing papers authored by Chin‐Chung Shu

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Chung Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Chung Shu. 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 Chin‐Chung Shu. The network helps show where Chin‐Chung Shu may publish in the future.

Co-authorship network of co-authors of Chin‐Chung Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Chung Shu. A scholar is included among the top collaborators of Chin‐Chung Shu 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 Chin‐Chung Shu. Chin‐Chung Shu 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.
Lee, Chung-Shu, et al.. (2025). The impacts of SGLT2 inhibitors on the mortality of patients with tuberculosis. Journal of Infection and Public Health. 18(5). 102686–102686.
2.
Kao, Tung‐Wei, Meng‐Tsan Tsai, Sung‐Ching Pan, et al.. (2025). Concurrent pulmonary TB and histoplasmosis in an HIV-negative patient with Evans Syndrome. PubMed. 2(3). 176–178.
3.
Shu, Chin‐Chung, Shu‐Min Lin, Tsai-Yu Wang, et al.. (2025). Prevalent and incident latent tuberculosis infection among healthcare workers in Taiwan: A multi-center observational study. Journal of Microbiology Immunology and Infection.
4.
Lin, Tzu-Lung, Chia-Chen Lu, Chang‐Tsu Yuan, et al.. (2024). Gut microbiota dysbiosis-related susceptibility to nontuberculous mycobacterial lung disease. Gut Microbes. 16(1). 2361490–2361490. 8 indexed citations
5.
Chien, Ying‐Chun, Chun‐Kai Huang, Chung‐Yu Chen, et al.. (2024). The impact of nontuberculous mycobacterial lung disease in critically ill patients: Significance for survival and ventilator use. Journal of Microbiology Immunology and Infection. 57(2). 328–336. 2 indexed citations
6.
Liao, Kuang‐Ming, et al.. (2023). Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis. Diagnostics. 13(6). 1075–1075. 11 indexed citations
7.
Wei, Yu‐Feng, et al.. (2023). Influence of Rifamycin on Survival in Patients with Concomitant Lung Cancer and Pulmonary Tuberculosis. Biomedicines. 11(12). 3130–3130.
8.
Liao, Kuang‐Ming, Chin‐Chung Shu, Fu‐Wen Liang, et al.. (2023). Risk Factors for Pulmonary Tuberculosis in Patients with Lung Cancer: A Retrospective Cohort Study. Journal of Cancer. 14(4). 657–664. 4 indexed citations
9.
Wu, Ting‐Shu, Nan-Yu Chen, Chin‐Chung Shu, et al.. (2022). Impact on Macrolide Resistance of Genetic Diversity of Mycobacterium abscessus Species. Microbiology Spectrum. 10(6). e0274922–e0274922. 8 indexed citations
10.
Liao, Kuang‐Ming, et al.. (2021). Impact of Chronic Obstructive Pulmonary Disease on the Mortality of Patients with Small Cell Lung Cancer. SHILAP Revista de lepidopterología. 5 indexed citations
11.
Hsieh, Ming‐Ju, Nin‐Chieh Hsu, Yu‐Feng Lin, et al.. (2021). Developing and validating a model for predicting 7-day mortality of patients admitted from the emergency department: an initial alarm score by a prospective prediction model study. BMJ Open. 11(1). e040837–e040837. 3 indexed citations
12.
Lin, Shu‐Yung, Jia‐Yih Feng, Chih‐Yuan Lee, et al.. (2020). Completion and Adverse Drug Events of Latent Tuberculosis Infection Treatment in Patients Receiving Dialysis: Predictors and Impacts of Different Regimens in a Prospective Cohort Study. Antimicrobial Agents and Chemotherapy. 65(3). 1 indexed citations
13.
Wu, Ming‐Fang, Chin‐Chung Shu, Jann‐Yuan Wang, et al.. (2019). NLRP3 inflammasome is attenuated in patients with Mycobacterium avium complex lung disease and correlated with decreased interleukin-1β response and host susceptibility. Scientific Reports. 9(1). 13 indexed citations
14.
Huang, Hung‐Ling, Meng‐Hsuan Cheng, Po‐Liang Lu, et al.. (2019). Outcome of patients with and poor prognostic factors for Mycobacterium kansasii-pulmonary disease. Respiratory Medicine. 151. 19–26. 11 indexed citations
15.
Shu, Chin‐Chung, Sheng‐Wei Pan, Jia‐Yih Feng, et al.. (2019). The Clinical Significance of Programmed Death-1, Regulatory T Cells and Myeloid Derived Suppressor Cells in Patients with Nontuberculous Mycobacteria-Lung Disease. Journal of Clinical Medicine. 8(5). 736–736. 24 indexed citations
16.
Shu, Chin‐Chung, Kuang‐Ming Liao, Yi‐Chen Chen, Jhi‐Joung Wang, & Chung‐Han Ho. (2019). The burdens of tuberculosis on patients with malignancy: incidence, mortality and relapse. Scientific Reports. 9(1). 11901–11901. 40 indexed citations
17.
Shu, Chin‐Chung, Jann‐Yuan Wang, Ming‐Fang Wu, et al.. (2018). Interleukin 23/interleukin 17 axis activated by Mycobacterium avium complex (MAC) is attenuated in patients with MAC-lung disease. Tuberculosis. 110. 7–14. 14 indexed citations
18.
Huang, Hung‐Ling, Meng‐Hsuan Cheng, Po‐Liang Lu, et al.. (2017). Epidemiology and Predictors of NTM Pulmonary Infection in Taiwan - a Retrospective, Five-Year Multicenter Study. Scientific Reports. 7(1). 16300–16300. 64 indexed citations
19.
Shu, Chin‐Chung, Chia‐Lin Hsu, Yufeng Wei, et al.. (2016). Risk of Tuberculosis Among Patients on Dialysis. Medicine. 95(22). e3813–e3813. 16 indexed citations
20.
Hsu, Nin‐Chieh, Chin‐Chung Shu, Yu‐Feng Lin, et al.. (2012). Why do general medical patients have a lengthy wait in the emergency department before admission?. Journal of the Formosan Medical Association. 113(8). 557–561. 10 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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