Chun-Nin Lee

468 total citations
12 papers, 330 citations indexed

About

Chun-Nin Lee is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Chun-Nin Lee has authored 12 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Infectious Diseases. Recurrent topics in Chun-Nin Lee's work include Air Quality and Health Impacts (3 papers), Occupational and environmental lung diseases (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Chun-Nin Lee is often cited by papers focused on Air Quality and Health Impacts (3 papers), Occupational and environmental lung diseases (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Chun-Nin Lee collaborates with scholars based in Taiwan, United Kingdom and United States. Chun-Nin Lee's co-authors include Tze‐Sian Chan, Tzu-Tao Chen, Chih-Cheng Chang, Hsiao‐Chi Chuang, Hung‐Wen Chiu, Mauo-Ying Bien, Hsiang‐Yin Chen, Chien-Ying Liu, Chien-Ling Su and Po‐Hao Feng and has published in prestigious journals such as CHEST Journal, International Journal of Environmental Research and Public Health and Environmental Science and Pollution Research.

In The Last Decade

Chun-Nin Lee

12 papers receiving 325 citations

Peers

Chun-Nin Lee
Chun-Nin Lee
Citations per year, relative to Chun-Nin Lee Chun-Nin Lee (= 1×) peers Ayumi Matsumoto

Countries citing papers authored by Chun-Nin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Nin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Nin Lee. 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 Chun-Nin Lee. The network helps show where Chun-Nin Lee may publish in the future.

Co-authorship network of co-authors of Chun-Nin Lee

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

All Works

12 of 12 papers shown
1.
Bai, Kuan-Jen, Ta-Chih Hsiao, Kian Fan Chung, et al.. (2021). Associations between lung-deposited dose of particulate matter and culture-positive pulmonary tuberculosis pleurisy. Environmental Science and Pollution Research. 29(4). 6140–6150. 5 indexed citations
2.
Lee, Chun-Nin, Li-Hsuan Chiu, Chia-Lang Fang, et al.. (2020). Synthesis, Characterization, and Application of Superparamagnetic Iron Oxide Nanoprobes for Extrapulmonary Tuberculosis Detection. Journal of Visualized Experiments. 1 indexed citations
3.
Bai, Kuan‐Jen, Shu‐Chuan Ho, Chun-Nin Lee, et al.. (2020). Exposure to PM2.5 is associated with malignant pleural effusion in lung cancer patients. Ecotoxicology and Environmental Safety. 208. 111618–111618. 8 indexed citations
4.
Lee, Chun-Nin, et al.. (2019). Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques. Computer Methods and Programs in Biomedicine. 188. 105307–105307. 24 indexed citations
5.
Bai, Kuan-Jen, Kai-Jen Chuang, Jen‐Kun Chen, et al.. (2019). Alterations by Air Pollution in Inflammation and Metals in Pleural Effusion of Pneumonia Patients. International Journal of Environmental Research and Public Health. 16(5). 705–705. 11 indexed citations
6.
Feng, Po‐Hao, Chih-Teng Yu, Kuan-Yuan Chen, et al.. (2018). S100A9+ MDSC and TAM-mediated EGFR-TKI resistance in lung adenocarcinoma: the role of RELB. Oncotarget. 9(7). 7631–7643. 33 indexed citations
7.
Chen, Tzu-Tao, et al.. (2016). Novel biomarker analysis of pleural effusion enhances differentiation of tuberculous from malignant pleural effusion. International Journal of General Medicine. 9. 183–183. 19 indexed citations
8.
Chuang, Hsiao‐Chi, Chien-Ling Su, H. Liu, et al.. (2015). Cigarette smoke is a risk factor for severity and treatment outcome in patients with culture-positive tuberculosis. Therapeutics and Clinical Risk Management. 11. 1539–1539. 20 indexed citations
9.
Chiu, Hung‐Wen, et al.. (2015). Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU. Respiratory Care. 60(11). 1560–1569. 49 indexed citations
10.
Lee, Chun-Nin, et al.. (2010). Targeting c-Myc as a novel approach for hepatocellular carcinoma. World Journal of Hepatology. 2(1). 16–16. 118 indexed citations
11.
Siu, L. Kristopher, Jung-Chung Lin, Chien-Ying Liu, et al.. (2010). Mannose-Binding Lectin Gene Polymorphism Contributes to Recurrence of Infective Exacerbation in Patients With COPD. CHEST Journal. 139(1). 43–51. 29 indexed citations
12.
Chen, Chi-Ming, et al.. (2005). Compatibility and osmolality of inhaledN-acetylcysteine nebulizing solution with fenoterol and ipratropium. American Journal of Health-System Pharmacy. 62(8). 828–833. 13 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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