Ming‐Chia Lee

744 total citations
44 papers, 478 citations indexed

About

Ming‐Chia Lee is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Ming‐Chia Lee has authored 44 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Epidemiology and 11 papers in Surgery. Recurrent topics in Ming‐Chia Lee's work include Tuberculosis Research and Epidemiology (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers) and Infectious Diseases and Tuberculosis (6 papers). Ming‐Chia Lee is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers) and Infectious Diseases and Tuberculosis (6 papers). Ming‐Chia Lee collaborates with scholars based in Taiwan, United States and Japan. Ming‐Chia Lee's co-authors include Chih‐Hsin Lee, Jann‐Yuan Wang, Kun‐Mao Chao, Li‐Na Lee, Chin‐Chung Shu, Shih‐Ming Chen, Hsien-Ho Lin, Cheng‐Maw Ho, Tzu‐Rong Peng and Chia‐Hao Chang and has published in prestigious journals such as PLoS ONE, CHEST Journal and Journal of Affective Disorders.

In The Last Decade

Ming‐Chia Lee

38 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Chia Lee Taiwan 11 202 199 124 118 43 44 478
Ha Nee Jang South Korea 11 72 0.4× 73 0.4× 60 0.5× 86 0.7× 67 1.6× 51 397
Gianni Testino Italy 13 273 1.4× 61 0.3× 108 0.9× 52 0.4× 56 1.3× 80 637
Limin Wu China 13 108 0.5× 107 0.5× 149 1.2× 24 0.2× 94 2.2× 48 562
Guyi Wang China 15 152 0.8× 399 2.0× 79 0.6× 81 0.7× 119 2.8× 32 732
Martin Clark United Kingdom 5 75 0.4× 104 0.5× 171 1.4× 430 3.6× 56 1.3× 8 617
Limin Feng China 13 137 0.7× 37 0.2× 109 0.9× 36 0.3× 85 2.0× 33 497
Jean‐Claude Levron France 13 89 0.4× 110 0.6× 227 1.8× 42 0.4× 22 0.5× 19 613
Xiaohui Liu China 14 67 0.3× 53 0.3× 184 1.5× 47 0.4× 35 0.8× 58 566
Ahmad Hormati Iran 11 57 0.3× 79 0.4× 106 0.9× 68 0.6× 35 0.8× 83 355
Katrin Ludewig Germany 10 137 0.7× 39 0.2× 91 0.7× 65 0.6× 94 2.2× 12 418

Countries citing papers authored by Ming‐Chia Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chia Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chia 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 Ming‐Chia Lee. The network helps show where Ming‐Chia Lee may publish in the future.

Co-authorship network of co-authors of Ming‐Chia Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chia Lee. A scholar is included among the top collaborators of Ming‐Chia 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 Ming‐Chia Lee. Ming‐Chia Lee 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.
Đông, Nguyễn Văn, Ming‐Chia Lee, Jinhua Chen, et al.. (2025). Two-drug versus three-drug regimens for treating Mycobacterium avium complex infection: A systematic review and meta-analysis. Journal of Infection and Public Health. 18(5). 102711–102711. 2 indexed citations
2.
3.
Tsai, Pei‐Yun, Shih‐Ming Chen, Chia‐Yu Lin, et al.. (2025). Possible association of statin use with the risk of depression: An up-to-date systematic review and meta-analysis. General Hospital Psychiatry. 97. 118–125.
4.
Peng, Tzu‐Rong, et al.. (2024). Statins as an adjuvant therapy for patients with schizophrenia: An up-to-date systematic review and meta-analysis. General Hospital Psychiatry. 89. 75–83. 5 indexed citations
6.
Lee, Ming‐Chia, et al.. (2022). Isoniazid level and flu‐like symptoms during rifapentine‐based tuberculosis preventive therapy: A population pharmacokinetic analysis. British Journal of Clinical Pharmacology. 89(2). 714–726. 6 indexed citations
7.
Peng, Tzu‐Rong, Jinhua Chen, Ya-Hui Chang, et al.. (2022). Advantages of short-course rifamycin-based regimens for latent tuberculosis infection: an updated network meta-analysis. Journal of Global Antimicrobial Resistance. 29. 378–385. 1 indexed citations
8.
Ho, Cheng‐Maw, Chih‐Hsin Lee, Ming‐Chia Lee, et al.. (2021). Survival After Treatable Hepatocellular Carcinoma Recurrence in Liver Recipients: A Nationwide Cohort Analysis. Frontiers in Oncology. 10. 616094–616094. 19 indexed citations
9.
Lee, Ming‐Chia, Tzu‐Rong Peng, Chih‐Hsin Lee, et al.. (2021). Effects of various statins on depressive symptoms: A network meta-analysis. Journal of Affective Disorders. 293. 205–213. 10 indexed citations
10.
Lee, Ming‐Chia, Chih‐Hsin Lee, Meng‐Rui Lee, Jann‐Yuan Wang, & Shih‐Ming Chen. (2019). Impact of metformin use among tuberculosis close contacts with diabetes mellitus in a nationwide cohort study. BMC Infectious Diseases. 19(1). 936–936. 9 indexed citations
11.
Lee, Meng‐Rui, Ming‐Chia Lee, Chia‐Hao Chang, et al.. (2019). Use of Antiplatelet Agents and Survival of Tuberculosis Patients: A Population-Based Cohort Study. Journal of Clinical Medicine. 8(7). 923–923. 14 indexed citations
12.
Lee, Ming‐Chia, Chih‐Hsin Lee, Lih‐Yu Chang, et al.. (2019). Association of Metformin Use With End‐Stage Renal Disease in Patients With Type 2 Diabetes Mellitus: A Nationwide Cohort Study Under the Pay‐for‐Performance Program. The Journal of Clinical Pharmacology. 59(11). 1443–1452. 9 indexed citations
13.
Lee, Ming‐Chia, Chen‐Yuan Chiang, Chih‐Hsin Lee, et al.. (2018). Metformin use is associated with a low risk of tuberculosis among newly diagnosed diabetes mellitus patients with normal renal function: A nationwide cohort study with validated diagnostic criteria. PLoS ONE. 13(10). e0205807–e0205807. 33 indexed citations
14.
Chang, Lih‐Yu, Chih‐Hsin Lee, Ming‐Chia Lee, et al.. (2018). Acute biliary events during anti-tuberculosis treatment: hospital case series and a nationwide cohort study. BMC Infectious Diseases. 18(1). 64–64. 5 indexed citations
16.
Lee, Ming‐Chia, et al.. (2015). Inhaled Corticosteroids Increase the Risk of Pneumonia in Patients With Chronic Obstructive Pulmonary Disease. Medicine. 94(42). e1723–e1723. 18 indexed citations
17.
Lee, Chih‐Hsin, Ming‐Chia Lee, Hsien-Ho Lin, et al.. (2012). Pulmonary Tuberculosis and Delay in Anti-Tuberculous Treatment Are Important Risk Factors for Chronic Obstructive Pulmonary Disease. PLoS ONE. 7(5). e37978–e37978. 86 indexed citations
18.
Lee, Ming‐Chia, et al.. (2012). Interaction between valproic acid and carbapenems: Case series and literature review. Tzu Chi Medical Journal. 24(2). 80–84. 6 indexed citations
19.
Lee, Ming‐Chia, et al.. (2010). Caspofungin-Induced Severe Toxic Epidermal Necrolysis. Annals of Pharmacotherapy. 44(6). 1116–1118. 2 indexed citations
20.
Lee, Ming‐Chia, et al.. (2010). Listeria monocytogenes meningitis in a young woman with systemic lupus erythematosus. Rheumatology International. 31(4). 555–557. 7 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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