Ming‐Chia Lee

744 citations
44 papers · 478 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 10
    • Pneumocystis jirovecii pneumonia detection and treatment 7
    • Pneumonia and Respiratory Infections 4

Ming‐Chia Lee

38 papers receiving 466 citations

Peers

Ming‐Chia Lee
Comparison fields: 5 of 81
  • Biological Psychiatry 27
  • Infectious Diseases 199
  • Epidemiology 202
  • Behavioral Neuroscience 17
  • Hepatology 37
Replace Limin Feng with:
Limin Feng China
Xiaohui Liu China
Kimberly Wong United States
Guyi Wang China
Jesús Quintero Spain
Venkataraghavan Ramamoorthy United States
Andrew Canakis United States
Ha Nee Jang South Korea
Guido Stirnimann Switzerland
Alessandra Brocca Italy
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Citations per year

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-authors

The 25 scholars most cited alongside Ming‐Chia Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐Chia Lee Line = papers co-authored together Ming‐Chia Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201368
3 201452
4 201833
5 201828
6 202119
7 202019
8 201518
9 202018
10 201914
11 202110
12 20199
13 20199
14 20158
15 20178
16 20107
17 20226
18 20126
19 20136
20 20246

About Ming‐Chia Lee

Ming‐Chia Lee is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Pharmacology, having authored 44 papers that have together received 478 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Infectious Diseases and Tuberculosis (6 papers), Tryptophan and brain disorders (4 papers), Diabetes Treatment and Management (4 papers), Pneumonia and Respiratory Infections (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Infectious Diseases (199 citations), Epidemiology (202 citations), Behavioral Neuroscience (17 citations) and Hepatology (37 citations). Ming‐Chia Lee has collaborated with scholars based in Taiwan, United States and France. Frequent 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. Their work appears in journals such as BMC Infectious Diseases, General Hospital Psychiatry, Journal of Affective Disorders, PLoS ONE and Frontiers in Oncology.

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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