Ming-Ching Lee
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
Papers in
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- Molecular Sensors and Ion Detection 8
- Co-authors
- Chi‐Jung Chang (11 shared papers)Huei Lee (5 shared papers)Shih‐Rong Hsieh (8 shared papers)Arul Pundi (6 shared papers)Jem-Kun Chen (7 shared papers)Prasad S. Adusumilli (6 shared papers)Daniel Buitrago (6 shared papers)David R. Jones (6 shared papers)
- Journals
- Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)Flow Measurement and Instrumentation (2 papers)Clinical Cancer Research (2 papers)Oncotarget (2 papers)Lung Cancer (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming-Ching Lee
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Pulmonary and Respiratory Medicine 333
- Spectroscopy 186
- Cancer Research 117
- Bioengineering 44
- Oncology 176
Countries citing papers authored by Ming-Ching Lee
This map shows the geographic impact of Ming-Ching 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-Ching 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-Ching Lee more than expected).
Fields of papers citing papers by Ming-Ching Lee
This network shows the impact of papers produced by Ming-Ching 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-Ching Lee. The network helps show where Ming-Ching Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Ching Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 176 | |
| 2 | 2016 | 148 | |
| 3 | 2015 | 117 | |
| 4 | 2020 | 90 | |
| 5 | 2010 | 67 | |
| 6 | 2011 | 55 | |
| 7 | 2012 | 44 | |
| 8 | 2009 | 44 | |
| 9 | 2019 | 43 | |
| 10 | 2017 | 36 | |
| 11 | 2020 | 34 | |
| 12 | 2019 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2016 | 24 | |
| 15 | 2002 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2015 | 14 | |
| 20 | 2010 | 14 |
About Ming-Ching Lee
Ming-Ching Lee is a scholar working on Molecular Biology, Spectroscopy, Pulmonary and Respiratory Medicine, Bioengineering and Surgery, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (8 papers), Lung Cancer Diagnosis and Treatment (5 papers), Analytical Chemistry and Sensors (5 papers), Lung Cancer Treatments and Mutations (4 papers), Sulfur Compounds in Biology (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Luminescence and Fluorescent Materials (3 papers) and Hydraulic flow and structures (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (333 citations), Spectroscopy (186 citations), Cancer Research (117 citations), Bioengineering (44 citations) and Oncology (176 citations). Ming-Ching Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chi‐Jung Chang, Huei Lee, Shih‐Rong Hsieh, Arul Pundi, Jem-Kun Chen, Prasad S. Adusumilli, Daniel Buitrago, David R. Jones, Chih‐Yi Chen and James Huang. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Flow Measurement and Instrumentation, Clinical Cancer Research, Oncotarget and Lung Cancer.
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.