Ming‐Chung Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
-
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 7
- Molecular Biology Techniques and Applications 6
- RNA modifications and cancer 1
- Single-cell and spatial transcriptomics 1
- Co-authors
- Yingdong ZhaoRichard SimonAmy LamLisa M. McShaneLi ChenRichard H. SimonBoris FreidlinMichael D. Radmacher
- Journals
- Bioinformatics (3 papers)Scientific Reports (1 paper)BMC Genomics (1 paper)Journal of Translational Medicine (1 paper)Biomolecules (1 paper)
- Partner nations
- United StatesMalaysiaTaiwan
In The Last Decade
Ming‐Chung Li
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 483
- Molecular Biology 1.1k
- Oncology 274
- Immunology 167
- Pulmonary and Respiratory Medicine 202
Countries citing papers authored by Ming‐Chung Li
This map shows the geographic impact of Ming‐Chung Li'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‐Chung Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chung Li more than expected).
Fields of papers citing papers by Ming‐Chung Li
This network shows the impact of papers produced by Ming‐Chung Li. 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‐Chung Li. The network helps show where Ming‐Chung Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Chung Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2022 | 2 | |
| 3 | TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository Hit paper breakdown → | 2021 | 265 |
| 4 | 2021 | 1 | |
| 5 | 2019 | 7 | |
| 6 | 2016 | 1 | |
| 7 | 2013 | 8 | |
| 8 | 2009 | 33 | |
| 9 | 2007 | 28 | |
| 10 | MULTIVARIATE REDUCED-RANK NONLINEAR TIME SERIES MODELING | 2007 | 2 |
| 11 | Analysis of Gene Expression Data Using BRB-Array Tools Hit paper breakdown → | 2007 | 540 |
| 12 | Analysis of gene expression data using BRB-ArrayTools. Hit paper breakdown → | 2007 | 596 |
| 13 | 2006 | 60 | |
| 14 | 2005 | 24 | |
| 15 | 2005 | 38 | |
| 16 | 2002 | 160 |
About Ming‐Chung Li
Ming‐Chung Li is a scholar working on Cancer Research, Molecular Biology, Geology, Earth-Surface Processes and General Economics, Econometrics and Finance, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (7 papers), Molecular Biology Techniques and Applications (6 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related molecular mechanisms research (2 papers), RNA modifications and cancer (1 paper), Genomics and Rare Diseases (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (483 citations), Molecular Biology (1.1k citations), Oncology (274 citations), Immunology (167 citations) and Pulmonary and Respiratory Medicine (202 citations). Ming‐Chung Li has collaborated with scholars based in United States, Malaysia and Taiwan. Frequent co-authors include Yingdong Zhao, Richard Simon, Amy Lam, Lisa M. McShane, Li Chen, Richard H. Simon, Boris Freidlin, Michael D. Radmacher, Biswajit Das and Mariam M. Konaté. Their work appears in journals such as Bioinformatics, Scientific Reports, BMC Genomics, Journal of Translational Medicine and Biomolecules.
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.