Mei-Ling Kuo
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
Papers in
- Oncology 9
- Cancer-related Molecular Pathways 7
- Peptidase Inhibition and Analysis 2
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- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 5
- Epigenetics and DNA Methylation 3
- Co-authors
- Charles J. Sherr (8 shared papers)Martine F. Roussel (6 shared papers)Masataka Sugimoto (1 shared paper)Willem den Besten (5 shared papers)Enrico L. DiGiammarino (1 shared paper)Jason D. Weber (1 shared paper)Richard W. Kriwacki (1 shared paper)Brian Bothner (1 shared paper)
- Journals
- Cell Cycle (4 papers)Computational Statistics & Data Analysis (1 paper)Cell chemical biology (1 paper)Molecular and Cellular Biology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Mei-Ling Kuo
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Oncology 485
- Molecular Biology 809
- Cancer Research 128
- Hematology 84
- Biotechnology 57
Countries citing papers authored by Mei-Ling Kuo
This map shows the geographic impact of Mei-Ling Kuo'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 Mei-Ling Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Kuo more than expected).
Fields of papers citing papers by Mei-Ling Kuo
This network shows the impact of papers produced by Mei-Ling Kuo. 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 Mei-Ling Kuo. The network helps show where Mei-Ling Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei-Ling Kuo, 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 | 2000 | 239 | |
| 2 | 2003 | 234 | |
| 3 | 2005 | 90 | |
| 4 | Arf induces p53-dependent and -independent antiproliferative genes. | 2003 | 87 |
| 5 | The RING domain of Mdm2 can inhibit cell proliferation. | 2002 | 75 |
| 6 | 2008 | 60 | |
| 7 | 2011 | 51 | |
| 8 | 2011 | 44 | |
| 9 | 2004 | 39 | |
| 10 | 2012 | 35 | |
| 11 | 2008 | 18 | |
| 12 | 2024 | 18 | |
| 13 | 2004 | 15 | |
| 14 | 2006 | 9 | |
| 15 | 2009 | 6 | |
| 16 | 2014 | 2 |
About Mei-Ling Kuo
Mei-Ling Kuo is a scholar working on Oncology, Molecular Biology, Statistics and Probability, Finance and Analytical Chemistry, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (5 papers), Epigenetics and DNA Methylation (3 papers), Peptidase Inhibition and Analysis (2 papers), Complex Systems and Time Series Analysis (1 paper), Advanced Statistical Methods and Models (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Oncology (485 citations), Molecular Biology (809 citations), Cancer Research (128 citations), Hematology (84 citations) and Biotechnology (57 citations). Mei-Ling Kuo has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Charles J. Sherr, Martine F. Roussel, Masataka Sugimoto, Willem den Besten, Enrico L. DiGiammarino, Jason D. Weber, Richard W. Kriwacki, Brian Bothner, Richard Thomas Williams and Deqing Pei. Their work appears in journals such as Cell Cycle, Computational Statistics & Data Analysis, Cell chemical biology, Molecular and Cellular Biology and Cancer Research.
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.