Ming Yi
Impact in
- Cancer Research top 0.1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
Papers in
-
- MicroRNA in disease regulation 19
- Cancer-related molecular mechanisms research 19
-
- Circular RNAs in diseases 13
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- Gene expression and cancer classification 6
- Genomics and Chromatin Dynamics 6
- CRISPR and Genetic Engineering 5
- Co-authors
- Robert M. StephensCarlo M. CroceGeorge A. CalinChang‐Gong LiuMasahiro SeikeKensuke KumamotoAikou OkamotoTadao Tanaka
- Journals
- Cancer Research (8 papers)PLoS ONE (6 papers)Nucleic Acids Research (5 papers)Genome biology (4 papers)Oncogene (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ming Yi
74 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 4.9k
- Molecular Biology 6.2k
- Oncology 1.1k
- Immunology 560
- Pulmonary and Respiratory Medicine 767
Countries citing papers authored by Ming Yi
This map shows the geographic impact of Ming Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yi more than expected).
Fields of papers citing papers by Ming Yi
This network shows the impact of papers produced by Ming Yi. 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 Yi. The network helps show where Ming Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Yi, 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 | 2025 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 0 | |
| 4 | 2020 | 193 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 138 | |
| 7 | 2018 | 38 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 118 | |
| 10 | 2012 | 98 | |
| 11 | 2011 | 245 | |
| 12 | 2010 | 129 | |
| 13 | 2009 | 15 | |
| 14 | 2009 | 173 | |
| 15 | Genomic Profiling of MicroRNA and Messenger RNA Reveals Deregulated MicroRNA Expression in Prostate Cancer Hit paper breakdown → | 2008 | 591 |
| 16 | 2008 | 386 | |
| 17 | 2008 | 289 | |
| 18 | 2008 | 59 | |
| 19 | 2008 | 17 | |
| 20 | 2006 | 54 |
About Ming Yi
Ming Yi is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Development, having authored 77 papers that have together received 8.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (13 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Cancer Research (4.9k citations), Molecular Biology (6.2k citations), Oncology (1.1k citations), Immunology (560 citations) and Pulmonary and Respiratory Medicine (767 citations). Ming Yi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert M. Stephens, Carlo M. Croce, George A. Calin, Chang‐Gong Liu, Masahiro Seike, Kensuke Kumamoto, Aikou Okamoto, Tadao Tanaka, Curtis C. Harris and Jun Yokota. Their work appears in journals such as Cancer Research, PLoS ONE, Nucleic Acids Research, Genome biology and Oncogene.
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.