Mingyao Li
- Genetics top 0.2%
- Genetic Associations and Epidemiology 44
- Genetic Mapping and Diversity in Plants and Animals 14
- Genomic variations and chromosomal abnormalities 12
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 19
- Ophthalmology top 0.5%
- Molecular Biology top 0.5%
- RNA modifications and cancer 24
- Single-cell and spatial transcriptomics 23
- RNA Research and Splicing 21
- Gene expression and cancer classification 14
- Biophysics top 0.5%
- Co-authors
- Kai WangHåkon HåkonarsonMaja BućanJoseph GlessnerStruan F.A. GrantNancy R. ZhangKatalin SusztákRui Liu
- Cited by
- GeneticsCancer ResearchOphthalmology
- Journals
- Bioinformatics (9 papers)Genetic Epidemiology (7 papers)The American Journal of Human Genetics (6 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Mingyao Li
169 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Genetics 3.8k
- Cancer Research 1.6k
- Ophthalmology 899
- Molecular Biology 6.4k
- Biophysics 366
Countries citing papers authored by Mingyao Li
This map shows the geographic impact of Mingyao 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 Mingyao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyao Li more than expected).
Fields of papers citing papers by Mingyao Li
This network shows the impact of papers produced by Mingyao 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 Mingyao Li. The network helps show where Mingyao Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingyao 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 | 2025 | 1 | |
| 2 | 2024 | 35 | |
| 3 | 2024 | 6 | |
| 4 | Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histologybreakdown → | 2024 | 73 |
| 5 | 2024 | 9 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 46 | |
| 10 | 2020 | 107 | |
| 11 | 2019 | 72 | |
| 12 | Bulk tissue cell type deconvolution with multi-subject single-cell expression referencebreakdown → | 2019 | 472 |
| 13 | 2019 | 27 | |
| 14 | 2019 | 34 | |
| 15 | 2018 | 63 | |
| 16 | 2018 | 8 | |
| 17 | 2013 | 1 | |
| 18 | 2011 | 342 | |
| 19 | 2010 | 46 | |
| 20 | The source identification and apportionment of aerosol particles in the atmosphere by scanning nuclear microprobes | 2004 | 1 |
About Mingyao Li
Mingyao Li is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 172 papers that have together received 11.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (44 papers), RNA modifications and cancer (24 papers), Single-cell and spatial transcriptomics (23 papers), RNA Research and Splicing (21 papers), Cancer-related molecular mechanisms research (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Gene expression and cancer classification (14 papers) and Genomic variations and chromosomal abnormalities (12 papers). The work is most often cited by research in Genetics (3.8k citations), Cancer Research (1.6k citations) and Ophthalmology (899 citations). Mingyao Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kai Wang, Håkon Håkonarson, Maja Bućan, Joseph Glessner, Struan F.A. Grant, Nancy R. Zhang, Katalin Suszták, Rui Liu, Dexter Hadley and Muredach P. Reilly. Their work appears in journals such as Bioinformatics, Genetic Epidemiology, The American Journal of Human Genetics, Human Molecular Genetics and Nature Communications.
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.