Michael Yu
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Bioinformatics and Genomic Networks 10
- Gut microbiota and health 5
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 3
- Gene Regulatory Network Analysis 3
- Microbial Metabolic Engineering and Bioproduction 3
- Gene expression and cancer classification 2
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- Probiotics and Fermented Foods 3
- Co-authors
- Trey Ideker (13 shared papers)Jason F. Kreisberg (6 shared papers)Jianzhu Ma (4 shared papers)Roded Sharan (2 shared papers)Barry Demchak (4 shared papers)Keiichiro Ono (4 shared papers)Samson Fong (2 shared papers)Wei Zhang (2 shared papers)
- Journals
- Cell (3 papers)Cell Systems (3 papers)Genome biology (2 papers)eLife (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael Yu
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Aging 62
- Molecular Biology 951
- Cancer Research 123
- Biophysics 50
- Microbiology 52
Countries citing papers authored by Michael Yu
This map shows the geographic impact of Michael Yu'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 Michael Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yu more than expected).
Fields of papers citing papers by Michael Yu
This network shows the impact of papers produced by Michael Yu. 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 Michael Yu. The network helps show where Michael Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Yu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 273 | |
| 2 | 2017 | 208 | |
| 3 | 2018 | 182 | |
| 4 | 2018 | 102 | |
| 5 | 2018 | 88 | |
| 6 | 1999 | 88 | |
| 7 | 2015 | 65 | |
| 8 | 2019 | 60 | |
| 9 | 2014 | 57 | |
| 10 | 2023 | 54 | |
| 11 | 2016 | 53 | |
| 12 | 2024 | 34 | |
| 13 | 2013 | 31 | |
| 14 | 2024 | 30 | |
| 15 | 2017 | 22 | |
| 16 | 2019 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2025 | 4 |
About Michael Yu
Michael Yu is a scholar working on Molecular Biology, Food Science, Infectious Diseases, Artificial Intelligence and Physiology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gut microbiota and health (5 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Probiotics and Fermented Foods (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Aging (62 citations), Molecular Biology (951 citations), Cancer Research (123 citations), Biophysics (50 citations) and Microbiology (52 citations). Michael Yu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Trey Ideker, Jason F. Kreisberg, Jianzhu Ma, Roded Sharan, Barry Demchak, Keiichiro Ono, Samson Fong, Wei Zhang, Justin K. Huang and Pablo Tamayo. Their work appears in journals such as Cell, Cell Systems, Genome biology, eLife and Molecular Cell.
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.