Charles Yu
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- Genomics and Phylogenetic Studies 9
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
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- Animal Genetics and Reproduction 3
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- Tuberculosis Research and Epidemiology 4
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- Bacteriophages and microbial interactions 3
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- Insect symbiosis and bacterial influences 3
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- Probiotics and Fermented Foods 2
- Co-authors
- S CelnikerMark StapletonReed GeorgeGerald M. RubinMark ChampePeter BroksteinSoo Hyung ParkPiero Carninci
- Cited by
- Molecular BiologyAgingGenetics
- Journals
- Genome Research (3 papers)Clinical Infectious Diseases (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyPhilippines
In The Last Decade
Charles Yu
18 papers receiving 808 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 664
- Aging 14
- Genetics 141
- Cellular and Molecular Neuroscience 87
- Plant Science 171
Countries citing papers authored by Charles Yu
This map shows the geographic impact of Charles 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 Charles Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Yu more than expected).
Fields of papers citing papers by Charles Yu
This network shows the impact of papers produced by Charles 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 Charles Yu. The network helps show where Charles Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 1 | |
| 8 | 2017 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2014 | 113 | |
| 14 | Initial de novo Assemblies of the D. melanogaster genome using long-read PacBio sequencing | 2014 | 4 |
| 15 | 2011 | 21 | |
| 16 | 2010 | 177 | |
| 17 | 2007 | 115 | |
| 18 | 2006 | 13 | |
| 19 | 2002 | 164 | |
| 20 | 2002 | 157 |
About Charles Yu
Charles Yu is a scholar working on Insect Science, Infectious Diseases, Molecular Biology, Biophysics and Ecology, having authored 20 papers that have together received 814 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Tuberculosis Research and Epidemiology (4 papers), CRISPR and Genetic Engineering (4 papers), Bacteriophages and microbial interactions (3 papers), Insect symbiosis and bacterial influences (3 papers), Animal Genetics and Reproduction (3 papers), RNA and protein synthesis mechanisms (3 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Molecular Biology (664 citations), Aging (14 citations), Genetics (141 citations), Cellular and Molecular Neuroscience (87 citations) and Plant Science (171 citations). Charles Yu has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include S Celniker, Mark Stapleton, Reed George, Gerald M. Rubin, Mark Champe, Peter Brokstein, Soo Hyung Park, Piero Carninci, Joseph W. Carlson and Jane M. Landolin. Their work appears in journals such as Genome Research, Clinical Infectious Diseases, Nature Communications, Communications Biology and Scientific Data.
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.