Hannah Yu
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Plant Science top 10%
- Plant Molecular Biology Research
- Light effects on plants
Papers in
-
- Molecular Biology Techniques and Applications 3
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Patrice A. Salomé (1 shared paper)C. Robertson McClung (1 shared paper)Todd P. Michael (1 shared paper)Taylor Spencer (1 shared paper)Mark A. McPeek (1 shared paper)Joseph R. Ecker (1 shared paper)José M. Alonso (1 shared paper)Jan L. Breslow (4 shared papers)
- Journals
- Journal of Lipid Research (4 papers)PLoS ONE (2 papers)Advanced Science (1 paper)DNA Research (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Hannah Yu
13 papers receiving 456 citations
Peers
Comparison fields: 5 of 58
- Endocrine and Autonomic Systems 72
- Plant Science 309
- Molecular Biology 242
- Aging 6
- Genetics 55
Countries citing papers authored by Hannah Yu
This map shows the geographic impact of Hannah 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 Hannah Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Yu more than expected).
Fields of papers citing papers by Hannah Yu
This network shows the impact of papers produced by Hannah 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 Hannah Yu. The network helps show where Hannah Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah 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 | 2003 | 364 | |
| 2 | 2024 | 29 | |
| 3 | 2004 | 20 | |
| 4 | 2003 | 14 | |
| 5 | 2011 | 9 | |
| 6 | 2020 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2006 | 4 | |
| 9 | 2006 | 4 | |
| 10 | 2015 | 4 | |
| 11 | 2012 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 0 | |
| 15 | 2025 | 0 |
About Hannah Yu
Hannah Yu is a scholar working on Molecular Biology, Oncology, Surgery, Ecology and Cancer Research, having authored 15 papers that have together received 463 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Lipid metabolism and biosynthesis (2 papers), Cholesterol and Lipid Metabolism (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (72 citations), Plant Science (309 citations), Molecular Biology (242 citations), Aging (6 citations) and Genetics (55 citations). Hannah Yu has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Patrice A. Salomé, C. Robertson McClung, Todd P. Michael, Taylor Spencer, Mark A. McPeek, Joseph R. Ecker, José M. Alonso, Jan L. Breslow, Ephraim Sehayek and Elizabeth M. Duncan. Their work appears in journals such as Journal of Lipid Research, PLoS ONE, Advanced Science, DNA Research and Nature Microbiology.
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.