Wan Rou Yang
Impact in
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- Chromosomal and Genetic Variations
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- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Genomics and Chromatin Dynamics 1
- RNA Research and Splicing 1
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- Chromosomal and Genetic Variations 4
- Co-authors
- Kathleen H. Burns (6 shared papers)Daniel Ardeljan (3 shared papers)Lindsay M. Payer (2 shared papers)Jared P. Steranka (3 shared papers)Jef D. Boeke (3 shared papers)Dimitri Avramopoulos (1 shared paper)Chunhong Liu (1 shared paper)David Fenyö (2 shared papers)
- Journals
- Mobile DNA (3 papers)Epigenetics & Chromatin (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Wan Rou Yang
6 papers receiving 259 citations
Peers
Comparison fields: 5 of 50
- Plant Science 155
- Molecular Biology 206
- Genetics 53
- Cancer Research 27
- Immunology 23
Countries citing papers authored by Wan Rou Yang
This map shows the geographic impact of Wan Rou Yang'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 Wan Rou Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Rou Yang more than expected).
Fields of papers citing papers by Wan Rou Yang
This network shows the impact of papers produced by Wan Rou Yang. 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 Wan Rou Yang. The network helps show where Wan Rou Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan Rou Yang, 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 | 2019 | 114 | |
| 2 | 2017 | 86 | |
| 3 | 2019 | 39 | |
| 4 | 2016 | 19 | |
| 5 | 2016 | 3 | |
| 6 | 2023 | 1 |
About Wan Rou Yang
Wan Rou Yang is a scholar working on Molecular Biology, Plant Science, Genetics, Genetics and Cancer Research, having authored 6 papers that have together received 262 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Genomics and Chromatin Dynamics (1 paper), RNA Research and Splicing (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Plant Science (155 citations), Molecular Biology (206 citations), Genetics (53 citations), Cancer Research (27 citations) and Immunology (23 citations). Wan Rou Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Kathleen H. Burns, Daniel Ardeljan, Lindsay M. Payer, Jared P. Steranka, Jef D. Boeke, Dimitri Avramopoulos, Chunhong Liu, David Fenyö, Hua Jiang and Ilya Altukhov. Their work appears in journals such as Mobile DNA, Epigenetics & Chromatin, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.