Runan Yao
Impact in
- Aging top 5%
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
Papers in
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- Energy Efficient Wireless Sensor Networks 2
- Wireless Communication Networks Research 1
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- Energy Harvesting in Wireless Networks 2
- Advanced Wireless Network Optimization 2
- Green IT and Sustainability 1
- Co-authors
- Xijin Ge (5 shared papers)Dongmin Jung (1 shared paper)Eun Son (1 shared paper)Wei Wang (2 shared papers)Honggang Wang (1 shared paper)Yi Qian (1 shared paper)Robert A. Cushman (3 shared papers)George A. Perry (3 shared papers)
- Journals
- Data in Brief (1 paper)BMC Bioinformatics (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)IEEE Sensors Journal (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Runan Yao
10 papers receiving 4.0k citations
Runan Yao's Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 52
- Molecular Biology 1.8k
- Cancer Research 352
- Immunology 446
- Plant Science 655
Countries citing papers authored by Runan Yao
This map shows the geographic impact of Runan Yao'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 Runan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runan Yao more than expected).
Fields of papers citing papers by Runan Yao
This network shows the impact of papers produced by Runan Yao. 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 Runan Yao. The network helps show where Runan Yao may publish in the future.
Co-authors
The 20 scholars most cited alongside Runan Yao, 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 | ShinyGO: a graphical gene-set enrichment tool for animals and plants Hit paper breakdown → | 2019 | 2887 |
| 2 | iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data Hit paper breakdown → | 2018 | 1048 |
| 3 | 2013 | 31 | |
| 4 | 2021 | 12 | |
| 5 | 2003 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2012 | 6 | |
| 8 | 2006 | 2 | |
| 9 | 2014 | 1 | |
| 10 | 2022 | 1 |
About Runan Yao
Runan Yao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Agronomy and Crop Science, Genetics and Immunology, having authored 10 papers that have together received 4.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Energy Harvesting in Wireless Networks (2 papers), Reproductive System and Pregnancy (2 papers), Advanced Wireless Network Optimization (2 papers), Wireless Communication Networks Research (1 paper), Estrogen and related hormone effects (1 paper) and Green IT and Sustainability (1 paper). The work is most often cited by research in Aging (52 citations), Molecular Biology (1.8k citations), Cancer Research (352 citations), Immunology (446 citations) and Plant Science (655 citations). Runan Yao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xijin Ge, Dongmin Jung, Eun Son, Wei Wang, Honggang Wang, Yi Qian, Robert A. Cushman, George A. Perry, Jiayi Huang and Yong Bai. Their work appears in journals such as Data in Brief, BMC Bioinformatics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Sensors Journal and IEEE Transactions on Mobile Computing.
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.