Ya Guo
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
Papers in
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- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 5
- Wnt/β-catenin signaling in development and cancer 3
- RNA and protein synthesis mechanisms 1
- Epigenetics and DNA Methylation 1
- Pluripotent Stem Cells Research 1
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Qiang Wu (6 shared papers)Zhilian Jia (4 shared papers)Tom Maniatis (2 shared papers)Haiyang Wu (2 shared papers)Yonghu Wu (3 shared papers)Quan Xu (4 shared papers)Yuanxiao Tang (3 shared papers)Yanan Zhai (3 shared papers)
- Journals
- Nature Communications (3 papers)Arthritis & Rheumatology (2 papers)Molecular Cell (1 paper)Genome biology (1 paper)Cell (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ya Guo
15 papers receiving 1.2k citations
Ya Guo's Hit Papers
Peers
Comparison fields: 5 of 66
- Molecular Biology 1.1k
- Business and International Management 17
- Aging 14
- Plant Science 264
- Genetics 186
Countries citing papers authored by Ya Guo
This map shows the geographic impact of Ya Guo'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 Ya Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Guo more than expected).
Fields of papers citing papers by Ya Guo
This network shows the impact of papers produced by Ya Guo. 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 Ya Guo. The network helps show where Ya Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Guo, 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 | CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function Hit paper breakdown → | 2015 | 661 |
| 2 | 2012 | 197 | |
| 3 | 2015 | 102 | |
| 4 | 2020 | 59 | |
| 5 | 2022 | 43 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2014 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2016 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 1 |
About Ya Guo
Ya Guo is a scholar working on Molecular Biology, Plant Science, Cell Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (5 papers), Chromosomal and Genetic Variations (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Systemic Lupus Erythematosus Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Business and International Management (17 citations), Aging (14 citations), Plant Science (264 citations) and Genetics (186 citations). Ya Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiang Wu, Zhilian Jia, Tom Maniatis, Haiyang Wu, Yonghu Wu, Quan Xu, Yuanxiao Tang, Yanan Zhai, Jia Shou and Jinhuan Li. Their work appears in journals such as Nature Communications, Arthritis & Rheumatology, Molecular Cell, Genome biology and 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.