Yu Gao
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 6
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 13
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 11
- RNA modifications and cancer 8
- Pluripotent Stem Cells Research 6
- Ubiquitin and proteasome pathways 5
- RNA Research and Splicing 5
- Otorhinolaryngology top 10%
- Co-authors
- Xinyu ZhaoPoul HyttelVanessa Jane HallZuo‐Feng ZhangStimson P. SchantzFeifei WangBrian E. EisingerYue Li
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Yu Gao
59 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 117
- Cancer Research 231
- Genetics 405
- Molecular Biology 986
- Otorhinolaryngology 38
Countries citing papers authored by Yu Gao
This map shows the geographic impact of Yu Gao'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 Yu Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gao more than expected).
Fields of papers citing papers by Yu Gao
This network shows the impact of papers produced by Yu Gao. 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 Yu Gao. The network helps show where Yu Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Gao, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 76 | |
| 12 | 2018 | 42 | |
| 13 | 2018 | 74 | |
| 14 | 2015 | 66 | |
| 15 | 2014 | 20 | |
| 16 | 2011 | 22 | |
| 17 | 2010 | 68 | |
| 18 | 2007 | 41 | |
| 19 | 2007 | 94 | |
| 20 | Identification of QTL for shank length at different developmental stages in chickens using a genome scan. | 2006 | 1 |
About Yu Gao
Yu Gao is a scholar working on Developmental Neuroscience, Genetics and Aging, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (13 papers), Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (8 papers), Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Developmental Neuroscience (117 citations), Cancer Research (231 citations) and Genetics (405 citations). Yu Gao has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xinyu Zhao, Poul Hyttel, Vanessa Jane Hall, Zuo‐Feng Zhang, Stimson P. Schantz, Feifei Wang, Brian E. Eisinger, Yue Li, Jian Tang and Jamie S. Ostroff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.