Jun Yao
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Biological Psychiatry top 5%
Papers in
-
- Molecular Biology Techniques and Applications 13
- Receptor Mechanisms and Signaling 9
- RNA Research and Splicing 8
- Genetics 41
- Forensic and Genetic Research 19
- Co-authors
- Garth F. Hall (7 shared papers)Baojie Wang (41 shared papers)Xin Cao (31 shared papers)Qinjun Wei (28 shared papers)Yajie Lu (24 shared papers)Gloria Lee (3 shared papers)Hong Xu (9 shared papers)Guangqian Xing (21 shared papers)
- Journals
- PLoS ONE (7 papers)Journal of Molecular Neuroscience (6 papers)Forensic Science International Genetics (4 papers)International Journal of Legal Medicine (4 papers)Journal of Translational Medicine (3 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Jun Yao
175 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 131
- Sensory Systems 173
- Biological Psychiatry 64
- Biotechnology 176
- Neurology 140
- Molecular Biology 1.2k
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun 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 Jun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun 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 Jun Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2015 | 83 | |
| 3 | 2020 | 77 | |
| 4 | 2017 | 71 | |
| 5 | 2010 | 68 | |
| 6 | 2011 | 63 | |
| 7 | 2014 | 62 | |
| 8 | 1997 | 62 | |
| 9 | 2000 | 61 | |
| 10 | 2014 | 52 | |
| 11 | 2011 | 49 | |
| 12 | 2008 | 45 | |
| 13 | 2001 | 42 | |
| 14 | 2010 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 2008 | 39 | |
| 17 | 2019 | 37 | |
| 18 | 2019 | 36 | |
| 19 | 2014 | 35 | |
| 20 | 1997 | 34 |
About Jun Yao
Jun Yao is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Sensory Systems and Cancer Research, having authored 186 papers that have together received 2.6k indexed citations. Recurring topics across this work include Forensic and Genetic Research (19 papers), Hearing, Cochlea, Tinnitus, Genetics (14 papers), Molecular Biology Techniques and Applications (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), MicroRNA in disease regulation (10 papers), Receptor Mechanisms and Signaling (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Sensory Systems (173 citations), Biological Psychiatry (64 citations), Biotechnology (176 citations), Neurology (140 citations) and Molecular Biology (1.2k citations). Jun Yao has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Garth F. Hall, Baojie Wang, Xin Cao, Qinjun Wei, Yajie Lu, Gloria Lee, Hong Xu, Guangqian Xing, Pingkai Ouyang and Xinming Qi. Their work appears in journals such as PLoS ONE, Journal of Molecular Neuroscience, Forensic Science International Genetics, International Journal of Legal Medicine and Journal of Translational Medicine.
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.