Yayun Gu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
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- RNA modifications and cancer 11
- Congenital heart defects research 6
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 4
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Zhibin Hu (30 shared papers)Juncheng Dai (17 shared papers)Hongbing Shen (15 shared papers)Guangfu Jin (14 shared papers)Cheng Wang (9 shared papers)Hongxia Ma (10 shared papers)Meng Zhu (7 shared papers)Caiwang Yan (9 shared papers)
- Journals
- Nature Communications (3 papers)Cancer Medicine (3 papers)Gene (2 papers)PLoS ONE (2 papers)Cell Discovery (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yayun Gu
42 papers receiving 712 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 218
- Molecular Biology 433
- Reproductive Medicine 32
- Physiology 77
- Immunology 48
Countries citing papers authored by Yayun Gu
This map shows the geographic impact of Yayun Gu'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 Yayun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yayun Gu more than expected).
Fields of papers citing papers by Yayun Gu
This network shows the impact of papers produced by Yayun Gu. 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 Yayun Gu. The network helps show where Yayun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yayun Gu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2022 | 52 | |
| 3 | 2015 | 51 | |
| 4 | 2016 | 49 | |
| 5 | 2015 | 47 | |
| 6 | 2017 | 42 | |
| 7 | 2022 | 38 | |
| 8 | 2017 | 34 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2019 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2022 | 11 |
About Yayun Gu
Yayun Gu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pulmonary and Respiratory Medicine and Physiology, having authored 48 papers that have together received 717 indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (8 papers), Congenital heart defects research (6 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers), Congenital Heart Disease Studies (4 papers), Telomeres, Telomerase, and Senescence (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (433 citations), Reproductive Medicine (32 citations), Physiology (77 citations) and Immunology (48 citations). Yayun Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhibin Hu, Juncheng Dai, Hongbing Shen, Guangfu Jin, Cheng Wang, Hongxia Ma, Meng Zhu, Caiwang Yan, Na Qin and Kaipeng Xie. Their work appears in journals such as Nature Communications, Cancer Medicine, Gene, PLoS ONE and Cell Discovery.
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.