Yao Ruan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Echinoderm biology and ecology
Papers in
-
- Circular RNAs in diseases 6
- Microbial Metabolic Engineering and Bioproduction 5
- Glycosylation and Glycoproteins Research 5
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- Aquaculture Nutrition and Growth 5
- Co-authors
- Zhe Li (8 shared papers)Yijing Shen (5 shared papers)Junming Guo (5 shared papers)Xiuchong Yu (3 shared papers)Tianwen Li (3 shared papers)Yaoyao Xie (3 shared papers)Bingxiu Xiao (2 shared papers)Haiyan Zhang (2 shared papers)
- Journals
- Gene (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Physiology (2 papers)PLoS ONE (2 papers)Journal of Clinical Laboratory Analysis (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Yao Ruan
37 papers receiving 851 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 454
- Aquatic Science 93
- Molecular Biology 646
- Physiology 22
- Biotechnology 31
Countries citing papers authored by Yao Ruan
This map shows the geographic impact of Yao Ruan'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 Yao Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Ruan more than expected).
Fields of papers citing papers by Yao Ruan
This network shows the impact of papers produced by Yao Ruan. 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 Yao Ruan. The network helps show where Yao Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Ruan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 189 | |
| 2 | 2019 | 143 | |
| 3 | 2019 | 64 | |
| 4 | 2021 | 54 | |
| 5 | 2020 | 54 | |
| 6 | 2020 | 46 | |
| 7 | 2021 | 46 | |
| 8 | 2014 | 27 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2020 | 9 |
About Yao Ruan
Yao Ruan is a scholar working on Molecular Biology, Aquatic Science, Cancer Research, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 856 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Aquaculture Nutrition and Growth (5 papers), MicroRNA in disease regulation (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Cancer Research (454 citations), Aquatic Science (93 citations), Molecular Biology (646 citations), Physiology (22 citations) and Biotechnology (31 citations). Yao Ruan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Zhe Li, Yijing Shen, Junming Guo, Xiuchong Yu, Tianwen Li, Yaoyao Xie, Bingxiu Xiao, Haiyan Zhang, Chunhua Ren and Ting Chen. Their work appears in journals such as Gene, International Journal of Molecular Sciences, Frontiers in Physiology, PLoS ONE and Journal of Clinical Laboratory Analysis.
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.