Ge Yao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Plant biochemistry and biosynthesis
- Microbial Metabolic Engineering and Bioproduction
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
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- Plant biochemistry and biosynthesis 7
- RNA modifications and cancer 4
- Receptor Mechanisms and Signaling 3
- Protist diversity and phylogeny 3
- Microbial Metabolic Engineering and Bioproduction 3
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 3
- Co-authors
- Yunxiao Li (1 shared paper)Qi Zhang (1 shared paper)Yuan Zhou (1 shared paper)Hui Jiang (5 shared papers)Tianyu Song (6 shared papers)Fuli Wang (6 shared papers)Jiajia Liu (4 shared papers)Kang Wang (4 shared papers)
In The Last Decade
Ge Yao
29 papers receiving 399 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 126
- Molecular Biology 281
- Biotechnology 20
- Pharmacology 36
- Geriatrics and Gerontology 8
Countries citing papers authored by Ge Yao
This map shows the geographic impact of Ge 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 Ge Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yao more than expected).
Fields of papers citing papers by Ge Yao
This network shows the impact of papers produced by Ge 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 Ge Yao. The network helps show where Ge Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2018 | 29 | |
| 3 | 2022 | 26 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 8 |
About Ge Yao
Ge Yao is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Oncology and Biomedical Engineering, having authored 30 papers that have together received 408 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Receptor Mechanisms and Signaling (3 papers), Protist diversity and phylogeny (3 papers), MicroRNA in disease regulation (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (281 citations), Biotechnology (20 citations), Pharmacology (36 citations) and Geriatrics and Gerontology (8 citations). Ge Yao has collaborated with scholars based in China, Taiwan and Tunisia. Frequent co-authors include Yunxiao Li, Qi Zhang, Yuan Zhou, Hui Jiang, Tianyu Song, Fuli Wang, Jiajia Liu, Kang Wang, Zhen‐Shan Yang and Jisheng Chen. Their work appears in journals such as Marine Drugs, Toxicon, Cellular Reprogramming, Cellular and Molecular Immunology and Bioscience Reports.
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.