Ge Yao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Plant biochemistry and biosynthesis
- RNA modifications and cancer
- Microbial Metabolic Engineering and Bioproduction
- RNA Research and Splicing
- Nicotinic Acetylcholine Receptors Study
Papers in
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- Plant biochemistry and biosynthesis 9
- Receptor Mechanisms and Signaling 3
- Nicotinic Acetylcholine Receptors Study 3
- Protist diversity and phylogeny 3
- Microbial Metabolic Engineering and Bioproduction 3
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Yuan Zhou (1 shared paper)Qi Zhang (1 shared paper)Yunxiao Li (1 shared paper)Fuli Wang (7 shared papers)Hui Jiang (5 shared papers)Tianyu Song (7 shared papers)Jiajia Liu (4 shared papers)Kang Wang (4 shared papers)
In The Last Decade
Ge Yao
29 papers receiving 427 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 105
- Molecular Biology 262
- Geriatrics and Gerontology 8
- Pharmacology 40
- Biotechnology 20
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2018 | 30 | |
| 3 | 2022 | 28 | |
| 4 | 2023 | 25 | |
| 5 | 2020 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 8 |
About Ge Yao
Ge Yao is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 436 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (9 papers), Receptor Mechanisms and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Protist diversity and phylogeny (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), RNA modifications and cancer (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (105 citations), Molecular Biology (262 citations), Geriatrics and Gerontology (8 citations), Pharmacology (40 citations) and Biotechnology (20 citations). Ge Yao has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Yuan Zhou, Qi Zhang, Yunxiao Li, Fuli Wang, Hui Jiang, Tianyu Song, Jiajia Liu, Kang Wang, Weilin Wang and Yuan Ding. Their work appears in journals such as Marine Drugs, Fermentation, Toxicon, Advanced Science and Neuroscience.
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.