Yong Mao
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology
- Automotive Engineering top 5%
- Immunology
- Co-authors
- Kamel MekhnachaChristian LaugierMichael LewisIllah NourbakhshMary KoesKatia SycaraDong HuaAmaury Nègre
- Topics
- RNA modifications and cancer (9 papers)MicroRNA in disease regulation (8 papers)Epigenetics and DNA Methylation (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yong Mao
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 695
- Cancer Research 492
- Oncology 221
- Automotive Engineering 197
- Immunology 192
Countries citing papers authored by Yong Mao
This map shows the geographic impact of Yong Mao'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 Yong Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Mao more than expected).
Fields of papers citing papers by Yong Mao
This network shows the impact of papers produced by Yong Mao. 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 Yong Mao. The network helps show where Yong Mao may publish in the future.
Co-authorship network of co-authors of Yong Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Mao. A scholar is included among the top collaborators of Yong Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong Mao. Yong Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 3 | |
| 11 | 86 | |
| 12 | 26 | |
| 13 | 169 | |
| 14 | 135 | |
| 15 | 3 | |
| 16 | Genetic Structure and Population Differentiation in Four Wild Populations of Marsupenaeus japonicus Based on Cytochrome b Gene Segment Sequence of Mitochondrial DNA | 1 |
| 17 | Bayesian Occupancy Filter based "Fast Clustering-Tracking" algorithm | 16 |
| 18 | Survey on polychaete verminosis in farmed pearl oyster (Pteria penguin) in Liusha Bay,Leizhou,Guangdong | 3 |
| 19 | The pecuIiarities of zymogram and their genetic analysis in Pteria penguin | 0 |
| 20 | RAPD analysis on genetic diversity of Pinctada martensii Dunker | 4 |
About Yong Mao
Yong Mao is a scholar working on Cancer Research, Aging and Aquatic Science, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), MicroRNA in disease regulation (8 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (492 citations), Automotive Engineering (197 citations) and Molecular Biology (695 citations). Yong Mao has collaborated with scholars based in China, United States and France. Frequent co-authors include Kamel Mekhnacha, Christian Laugier, Michael Lewis, Illah Nourbakhsh, Mary Koes, Katia Sycara, Dong Hua, Amaury Nègre, I.E. Paromtchik and Christopher Tay. Their work appears in journals such as Genes & Development, PLoS ONE and Biochemistry.
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.