Yan Zhou
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 10%
Papers in
-
- RNA Research and Splicing 11
- Epigenetics and DNA Methylation 11
- Circular RNAs in diseases 9
- Genetics 34
- Genetic and phenotypic traits in livestock 12
- Genetics and Neurodevelopmental Disorders 6
- Co-authors
- Ying Liu (17 shared papers)Jiang Gu (2 shared papers)Sigal Gery (2 shared papers)H. Phillip Koeffler (2 shared papers)Dong Yin (1 shared paper)Qi Cao (1 shared paper)Hongliang Li (5 shared papers)Shiqing Liu (3 shared papers)
- Journals
- Nature Communications (5 papers)BMC Genomics (4 papers)Poultry Science (3 papers)Frontiers in Immunology (3 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Zhou
119 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 425
- Aging 38
- Endocrine and Autonomic Systems 142
- Molecular Biology 1.3k
- Developmental Neuroscience 77
Countries citing papers authored by Yan Zhou
This map shows the geographic impact of Yan Zhou'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 Yan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Zhou more than expected).
Fields of papers citing papers by Yan Zhou
This network shows the impact of papers produced by Yan Zhou. 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 Yan Zhou. The network helps show where Yan Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Zhou, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 156 | |
| 2 | 2015 | 100 | |
| 3 | 2013 | 100 | |
| 4 | 2007 | 92 | |
| 5 | 2018 | 90 | |
| 6 | 2020 | 72 | |
| 7 | 2014 | 66 | |
| 8 | 2014 | 55 | |
| 9 | 2019 | 53 | |
| 10 | 2021 | 52 | |
| 11 | 2019 | 45 | |
| 12 | 2021 | 41 | |
| 13 | Genome-wide identification of chromosomal regions of increased tumor expression by transcriptome analysis. | 2003 | 41 |
| 14 | 2002 | 37 | |
| 15 | 2013 | 37 | |
| 16 | 2018 | 36 | |
| 17 | 2005 | 36 | |
| 18 | 2018 | 34 | |
| 19 | 2005 | 34 | |
| 20 | 2014 | 33 |
About Yan Zhou
Yan Zhou is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Animal Science and Zoology, having authored 130 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Genetic and phenotypic traits in livestock (12 papers), RNA Research and Splicing (11 papers), Epigenetics and DNA Methylation (11 papers), Animal Nutrition and Physiology (11 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (7 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Cancer Research (425 citations), Aging (38 citations), Endocrine and Autonomic Systems (142 citations), Molecular Biology (1.3k citations) and Developmental Neuroscience (77 citations). Yan Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ying Liu, Jiang Gu, Sigal Gery, H. Phillip Koeffler, Dong Yin, Qi Cao, Hongliang Li, Shiqing Liu, Haiyan Tang and Zhonghui Chen. Their work appears in journals such as Nature Communications, BMC Genomics, Poultry Science, Frontiers in Immunology and Cell 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.