Jun‐Shu Ai
Impact in
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- Reproductive Biology and Fertility
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Ovarian function and disorders
Papers in
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- Reproductive Biology and Fertility 11
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- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 2
- DNA Repair Mechanisms 1
- Kruppel-like factors research 1
- Co-authors
- Qing‐Yuan Sun (12 shared papers)Da‐Yuan Chen (12 shared papers)Shen Yin (10 shared papers)Yi Hou (7 shared papers)Cheng‐Guang Liang (3 shared papers)Bo Xiong (5 shared papers)Ying‐Chun Ouyang (4 shared papers)Qiang Wang (4 shared papers)
- Journals
- Cell Cycle (5 papers)Biology of Reproduction (2 papers)PLoS ONE (1 paper)Journal of Reproduction and Development (1 paper)Asian-Australasian Journal of Animal Sciences (1 paper)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Jun‐Shu Ai
13 papers receiving 359 citations
Peers
Comparison fields: 5 of 41
- Public Health, Environmental and Occupational Health 242
- Reproductive Medicine 69
- Aging 14
- Cell Biology 122
- Molecular Biology 224
Countries citing papers authored by Jun‐Shu Ai
This map shows the geographic impact of Jun‐Shu Ai'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 Jun‐Shu Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Shu Ai more than expected).
Fields of papers citing papers by Jun‐Shu Ai
This network shows the impact of papers produced by Jun‐Shu Ai. 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 Jun‐Shu Ai. The network helps show where Jun‐Shu Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Shu Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 59 | |
| 2 | 2006 | 57 | |
| 3 | 2006 | 54 | |
| 4 | 2006 | 39 | |
| 5 | 2008 | 38 | |
| 6 | 2007 | 22 | |
| 7 | 2008 | 21 | |
| 8 | 2008 | 16 | |
| 9 | 2006 | 15 | |
| 10 | 2008 | 12 | |
| 11 | 2008 | 11 | |
| 12 | 2009 | 11 | |
| 13 | 2007 | 11 |
About Jun‐Shu Ai
Jun‐Shu Ai is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Cell Biology, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (11 papers), Microtubule and mitosis dynamics (8 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (2 papers), Prenatal Screening and Diagnostics (2 papers), DNA Repair Mechanisms (1 paper), Kruppel-like factors research (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (242 citations), Reproductive Medicine (69 citations), Aging (14 citations), Cell Biology (122 citations) and Molecular Biology (224 citations). Jun‐Shu Ai has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Qing‐Yuan Sun, Da‐Yuan Chen, Shen Yin, Yi Hou, Cheng‐Guang Liang, Bo Xiong, Ying‐Chun Ouyang, Qiang Wang, Heide Schatten and Shao‐Chen Sun. Their work appears in journals such as Cell Cycle, Biology of Reproduction, PLoS ONE, Journal of Reproduction and Development and Asian-Australasian Journal of Animal Sciences.
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.