Jun‐Yu Ma
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
-
- Epigenetics and DNA Methylation 8
- DNA Repair Mechanisms 6
- Genomics and Chromatin Dynamics 6
- Pluripotent Stem Cells Research 5
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- Reproductive Biology and Fertility 22
- Co-authors
- Wei Shen (12 shared papers)Qing‐Yuan Sun (16 shared papers)Shi‐Ming Luo (11 shared papers)Shen Yin (14 shared papers)Heide Schatten (9 shared papers)Yi Hou (9 shared papers)Xiang‐Hong Ou (17 shared papers)Fang-Nong Lai (3 shared papers)
- Journals
- PLoS ONE (7 papers)Cell Cycle (4 papers)Physics of Fluids (2 papers)Reproductive Toxicology (2 papers)Biology of Reproduction (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun‐Yu Ma
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Reproductive Medicine 132
- Public Health, Environmental and Occupational Health 344
- Cancer Research 147
- Health, Toxicology and Mutagenesis 131
- Molecular Biology 534
Countries citing papers authored by Jun‐Yu Ma
This map shows the geographic impact of Jun‐Yu Ma'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‐Yu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Yu Ma more than expected).
Fields of papers citing papers by Jun‐Yu Ma
This network shows the impact of papers produced by Jun‐Yu Ma. 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‐Yu Ma. The network helps show where Jun‐Yu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Yu Ma, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 94 | |
| 2 | 2013 | 76 | |
| 3 | 2016 | 64 | |
| 4 | 2013 | 57 | |
| 5 | 2014 | 56 | |
| 6 | 2018 | 56 | |
| 7 | 2015 | 55 | |
| 8 | 2013 | 55 | |
| 9 | 2014 | 52 | |
| 10 | 2016 | 47 | |
| 11 | 2011 | 42 | |
| 12 | 2020 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2015 | 32 | |
| 15 | 2013 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2016 | 24 | |
| 18 | 2021 | 23 | |
| 19 | 2018 | 21 | |
| 20 | 2020 | 20 |
About Jun‐Yu Ma
Jun‐Yu Ma is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Plant Science, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (22 papers), Epigenetics and DNA Methylation (8 papers), Sperm and Testicular Function (7 papers), DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (6 papers), Ovarian function and disorders (5 papers), Pluripotent Stem Cells Research (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Reproductive Medicine (132 citations), Public Health, Environmental and Occupational Health (344 citations), Cancer Research (147 citations), Health, Toxicology and Mutagenesis (131 citations) and Molecular Biology (534 citations). Jun‐Yu Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Shen, Qing‐Yuan Sun, Shi‐Ming Luo, Shen Yin, Heide Schatten, Yi Hou, Xiang‐Hong Ou, Fang-Nong Lai, Jing‐Cai Liu and Zhen‐Bo Wang. Their work appears in journals such as PLoS ONE, Cell Cycle, Physics of Fluids, Reproductive Toxicology and Biology of Reproduction.
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.