Dagan Mao
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
Papers in
-
- Reproductive Physiology in Livestock 13
- Co-authors
- Quanwei Wei (18 shared papers)Fangxiong Shi (12 shared papers)John S. Davis (3 shared papers)Xiangmin Lv (1 shared paper)Guohua Hua (1 shared paper)Steven W. Remmenga (1 shared paper)Xingcheng Chen (1 shared paper)Jin Zhou (1 shared paper)
- Journals
- Acta Histochemica (7 papers)Theriogenology (4 papers)Journal of Biochemical and Molecular Toxicology (3 papers)Tissue and Cell (3 papers)Animals (2 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Dagan Mao
50 papers receiving 709 citations
Peers
Comparison fields: 5 of 86
- Reproductive Medicine 77
- Agronomy and Crop Science 82
- Cell Biology 124
- Animal Science and Zoology 64
- Sensory Systems 26
Countries citing papers authored by Dagan Mao
This map shows the geographic impact of Dagan 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 Dagan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagan Mao more than expected).
Fields of papers citing papers by Dagan Mao
This network shows the impact of papers produced by Dagan 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 Dagan Mao. The network helps show where Dagan Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagan Mao, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 213 | |
| 2 | 2019 | 52 | |
| 3 | 2016 | 38 | |
| 4 | 2006 | 37 | |
| 5 | 2013 | 25 | |
| 6 | 2008 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 21 | |
| 10 | 2010 | 20 | |
| 11 | 2019 | 17 | |
| 12 | 2009 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2018 | 11 |
About Dagan Mao
Dagan Mao is a scholar working on Molecular Biology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Immunology and Nutrition and Dietetics, having authored 51 papers that have together received 722 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (13 papers), Reproductive Biology and Fertility (12 papers), Reproductive System and Pregnancy (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Genetic and phenotypic traits in livestock (4 papers), Nuclear Receptors and Signaling (3 papers), Selenium in Biological Systems (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Reproductive Medicine (77 citations), Agronomy and Crop Science (82 citations), Cell Biology (124 citations), Animal Science and Zoology (64 citations) and Sensory Systems (26 citations). Dagan Mao has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Quanwei Wei, Fangxiong Shi, John S. Davis, Xiangmin Lv, Guohua Hua, Steven W. Remmenga, Xingcheng Chen, Jin Zhou, Peixin Yang and Cheng Wang. Their work appears in journals such as Acta Histochemica, Theriogenology, Journal of Biochemical and Molecular Toxicology, Tissue and Cell and Animals.
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.