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 WeiFangxiong ShiJohn S. DavisPeixin YangGuohua HuaXiangmin LvPaul F. LambertJixin Dong
- Journals
- Acta Histochemica (7 papers)Theriogenology (4 papers)Journal of Biochemical and Molecular Toxicology (3 papers)Tissue and Cell (3 papers)Small Ruminant Research (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Dagan Mao
48 papers receiving 693 citations
Peers
Comparison fields: 5 of 89
- Reproductive Medicine 88
- Agronomy and Crop Science 84
- Cell Biology 126
- Animal Science and Zoology 64
- Endocrine and Autonomic Systems 35
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 5 | |
| 10 | 2016 | 37 | |
| 11 | 2015 | 3 | |
| 12 | 2015 | 12 | |
| 13 | 2015 | 5 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 211 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2010 | 19 | |
| 19 | 2008 | 25 | |
| 20 | Lymphocyte Proliferation and GH,IGF-ISecretion of Mice Immunized with Fusion-Expression Plasmid of GM-CSF and Somatostatin Delivered by Attenuated Salmonella | 2006 | 3 |
About Dagan Mao
Dagan Mao is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Animal Science and Zoology, Immunology and Geriatrics and Gerontology, having authored 51 papers that have together received 707 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), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Selenium in Biological Systems (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (88 citations), Agronomy and Crop Science (84 citations), Cell Biology (126 citations), Animal Science and Zoology (64 citations) and Endocrine and Autonomic Systems (35 citations). Dagan Mao has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Quanwei Wei, Fangxiong Shi, John S. Davis, Peixin Yang, Guohua Hua, Xiangmin Lv, Paul F. Lambert, Jixin Dong, Xingcheng Chen and Jin Zhou. Their work appears in journals such as Acta Histochemica, Theriogenology, Journal of Biochemical and Molecular Toxicology, Tissue and Cell and Small Ruminant Research.
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.