Haijun Gao
Impact in
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
- Immunology top 5%
- Reproductive System and Pregnancy
Papers in
-
- Polyamine Metabolism and Applications 3
- Immunology 15
- Reproductive System and Pregnancy 12
- Co-authors
- Guoyao Wu (20 shared papers)Fuller W. Bazer (19 shared papers)Thomas E. Spencer (14 shared papers)Greg A. Johnson (8 shared papers)Yulong Yin (4 shared papers)Xilong Li (3 shared papers)Xilong Li (6 shared papers)Xiangfeng Kong (3 shared papers)
- Journals
- Biology of Reproduction (13 papers)Amino Acids (4 papers)Reproduction (2 papers)Endocrinology (2 papers)Frontiers in Bioscience-Landmark (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haijun Gao
53 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Agronomy and Crop Science 520
- Immunology 545
- Obstetrics and Gynecology 155
- Biochemistry 138
- Animal Science and Zoology 163
Countries citing papers authored by Haijun Gao
This map shows the geographic impact of Haijun Gao'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 Haijun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Gao more than expected).
Fields of papers citing papers by Haijun Gao
This network shows the impact of papers produced by Haijun Gao. 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 Haijun Gao. The network helps show where Haijun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Gao, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 238 | |
| 2 | 2009 | 202 | |
| 3 | 2008 | 185 | |
| 4 | 2018 | 132 | |
| 5 | 2011 | 132 | |
| 6 | 2009 | 125 | |
| 7 | 2009 | 117 | |
| 8 | 2008 | 109 | |
| 9 | 2009 | 105 | |
| 10 | 2008 | 91 | |
| 11 | 2013 | 89 | |
| 12 | 2014 | 75 | |
| 13 | 2015 | 75 | |
| 14 | 2018 | 67 | |
| 15 | 2009 | 65 | |
| 16 | 2008 | 64 | |
| 17 | 2011 | 54 | |
| 18 | 2009 | 53 | |
| 19 | 2009 | 45 | |
| 20 | 2016 | 34 |
About Haijun Gao
Haijun Gao is a scholar working on Molecular Biology, Immunology, Agronomy and Crop Science, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Reproductive Physiology in Livestock (9 papers), Parasitic infections in humans and animals (6 papers), Endometriosis Research and Treatment (5 papers), Reproductive Biology and Fertility (4 papers), Parasitic Infections and Diagnostics (3 papers), Polyamine Metabolism and Applications (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Agronomy and Crop Science (520 citations), Immunology (545 citations), Obstetrics and Gynecology (155 citations), Biochemistry (138 citations) and Animal Science and Zoology (163 citations). Haijun Gao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guoyao Wu, Fuller W. Bazer, Thomas E. Spencer, Greg A. Johnson, Yulong Yin, Xilong Li, Xilong Li, Xiangfeng Kong, Gregory A. Johnson and Bie Tan. Their work appears in journals such as Biology of Reproduction, Amino Acids, Reproduction, Endocrinology and Frontiers in Bioscience-Landmark.
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.