Jun Gao
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
- Genetics 28
- Genetic and phenotypic traits in livestock 8
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 6
- Co-authors
- Hongmei Jin (2 shared papers)Sergio C. Capareda (2 shared papers)Zhizhou Chang (2 shared papers)Yueding Xu (1 shared paper)Jianying Zhang (1 shared paper)Hongmei Jin (1 shared paper)Bingqing Li (1 shared paper)Yanyun Zhu (1 shared paper)
- Journals
- Animals (5 papers)BMC Genomics (4 papers)Transfusion (3 papers)Frontiers in Cardiovascular Medicine (3 papers)Fertility and Sterility (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Gao
94 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Animal Science and Zoology 202
- Industrial and Manufacturing Engineering 168
- Water Science and Technology 267
- Pollution 210
- Soil Science 163
Countries citing papers authored by Jun Gao
This map shows the geographic impact of Jun 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 Jun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gao more than expected).
Fields of papers citing papers by Jun Gao
This network shows the impact of papers produced by Jun 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 Jun Gao. The network helps show where Jun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 330 | |
| 2 | 2020 | 164 | |
| 3 | The Impact of the Stress Hyperglycemia Ratio on Short-term and Long-term Poor Prognosis in Patients With Acute Coronary Syndrome: Insight From a Large Cohort Study in Asia Hit paper breakdown → | 2022 | 131 |
| 4 | 2018 | 104 | |
| 5 | 2021 | 72 | |
| 6 | 2014 | 69 | |
| 7 | 2008 | 66 | |
| 8 | 2013 | 65 | |
| 9 | 2016 | 62 | |
| 10 | 2021 | 42 | |
| 11 | 2020 | 42 | |
| 12 | 2020 | 30 | |
| 13 | 2015 | 30 | |
| 14 | 2013 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2022 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2020 | 23 | |
| 20 | 2014 | 23 |
About Jun Gao
Jun Gao is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cancer Research and Immunology, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (10 papers), Aquaculture disease management and microbiota (10 papers), Genetic and phenotypic traits in livestock (8 papers), Aquaculture Nutrition and Growth (8 papers), Prenatal Screening and Diagnostics (7 papers), Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Animal Science and Zoology (202 citations), Industrial and Manufacturing Engineering (168 citations), Water Science and Technology (267 citations), Pollution (210 citations) and Soil Science (163 citations). Jun Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongmei Jin, Sergio C. Capareda, Zhizhou Chang, Yueding Xu, Jianying Zhang, Hongmei Jin, Bingqing Li, Yanyun Zhu, Dong Liang and Ning Zhu. Their work appears in journals such as Animals, BMC Genomics, Transfusion, Frontiers in Cardiovascular Medicine and Fertility and Sterility.
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.