Boxing Sun
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
-
- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 5
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 9
- Co-authors
- Zhihui Zhao (15 shared papers)Runjun Yang (8 shared papers)Jiajia Qi (18 shared papers)Shuang Liang (15 shared papers)Yonghong Zhang (4 shared papers)Yuwei Yang (5 shared papers)Jiabao Zhang (10 shared papers)Xibi Fang (3 shared papers)
- Journals
- Theriogenology (8 papers)Gene (6 papers)DNA and Cell Biology (4 papers)Animal Genetics (4 papers)Reproduction in Domestic Animals (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Boxing Sun
43 papers receiving 567 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 190
- Reproductive Medicine 61
- Animal Science and Zoology 69
- Genetics 108
- Molecular Biology 264
Countries citing papers authored by Boxing Sun
This map shows the geographic impact of Boxing Sun'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 Boxing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxing Sun more than expected).
Fields of papers citing papers by Boxing Sun
This network shows the impact of papers produced by Boxing Sun. 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 Boxing Sun. The network helps show where Boxing Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxing Sun, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2011 | 47 | |
| 3 | 2018 | 39 | |
| 4 | 2014 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2011 | 23 | |
| 8 | 2015 | 23 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2013 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 12 |
About Boxing Sun
Boxing Sun is a scholar working on Molecular Biology, Cancer Research, Genetics, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 576 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (6 papers), Circular RNAs in diseases (6 papers), Reproductive Biology and Fertility (6 papers), Selenium in Biological Systems (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (190 citations), Reproductive Medicine (61 citations), Animal Science and Zoology (69 citations), Genetics (108 citations) and Molecular Biology (264 citations). Boxing Sun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhihui Zhao, Runjun Yang, Jiajia Qi, Shuang Liang, Yonghong Zhang, Yuwei Yang, Jiabao Zhang, Xibi Fang, Shaoxuan Zhang and Boyang Liu. Their work appears in journals such as Theriogenology, Gene, DNA and Cell Biology, Animal Genetics and Reproduction in Domestic 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.