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
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 9
- Genetics 13
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic and phenotypic traits in livestock 7
- Co-authors
- Zhihui Zhao (15 shared papers)Runjun Yang (8 shared papers)Jiajia Qi (17 shared papers)Chunyan Bai (17 shared papers)Shuang Liang (14 shared papers)Yonghong Zhang (4 shared papers)Yuwei Yang (4 shared papers)Jiabao Zhang (10 shared papers)
- Journals
- Gene (6 papers)Theriogenology (6 papers)Animal Genetics (4 papers)DNA and Cell Biology (4 papers)Veterinary Sciences (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Boxing Sun
43 papers receiving 575 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 191
- Reproductive Medicine 59
- Animal Science and Zoology 70
- Genetics 110
- Molecular Biology 266
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2011 | 48 | |
| 3 | 2018 | 39 | |
| 4 | 2014 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2018 | 26 | |
| 7 | 2011 | 23 | |
| 8 | 2015 | 23 | |
| 9 | 2021 | 21 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2013 | 16 | |
| 14 | 2010 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 12 |
About Boxing Sun
Boxing Sun is a scholar working on Cancer Research, Genetics, Animal Science and Zoology, Molecular Biology and Nutrition and Dietetics, having authored 48 papers that have together received 582 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), Genetic and phenotypic traits in livestock (7 papers), Circular RNAs in diseases (6 papers), Selenium in Biological Systems (5 papers), Epigenetics and DNA Methylation (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Cancer Research (191 citations), Reproductive Medicine (59 citations), Animal Science and Zoology (70 citations), Genetics (110 citations) and Molecular Biology (266 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, Chunyan Bai, Shuang Liang, Yonghong Zhang, Yuwei Yang, Jiabao Zhang, Shaoxuan Zhang and Xibi Fang. Their work appears in journals such as Gene, Theriogenology, Animal Genetics, DNA and Cell Biology and Veterinary Sciences.
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.