E Guangxin
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Animal Genetics and Reproduction
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
Papers in
- Genetics 59
- Genetic and phenotypic traits in livestock 46
- Genetic Mapping and Diversity in Plants and Animals 21
- Genetic diversity and population structure 16
- Animal Genetics and Reproduction 9
-
- Genomics and Phylogenetic Studies 9
- Co-authors
- Yongju Zhao (33 shared papers)Wangdui Basang (11 shared papers)Yuehui Ma (15 shared papers)Yongfu Huang (22 shared papers)Yanbin Zhu (6 shared papers)Risu Na (26 shared papers)Yan Zeng (16 shared papers)Huijiang Gao (11 shared papers)
In The Last Decade
E Guangxin
75 papers receiving 468 citations
Peers
Comparison fields: 5 of 63
- Genetics 329
- Agronomy and Crop Science 75
- Cancer Research 100
- Animal Science and Zoology 64
- Reproductive Medicine 24
Countries citing papers authored by E Guangxin
This map shows the geographic impact of E Guangxin'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 E Guangxin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Guangxin more than expected).
Fields of papers citing papers by E Guangxin
This network shows the impact of papers produced by E Guangxin. 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 E Guangxin. The network helps show where E Guangxin may publish in the future.
Co-authors
The 25 scholars most cited alongside E Guangxin, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2019 | 28 | |
| 3 | 2019 | 23 | |
| 4 | 2019 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 7 |
About E Guangxin
E Guangxin is a scholar working on Genetics, Molecular Biology, Cancer Research, Animal Science and Zoology and Agronomy and Crop Science, having authored 78 papers that have together received 471 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (46 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Cancer-related molecular mechanisms research (18 papers), Genetic diversity and population structure (16 papers), Animal Genetics and Reproduction (9 papers), Genomics and Phylogenetic Studies (9 papers), Reproductive Physiology in Livestock (5 papers) and Rangeland Management and Livestock Ecology (5 papers). The work is most often cited by research in Genetics (329 citations), Agronomy and Crop Science (75 citations), Cancer Research (100 citations), Animal Science and Zoology (64 citations) and Reproductive Medicine (24 citations). E Guangxin has collaborated with scholars based in China, Italy and Tanzania. Frequent co-authors include Yongju Zhao, Wangdui Basang, Yuehui Ma, Yongfu Huang, Yanbin Zhu, Risu Na, Yan Zeng, Huijiang Gao, Mingxing Chu and Qionghua Hong. Their work appears in journals such as Animals, Animal Genetics, Ecology and Evolution, Gene and International Journal of Molecular 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.