Ji Yang
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Ecological Modeling top 10%
Papers in
- Genetics 16
- Genetic and phenotypic traits in livestock 13
- Genetic diversity and population structure 10
- Genetic Mapping and Diversity in Plants and Animals 3
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- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Zhengzhong Lin (5 shared papers)Zhiyong Huang (5 shared papers)Zhigang Jiang (5 shared papers)Meng-Hua Li (6 shared papers)Xianming Hu (1 shared paper)Minghui Wu (3 shared papers)Xiaoju Hu (4 shared papers)Feng‐Hua Lv (4 shared papers)
- Journals
- Nature Communications (3 papers)Molecular Biology and Evolution (3 papers)Frontiers in Plant Science (2 papers)Marine Pollution Bulletin (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Ji Yang
32 papers receiving 890 citations
Peers
Comparison fields: 5 of 92
- Genetics 358
- Ecological Modeling 41
- Ecology 181
- Cancer Research 90
- Analytical Chemistry 63
Countries citing papers authored by Ji Yang
This map shows the geographic impact of Ji Yang'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 Ji Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Yang more than expected).
Fields of papers citing papers by Ji Yang
This network shows the impact of papers produced by Ji Yang. 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 Ji Yang. The network helps show where Ji Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Yang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 105 | |
| 2 | 2017 | 85 | |
| 3 | 2017 | 78 | |
| 4 | 2018 | 71 | |
| 5 | 2013 | 65 | |
| 6 | 2008 | 55 | |
| 7 | 2019 | 48 | |
| 8 | 2013 | 37 | |
| 9 | 2017 | 32 | |
| 10 | 2018 | 29 | |
| 11 | 2011 | 29 | |
| 12 | 2011 | 28 | |
| 13 | 2012 | 28 | |
| 14 | 2009 | 27 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2024 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2023 | 17 |
About Ji Yang
Ji Yang is a scholar working on Genetics, Molecular Biology, Ecology, Biomedical Engineering and Plant Science, having authored 35 papers that have together received 898 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Genetic diversity and population structure (10 papers), Wildlife Ecology and Conservation (5 papers), Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Analytical chemistry methods development (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Carbon and Quantum Dots Applications (2 papers). The work is most often cited by research in Genetics (358 citations), Ecological Modeling (41 citations), Ecology (181 citations), Cancer Research (90 citations) and Analytical Chemistry (63 citations). Ji Yang has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Zhengzhong Lin, Zhiyong Huang, Zhigang Jiang, Meng-Hua Li, Xianming Hu, Minghui Wu, Xiaoju Hu, Feng‐Hua Lv, Jun Zeng and Xinglong Xie. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, Frontiers in Plant Science, Marine Pollution Bulletin and PLoS ONE.
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.