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 5
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- Advanced biosensing and bioanalysis techniques 4
- Genomics and Phylogenetic Studies 2
- Co-authors
- Zhiyong Huang (5 shared papers)Zhengzhong Lin (5 shared papers)Zhigang Jiang (5 shared papers)Xiaomei Chen (3 shared papers)Xianming Hu (1 shared paper)Meng-Hua Li (6 shared papers)Xiaoju Hu (4 shared papers)Minghui Wu (3 shared papers)
- Journals
- Nature Communications (3 papers)Molecular Biology and Evolution (3 papers)Frontiers in Plant Science (2 papers)Molecular Ecology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSouth KoreaAustralia
In The Last Decade
Ji Yang
31 papers receiving 875 citations
Peers
Comparison fields: 5 of 92
- Genetics 361
- Ecological Modeling 41
- Ecology 182
- Cancer Research 105
- Analytical Chemistry 62
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2017 | 84 | |
| 3 | 2017 | 76 | |
| 4 | 2018 | 71 | |
| 5 | 2013 | 65 | |
| 6 | 2008 | 55 | |
| 7 | 2019 | 48 | |
| 8 | 2013 | 35 | |
| 9 | 2017 | 32 | |
| 10 | 2018 | 29 | |
| 11 | 2011 | 29 | |
| 12 | 2012 | 28 | |
| 13 | 2011 | 28 | |
| 14 | 2009 | 27 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2018 | 18 | |
| 18 | 2024 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2024 | 16 |
About Ji Yang
Ji Yang is a scholar working on Genetics, Molecular Biology, Ecology, Biomedical Engineering and Plant Science, having authored 33 papers that have together received 884 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), Genetic Mapping and Diversity in Plants and Animals (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (4 papers), Analytical chemistry methods development (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Genetics (361 citations), Ecological Modeling (41 citations), Ecology (182 citations), Cancer Research (105 citations) and Analytical Chemistry (62 citations). Ji Yang has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Zhiyong Huang, Zhengzhong Lin, Zhigang Jiang, Xiaomei Chen, Xianming Hu, Meng-Hua Li, Xiaoju Hu, Minghui Wu, Feng‐Hua Lv and Jun Zeng. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, Frontiers in Plant Science, Molecular Ecology 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.