Dejun Ji
Impact in
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows
- Reproductive Physiology in Livestock
- Urology top 5%
- Hair Growth and Disorders
Papers in
- Co-authors
- Yongjiang Mao (17 shared papers)Zhangping Yang (14 shared papers)Yongjun Li (19 shared papers)Yihui Zhu (2 shared papers)Zhangping Yang (4 shared papers)Dan Chen (2 shared papers)Yunchen Gong (2 shared papers)Hong Chang (8 shared papers)
- Journals
- Animals (3 papers)Journal of genetics and genomics (3 papers)Genes (2 papers)Biochemical Genetics (2 papers)Molecular Biology Reports (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dejun Ji
55 papers receiving 644 citations
Peers
Comparison fields: 5 of 73
- Agronomy and Crop Science 127
- Urology 71
- Genetics 223
- Animal Science and Zoology 43
- Cancer Research 35
Countries citing papers authored by Dejun Ji
This map shows the geographic impact of Dejun Ji'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 Dejun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Ji more than expected).
Fields of papers citing papers by Dejun Ji
This network shows the impact of papers produced by Dejun Ji. 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 Dejun Ji. The network helps show where Dejun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Ji, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2015 | 87 | |
| 3 | 2017 | 36 | |
| 4 | 2011 | 35 | |
| 5 | 2007 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2010 | 21 | |
| 8 | 2014 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2009 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 2008 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2022 | 10 |
About Dejun Ji
Dejun Ji is a scholar working on Urology, Genetics, Agronomy and Crop Science, Animal Science and Zoology and Ecology, having authored 59 papers that have together received 658 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Hair Growth and Disorders (16 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Genetic diversity and population structure (3 papers), Reproductive Biology and Fertility (2 papers), Circular RNAs in diseases (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (127 citations), Urology (71 citations), Genetics (223 citations), Animal Science and Zoology (43 citations) and Cancer Research (35 citations). Dejun Ji has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yongjiang Mao, Zhangping Yang, Yongjun Li, Yihui Zhu, Zhangping Yang, Dan Chen, Yunchen Gong, Hong Chang, Fang Tang and Jianluan Ren. Their work appears in journals such as Animals, Journal of genetics and genomics, Genes, Biochemical Genetics and Molecular Biology Reports.
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.