Dejun Ji
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows
Papers in
- Genetics 24
- Genetic and phenotypic traits in livestock 13
- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic diversity and population structure 7
- Animal Genetics and Reproduction 7
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- Cancer-related molecular mechanisms research 20
- Co-authors
- Yongjiang Mao (18 shared papers)Zhangping Yang (15 shared papers)Yongjun Li (19 shared papers)Zhangping Yang (4 shared papers)Yihui Zhu (2 shared papers)Dan Chen (2 shared papers)Yunchen Gong (2 shared papers)Xiaomei Sun (11 shared papers)
- Journals
- Journal of genetics and genomics (3 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Biochemical Genetics (2 papers)Animals (2 papers)Gene (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dejun Ji
58 papers receiving 656 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 171
- Agronomy and Crop Science 126
- Urology 67
- Animal Science and Zoology 79
- Genetics 178
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2015 | 88 | |
| 3 | 2017 | 36 | |
| 4 | 2011 | 35 | |
| 5 | 2007 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2010 | 21 | |
| 8 | 2006 | 21 | |
| 9 | 2014 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2009 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2007 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2013 | 11 | |
| 20 | 2008 | 11 |
About Dejun Ji
Dejun Ji is a scholar working on Genetics, Cancer Research, Molecular Biology, Urology and Agronomy and Crop Science, having authored 63 papers that have together received 671 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (20 papers), Hair Growth and Disorders (15 papers), Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic diversity and population structure (7 papers), Animal Genetics and Reproduction (7 papers), Milk Quality and Mastitis in Dairy Cows (7 papers) and melanin and skin pigmentation (5 papers). The work is most often cited by research in Cancer Research (171 citations), Agronomy and Crop Science (126 citations), Urology (67 citations), Animal Science and Zoology (79 citations) and Genetics (178 citations). Dejun Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yongjiang Mao, Zhangping Yang, Yongjun Li, Zhangping Yang, Yihui Zhu, Dan Chen, Yunchen Gong, Xiaomei Sun, Hong Chang and Rui Li. Their work appears in journals such as Journal of genetics and genomics, Asian-Australasian Journal of Animal Sciences, Biochemical Genetics, Animals and Gene.
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.