Dejun Ji

856 citations
59 papers · 627 · h-index 15

Impact in

Papers in

    • 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
    • Cancer-related molecular mechanisms research 20

Dejun Ji

53 papers receiving 612 citations

Peers

Dejun Ji
Comparison fields: 5 of 89
  • Cancer Research 188
  • Agronomy and Crop Science 126
  • Urology 65
  • Animal Science and Zoology 78
  • Genetics 180
Replace Nauman J. Maqbool with:
Nauman J. Maqbool New Zealand
Shuli Liu China
Lingzhao Fang China
J. M. Jaśkowski Poland
Tomasz Szmatoła Poland
Kemei Peng China
G. R. Newton United States
Andrea Verini Supplizi Italy
Chunhong Yang China
Dejun Ji relative to Nauman J. Maqbool New Zealand Nauman J. Maqbool's profile →
Citations per field
00.5×1.5×2.4×
Nauman J. Maqbool · 1×
Citations per year

Countries citing papers authored by Dejun Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dejun Ji Line = papers co-authored together Dejun Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201585
3 201735
4 201134
5 201021
6 200721
7 201421
8 200621
9 202121
10 201817
11 200914
12 201914
13 202014
14 200714
15 201214
16 200713
17 202113
18 201811
19 201311
20 200810

About Dejun Ji

Dejun Ji is a scholar working on Genetics, Cancer Research, Molecular Biology, Urology and Agronomy and Crop Science, having authored 59 papers that have together received 627 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), Milk Quality and Mastitis in Dairy Cows (7 papers), Genetic diversity and population structure (7 papers), Animal Genetics and Reproduction (7 papers) and melanin and skin pigmentation (6 papers). The work is most often cited by research in Cancer Research (188 citations), Agronomy and Crop Science (126 citations), Urology (65 citations), Animal Science and Zoology (78 citations) and Genetics (180 citations). Dejun Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yongjiang Mao, Zhangping Yang, Yongjun Li, Dan Chen, Yihui Zhu, Yunchen Gong, Zhangping Yang, Hong Chang, Jianjun Dai and Fang Tang. Their work appears in journals such as Journal of genetics and genomics, Biochemical Genetics, Asian-Australasian Journal of Animal Sciences, Molecular Biology Reports 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.

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