Xiaojun Di
Impact in
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
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- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Gene Regulatory Network Analysis 1
- Advanced Biosensing Techniques and Applications 1
- Advanced biosensing and bioanalysis techniques 1
- Molecular Biology Techniques and Applications 1
- Genetics 2
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Guoying Liu (5 shared papers)Keith Jones (5 shared papers)Giulia C. Kennedy (4 shared papers)Shoulian Dong (4 shared papers)Geoffrey Yang (4 shared papers)Hajime Matsuzaki (4 shared papers)Rui Mei (5 shared papers)Thomas B. Ryder (3 shared papers)
- Journals
- BMC Bioinformatics (1 paper)Nature Biotechnology (1 paper)Nature Methods (1 paper)Genome Research (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Xiaojun Di
7 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Genetics 575
- Molecular Biology 640
- Cancer Research 109
- Genetics 37
- Hematology 34
Countries citing papers authored by Xiaojun Di
This map shows the geographic impact of Xiaojun Di'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 Xiaojun Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Di more than expected).
Fields of papers citing papers by Xiaojun Di
This network shows the impact of papers produced by Xiaojun Di. 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 Xiaojun Di. The network helps show where Xiaojun Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Di, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 420 | |
| 2 | 2004 | 317 | |
| 3 | 2004 | 239 | |
| 4 | 2003 | 83 | |
| 5 | 2006 | 54 | |
| 6 | 2001 | 12 | |
| 7 | 2005 | 4 |
About Xiaojun Di
Xiaojun Di is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene Regulatory Network Analysis (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Genetics (575 citations), Molecular Biology (640 citations), Cancer Research (109 citations), Genetics (37 citations) and Hematology (34 citations). Xiaojun Di has collaborated with scholars based in United States and Japan. Frequent co-authors include Guoying Liu, Keith Jones, Giulia C. Kennedy, Shoulian Dong, Geoffrey Yang, Hajime Matsuzaki, Rui Mei, Thomas B. Ryder, Weimin Liu and Jing Huang. Their work appears in journals such as BMC Bioinformatics, Nature Biotechnology, Nature Methods, Genome Research and Bioinformatics.
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.