Dajiang J. Liu
- Genetics top 5%
- Genetic Associations and Epidemiology 25
- Genetic Mapping and Diversity in Plants and Animals 9
- Genomics and Rare Diseases 7
- Genetic and phenotypic traits in livestock 5
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
- Process Chemistry and Technology top 10%
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- Gene expression and cancer classification 4
- RNA modifications and cancer 4
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- T-cell and B-cell Immunology 4
- Co-authors
- Suzanne M. LealXiaowei ZhanBingshan LiGonçalo R. AbecasisYouna HuEugene Y.‐X. ChenHongtao GuoYuetao Zhang
- Partner nations
- United StatesChinaMyanmar
In The Last Decade
Dajiang J. Liu
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 153
- Genetics 522
- Cancer Research 189
- Process Chemistry and Technology 32
- Molecular Biology 558
- Immunology 125
Countries citing papers authored by Dajiang J. Liu
This map shows the geographic impact of Dajiang J. Liu'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 Dajiang J. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajiang J. Liu more than expected).
Fields of papers citing papers by Dajiang J. Liu
This network shows the impact of papers produced by Dajiang J. Liu. 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 Dajiang J. Liu. The network helps show where Dajiang J. Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dajiang J. Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 24 | |
| 12 | 2022 | 27 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 0 | |
| 18 | 2020 | 35 | |
| 19 | Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program | 2018 | 0 |
| 20 | 2012 | 23 |
About Dajiang J. Liu
Dajiang J. Liu is a scholar working on Genetics, Cancer Research and Gastroenterology, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Genomics and Rare Diseases (7 papers), Cancer-related molecular mechanisms research (5 papers), Genetic and phenotypic traits in livestock (5 papers), Gene expression and cancer classification (4 papers), RNA modifications and cancer (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Genetics (522 citations), Cancer Research (189 citations) and Process Chemistry and Technology (32 citations). Dajiang J. Liu has collaborated with scholars based in United States, China and Myanmar. Frequent co-authors include Suzanne M. Leal, Xiaowei Zhan, Bingshan Li, Gonçalo R. Abecasis, Youna Hu, Eugene Y.‐X. Chen, Hongtao Guo, Yuetao Zhang, Xiaolei Liang and Guang Yao. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.