Jiajun Liu
- Rheumatology top 5%
- Hematology top 5%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 3
- Cancer Research top 10%
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Immunology top 10%
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- Hepatitis B Virus Studies 5
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- Circular RNAs in diseases 5
- RNA modifications and cancer 4
- Extracellular vesicles in disease 4
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Daocheng WuZeying LiuMaria GreenwaldTerence RooneyMaxime DougadosStephanie de BonoInmaculada de la TorreDouglas Schlichting
- Cited by
- RheumatologyHematologyGenetics
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Nano Letters (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jiajun Liu
58 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Rheumatology 341
- Hematology 162
- Genetics 115
- Cancer Research 162
- Immunology 224
Countries citing papers authored by Jiajun Liu
This map shows the geographic impact of Jiajun 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 Jiajun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Liu more than expected).
Fields of papers citing papers by Jiajun Liu
This network shows the impact of papers produced by Jiajun 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 Jiajun Liu. The network helps show where Jiajun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiajun 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 79 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 167 | |
| 15 | 2019 | 24 | |
| 16 | 2017 | 10 | |
| 17 | Baricitinib in patients with inadequate response or intolerance to conventional synthetic DMARDs: results from the RA-BUILD studybreakdown → | 2016 | 301 |
| 18 | 2016 | 108 | |
| 19 | [Construction of genetically modified dendritic cell vaccine expressing bcr/abl fusion gene and inducing specific cytotoxic T lymphocytes to kill K562 cells in vitro]. | 2009 | 1 |
| 20 | 2008 | 16 |
About Jiajun Liu
Jiajun Liu is a scholar working on Cancer Research, Rheumatology and Hepatology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Extracellular vesicles in disease (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Rheumatology (341 citations), Hematology (162 citations) and Genetics (115 citations). Jiajun Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Daocheng Wu, Zeying Liu, Maria Greenwald, Terence Rooney, Maxime Dougados, Stephanie de Bono, Inmaculada de la Torre, Douglas Schlichting, Scott D. Beattie and Ying‐Chou Chen. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.
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.