Ju Liu
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- interferon and immune responses
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Angiogenesis and VEGF in Cancer 20
- RNA Interference and Gene Delivery 7
- Immunology 52
- Co-authors
- Carolyn Kapron (14 shared papers)Fengyun Dong (23 shared papers)Corrinne G. Lobe (11 shared papers)Allan Lau (1 shared paper)Suhua Yan (16 shared papers)Kaiyong Cai (8 shared papers)Ye He (5 shared papers)Liqun Li (15 shared papers)
- Journals
- International Journal of Molecular Medicine (6 papers)Frontiers in Immunology (4 papers)Oncotarget (4 papers)Gene (4 papers)Journal of Neuroimmunology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ju Liu
331 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 175
- Immunology 1.0k
- Cancer Research 504
- Endocrine and Autonomic Systems 221
- Molecular Biology 2.0k
- Nephrology 164
Countries citing papers authored by Ju Liu
This map shows the geographic impact of Ju 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 Ju Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Liu more than expected).
Fields of papers citing papers by Ju Liu
This network shows the impact of papers produced by Ju 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 Ju Liu. The network helps show where Ju Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju 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
Showing the 20 most-cited of 345 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 222 | |
| 2 | 1996 | 155 | |
| 3 | 2014 | 134 | |
| 4 | 2014 | 120 | |
| 5 | 2012 | 114 | |
| 6 | 2019 | 103 | |
| 7 | 2019 | 100 | |
| 8 | 2020 | 100 | |
| 9 | 2008 | 97 | |
| 10 | 2017 | 95 | |
| 11 | 2016 | 90 | |
| 12 | 2018 | 84 | |
| 13 | 2014 | 78 | |
| 14 | 2020 | 72 | |
| 15 | 2018 | 65 | |
| 16 | 2015 | 64 | |
| 17 | 2017 | 63 | |
| 18 | 2008 | 60 | |
| 19 | 2017 | 59 | |
| 20 | 2005 | 56 |
About Ju Liu
Ju Liu is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Genetics, having authored 345 papers that have together received 6.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (20 papers), Multiple Sclerosis Research Studies (12 papers), Heavy Metal Exposure and Toxicity (10 papers), Regulation of Appetite and Obesity (10 papers), Cell Adhesion Molecules Research (9 papers), Cytokine Signaling Pathways and Interactions (8 papers), RNA Interference and Gene Delivery (7 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (504 citations), Endocrine and Autonomic Systems (221 citations), Molecular Biology (2.0k citations) and Nephrology (164 citations). Ju Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Carolyn Kapron, Fengyun Dong, Corrinne G. Lobe, Allan Lau, Suhua Yan, Kaiyong Cai, Ye He, Liqun Li, Youichiro Wada and Yinglong Hou. Their work appears in journals such as International Journal of Molecular Medicine, Frontiers in Immunology, Oncotarget, Gene and Journal of Neuroimmunology.
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.