Junliang Fu
- Immunology top 1%
- Epidemiology top 1%
- Hepatology top 0.5%
- Oncology top 5%
- Surgery top 5%
- Co-authors
- Fu‐Sheng WangZheng ZhangMing ShiZhengsheng ZouJi‐Yuan ZhangChun‐Bao ZhouRuonan XuHui Zhang
- Topics
- Hepatitis B Virus Studies (37 papers)Immune Cell Function and Interaction (27 papers)Hepatitis C virus research (26 papers)
- Cited by
- HepatologyImmunologyVirology
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junliang Fu
83 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 2.2k
- Epidemiology 1.8k
- Hepatology 1.6k
- Oncology 915
- Surgery 638
Countries citing papers authored by Junliang Fu
This map shows the geographic impact of Junliang Fu'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 Junliang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junliang Fu more than expected).
Fields of papers citing papers by Junliang Fu
This network shows the impact of papers produced by Junliang Fu. 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 Junliang Fu. The network helps show where Junliang Fu may publish in the future.
Co-authorship network of co-authors of Junliang Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Fu. A scholar is included among the top collaborators of Junliang Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junliang Fu. Junliang Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 114 | |
| 8 | 5 | |
| 9 | Study on the correlation between CD4~+ cytotoxic T and course of primary hepatocellular carcinoma | 1 |
| 10 | 58 | |
| 11 | Evaluation on the efficacy of human umbilical cord derived-mesenchymal stem cell transplantation in liver cirrhosis patients with ascites in a prospective and control trial | 3 |
| 12 | 273 | |
| 13 | Effect of treatment of autologous cytokine-induced killer cells(CIKs) on the suppression of hepatitis B virus and its mechanism | 0 |
| 14 | 130 | |
| 15 | 20 | |
| 16 | 23 | |
| 17 | Increased Regulatory T Cells Correlate With CD8 T-Cell Impairment and Poor Survival in Hepatocellular Carcinoma Patientsbreakdown → | 725 |
| 18 | 48 | |
| 19 | 373 | |
| 20 | [IFN or oxymatrine in combination with lamivudine in patients with lamivudine-resistant chronic hepatitis B]. | 1 |
About Junliang Fu
Junliang Fu is a scholar working on Hepatology, Virology and Immunology, having authored 90 papers that have together received 4.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (37 papers), Immune Cell Function and Interaction (27 papers) and Hepatitis C virus research (26 papers). The work is most often cited by research in Hepatology (1.6k citations), Immunology (2.2k citations) and Virology (343 citations). Junliang Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fu‐Sheng Wang, Zheng Zhang, Ming Shi, Zhengsheng Zou, Ji‐Yuan Zhang, Chun‐Bao Zhou, Ruonan Xu, Hui Zhang, Lei Jin and Lei Jin. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.