Fang Liu
- Immunology top 5%
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 11
- Atherosclerosis and Cardiovascular Diseases 8
- Immune Response and Inflammation 8
- T-cell and B-cell Immunology 8
- Immune cells in cancer 8
- Aging top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation 7
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 8
- Epidemiology top 5%
- Cited by
- ImmunologyAgingCancer Research
- Journals
- Frontiers in Immunology (6 papers)Clinical Cosmetic and Investigational Dermatology (6 papers)Blood (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Liu
174 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 132
- Immunology 857
- Aging 27
- Cancer Research 231
- Oncology 409
- Epidemiology 512
Countries citing papers authored by Fang Liu
This map shows the geographic impact of Fang 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 Fang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Liu more than expected).
Fields of papers citing papers by Fang Liu
This network shows the impact of papers produced by Fang 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 Fang Liu. The network helps show where Fang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang 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 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 33 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 20 | |
| 17 | 2018 | 36 | |
| 18 | 2014 | 2 | |
| 19 | 2010 | 2 | |
| 20 | [Relationship between human papillomavirus 16 infection and the expression of p33(ING1b), human telomerase reverse transcriptase in cervical squamous cell carcinoma of Uygur female in Xinjiang Uygur Autonomous Region]. | 2007 | 1 |
About Fang Liu
Fang Liu is a scholar working on Immunology, Dermatology, Epidemiology, Hepatology and Microbiology, having authored 187 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (11 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Immune Response and Inflammation (8 papers), T-cell and B-cell Immunology (8 papers), Immune cells in cancer (8 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Immunology (857 citations), Aging (27 citations), Cancer Research (231 citations), Oncology (409 citations) and Epidemiology (512 citations). Fang Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ling Gao, Qi Fei, Xiaofeng Niu, Weifeng Li, Wenbing Zhi, Lin Wu, Conway Niu, Qu‐ming Zhao, Xiaojing Ma and Guoying Huang. Their work appears in journals such as Frontiers in Immunology, Clinical Cosmetic and Investigational Dermatology, Blood, Emerging Microbes & Infections and Journal of Immunology Research.
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.