Fuliang Chu
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Virology top 10%
Papers in
- Immunology 23
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 8
- Galectins and Cancer Biology 3
- Oncology 20
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- Sattva S. NeelapuChen DongRoza NurievaSeema RawalShinya TanakaGustavo MartínezHoyong LimJoseph M. Reynolds
- Journals
- Blood (9 papers)The Journal of Immunology (2 papers)OncoImmunology (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Hematological Oncology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fuliang Chu
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 1.4k
- Virology 70
- Oncology 386
- Infectious Diseases 214
- Transplantation 31
Countries citing papers authored by Fuliang Chu
This map shows the geographic impact of Fuliang Chu'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 Fuliang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuliang Chu more than expected).
Fields of papers citing papers by Fuliang Chu
This network shows the impact of papers produced by Fuliang Chu. 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 Fuliang Chu. The network helps show where Fuliang Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fuliang Chu, 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 | 2023 | 20 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 29 | |
| 4 | 2018 | 18 | |
| 5 | 2016 | 20 | |
| 6 | 2014 | 254 | |
| 7 | 2014 | 5 | |
| 8 | 2014 | 1 | |
| 9 | Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactions Hit paper breakdown → | 2011 | 877 |
| 10 | 2010 | 25 | |
| 11 | 2010 | 106 | |
| 12 | 2009 | 1 | |
| 13 | 2009 | 2 | |
| 14 | 2009 | 18 | |
| 15 | 2008 | 3 | |
| 16 | 2007 | 32 | |
| 17 | 2007 | 15 | |
| 18 | 2005 | 12 | |
| 19 | 2005 | 89 | |
| 20 | 2003 | 18 |
About Fuliang Chu
Fuliang Chu is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Virology and Genetics, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), CAR-T cell therapy research (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Immunology (1.4k citations), Virology (70 citations), Oncology (386 citations), Infectious Diseases (214 citations) and Transplantation (31 citations). Fuliang Chu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sattva S. Neelapu, Chen Dong, Roza Nurieva, Seema Rawal, Shinya Tanaka, Gustavo Martínez, Hoyong Lim, Joseph M. Reynolds, Yeonseok Chung and Yi-Hong Wang. Their work appears in journals such as Blood, The Journal of Immunology, OncoImmunology, Journal for ImmunoTherapy of Cancer and Hematological Oncology.
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.