Guo Fu
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Structural Biology top 5%
Papers in
-
- RNA Interference and Gene Delivery 8
- RNA Research and Splicing 5
- Lipid Membrane Structure and Behavior 5
- Immunology 31
- T-cell and B-cell Immunology 22
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 12
- Co-authors
- Nicholas R. J. Gascoigne (20 shared papers)Oreste Acuto (7 shared papers)Jie Xiao (1 shared paper)Carla Coltharp (1 shared paper)Tao Huang (1 shared paper)Zach Hensel (1 shared paper)Jackson Buss (1 shared paper)Wolfgang Paster (6 shared papers)
- Journals
- Materials Science and Engineering C (4 papers)Nature Immunology (4 papers)Small (3 papers)The Journal of Immunology (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guo Fu
68 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 130
- Immunology 1.1k
- Structural Biology 36
- Oncology 459
- Biophysics 84
- Molecular Biology 856
Countries citing papers authored by Guo Fu
This map shows the geographic impact of Guo 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 Guo Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Fu more than expected).
Fields of papers citing papers by Guo Fu
This network shows the impact of papers produced by Guo 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 Guo Fu. The network helps show where Guo Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Fu, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 223 | |
| 2 | 2014 | 150 | |
| 3 | 2014 | 111 | |
| 4 | 2009 | 104 | |
| 5 | 2013 | 90 | |
| 6 | 2020 | 82 | |
| 7 | 2017 | 75 | |
| 8 | 2021 | 74 | |
| 9 | 2013 | 73 | |
| 10 | 2009 | 73 | |
| 11 | 2010 | 67 | |
| 12 | 2014 | 66 | |
| 13 | 2014 | 60 | |
| 14 | 2013 | 59 | |
| 15 | 2014 | 57 | |
| 16 | 2018 | 53 | |
| 17 | 2016 | 52 | |
| 18 | 2012 | 52 | |
| 19 | 2023 | 52 | |
| 20 | 2019 | 47 |
About Guo Fu
Guo Fu is a scholar working on Molecular Biology, Immunology, Oncology, Biomedical Engineering and Immunology and Allergy, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (12 papers), RNA Interference and Gene Delivery (8 papers), Cell Adhesion Molecules Research (5 papers), RNA Research and Splicing (5 papers), Lipid Membrane Structure and Behavior (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (1.1k citations), Structural Biology (36 citations), Oncology (459 citations), Biophysics (84 citations) and Molecular Biology (856 citations). Guo Fu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nicholas R. J. Gascoigne, Oreste Acuto, Jie Xiao, Carla Coltharp, Tao Huang, Zach Hensel, Jackson Buss, Wolfgang Paster, Vasily Rybakin and John A. H. Hoerter. Their work appears in journals such as Materials Science and Engineering C, Nature Immunology, Small, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.