Xiaolan Fu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 29
- Immunotherapy and Immune Responses 17
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 9
- Complement system in diseases 3
-
- vaccines and immunoinformatics approaches 5
- Co-authors
- Yuzhang Wu (27 shared papers)Jinyu Zhang (2 shared papers)Liyun Zou (2 shared papers)Ying Wan (2 shared papers)Jinjun Zhang (2 shared papers)Jingyi Li (2 shared papers)Jingbo Zhang (2 shared papers)Liwei Lu (1 shared paper)
- Journals
- Immunological Investigations (3 papers)PLoS ONE (3 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesCroatia
In The Last Decade
Xiaolan Fu
41 papers receiving 939 citations
Peers
Comparison fields: 5 of 88
- Immunology 434
- Cancer Research 219
- Hepatology 89
- Oncology 200
- Molecular Biology 361
Countries citing papers authored by Xiaolan Fu
This map shows the geographic impact of Xiaolan 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 Xiaolan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Fu more than expected).
Fields of papers citing papers by Xiaolan Fu
This network shows the impact of papers produced by Xiaolan 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 Xiaolan Fu. The network helps show where Xiaolan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 207 | |
| 2 | 2019 | 90 | |
| 3 | 2019 | 65 | |
| 4 | 2015 | 60 | |
| 5 | 2013 | 51 | |
| 6 | 2011 | 41 | |
| 7 | 2011 | 40 | |
| 8 | 2012 | 31 | |
| 9 | 2011 | 31 | |
| 10 | 2012 | 21 | |
| 11 | 2009 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2015 | 20 | |
| 14 | 2011 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2009 | 16 | |
| 18 | 2009 | 15 | |
| 19 | 2007 | 15 | |
| 20 | 2010 | 15 |
About Xiaolan Fu
Xiaolan Fu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Hepatology, having authored 43 papers that have together received 947 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (9 papers), Hepatitis B Virus Studies (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), vaccines and immunoinformatics approaches (5 papers), Complement system in diseases (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Immunology (434 citations), Cancer Research (219 citations), Hepatology (89 citations), Oncology (200 citations) and Molecular Biology (361 citations). Xiaolan Fu has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Yuzhang Wu, Jinyu Zhang, Liyun Zou, Ying Wan, Jinjun Zhang, Jingyi Li, Jingbo Zhang, Liwei Lu, Hongli Liu and Bing Ni. Their work appears in journals such as Immunological Investigations, PLoS ONE, Frontiers in Immunology, The Journal of Immunology and European Journal of Immunology.
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.