Xiaorui Fu
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lymphoma Diagnosis and Treatment 42
- Oncology 28
- Viral-associated cancers and disorders 14
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Yu Chang (39 shared papers)Zhaoming Li (35 shared papers)Zhenchang Sun (31 shared papers)Lei Zhang (32 shared papers)Jingjing Wu (28 shared papers)Xinhua Wang (30 shared papers)Mingzhi Zhang (28 shared papers)Ling Li (34 shared papers)
- Journals
- Blood (3 papers)Journal of Clinical Oncology (3 papers)Scientific Reports (3 papers)Oncotarget (2 papers)Leukemia Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaorui Fu
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Pathology and Forensic Medicine 591
- Oncology 500
- Immunology 304
- Cancer Research 193
- Genetics 100
Countries citing papers authored by Xiaorui Fu
This map shows the geographic impact of Xiaorui 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 Xiaorui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Fu more than expected).
Fields of papers citing papers by Xiaorui Fu
This network shows the impact of papers produced by Xiaorui 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 Xiaorui Fu. The network helps show where Xiaorui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 155 | |
| 2 | 2016 | 103 | |
| 3 | 2020 | 68 | |
| 4 | 2020 | 44 | |
| 5 | 2014 | 43 | |
| 6 | 2017 | 42 | |
| 7 | 2019 | 39 | |
| 8 | 2018 | 31 | |
| 9 | 2013 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2024 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2017 | 21 | |
| 18 | 2018 | 21 | |
| 19 | 2014 | 21 | |
| 20 | 2020 | 18 |
About Xiaorui Fu
Xiaorui Fu is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Cancer Research, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (42 papers), Viral-associated cancers and disorders (14 papers), Immune Cell Function and Interaction (14 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), T-cell and Retrovirus Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (591 citations), Oncology (500 citations), Immunology (304 citations), Cancer Research (193 citations) and Genetics (100 citations). Xiaorui Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu Chang, Zhaoming Li, Zhenchang Sun, Lei Zhang, Jingjing Wu, Xinhua Wang, Mingzhi Zhang, Ling Li, Mingzhi Zhang and Feifei Nan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Scientific Reports, Oncotarget and Leukemia 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.