Xun Gui
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 8
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- Immune Cell Function and Interaction 5
- Immune cells in cancer 2
- Co-authors
- Zhiqiang An (12 shared papers)Yasuaki Anami (3 shared papers)Kyoji Tsuchikama (3 shared papers)Wei Xiong (4 shared papers)Yan Liu (1 shared paper)Xiaochun Chen (1 shared paper)Timothy Y. Huang (1 shared paper)Guojun Bu (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Reports Medicine (2 papers)Cancer Immunology Research (2 papers)Journal of Medical Virology (2 papers)Antiviral Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xun Gui
31 papers receiving 1.9k citations
Xun Gui's Hit Papers
Peers
Comparison fields: 5 of 71
- Neurology 373
- Immunology 302
- Oncology 311
- Hematology 172
- Physiology 286
Countries citing papers authored by Xun Gui
This map shows the geographic impact of Xun Gui'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 Xun Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Gui more than expected).
Fields of papers citing papers by Xun Gui
This network shows the impact of papers produced by Xun Gui. 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 Xun Gui. The network helps show where Xun Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun Gui, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TREM2 Is a Receptor for β-Amyloid that Mediates Microglial Function Hit paper breakdown → | 2018 | 594 |
| 2 | 2018 | 248 | |
| 3 | 2018 | 191 | |
| 4 | 2018 | 114 | |
| 5 | 2017 | 81 | |
| 6 | 2019 | 69 | |
| 7 | 2020 | 66 | |
| 8 | 2020 | 50 | |
| 9 | 2021 | 50 | |
| 10 | 2020 | 48 | |
| 11 | 2022 | 42 | |
| 12 | 2022 | 41 | |
| 13 | 2021 | 32 | |
| 14 | 2022 | 30 | |
| 15 | 2025 | 30 | |
| 16 | 2017 | 25 | |
| 17 | 2017 | 19 | |
| 18 | 2023 | 19 | |
| 19 | 2010 | 18 | |
| 20 | 2018 | 18 |
About Xun Gui
Xun Gui is a scholar working on Oncology, Immunology, Hematology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (5 papers), Acute Myeloid Leukemia Research (4 papers), Influenza Virus Research Studies (4 papers), Cytomegalovirus and herpesvirus research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Neurology (373 citations), Immunology (302 citations), Oncology (311 citations), Hematology (172 citations) and Physiology (286 citations). Xun Gui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiqiang An, Yasuaki Anami, Kyoji Tsuchikama, Wei Xiong, Yan Liu, Xiaochun Chen, Timothy Y. Huang, Guojun Bu, Huaxi Xu and Juan Piña-Crespo. Their work appears in journals such as Nature Communications, Cell Reports Medicine, Cancer Immunology Research, Journal of Medical Virology and Antiviral 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.