Xun Gui
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
- Immunology 14
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
- Immune cells in cancer 3
- Oncology 10
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Ningyan Zhang (12 shared papers)Zhiqiang An (12 shared papers)Kyoji Tsuchikama (3 shared papers)Yasuaki Anami (3 shared papers)Wei Xiong (3 shared papers)Bing Zhu (1 shared paper)Guojun Bu (1 shared paper)Xiaoguang Li (1 shared paper)
- Journals
- Journal of Medical Virology (2 papers)Molecular Cancer Therapeutics (1 paper)npj Precision Oncology (1 paper)Molecular Therapy (1 paper)Sensors (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xun Gui
28 papers receiving 1.5k citations
Xun Gui's Hit Papers
Peers
Comparison fields: 5 of 108
- Neurology 399
- Biological Psychiatry 78
- Infectious Diseases 327
- Immunology 358
- Oncology 306
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 31 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 | 543 |
| 2 | 1991 | 328 | |
| 3 | 2018 | 176 | |
| 4 | 2018 | 103 | |
| 5 | 2017 | 78 | |
| 6 | 2016 | 56 | |
| 7 | 2020 | 45 | |
| 8 | 2021 | 41 | |
| 9 | 2022 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 23 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2013 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2024 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2010 | 8 |
About Xun Gui
Xun Gui is a scholar working on Immunology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Influenza Virus Research Studies (5 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (4 papers), Respiratory viral infections research (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Neurology (399 citations), Biological Psychiatry (78 citations), Infectious Diseases (327 citations), Immunology (358 citations) and Oncology (306 citations). Xun Gui has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ningyan Zhang, Zhiqiang An, Kyoji Tsuchikama, Yasuaki Anami, Wei Xiong, Bing Zhu, Guojun Bu, Xiaoguang Li, Yu Sun and Xilin Wu. Their work appears in journals such as Journal of Medical Virology, Molecular Cancer Therapeutics, npj Precision Oncology, Molecular Therapy and Sensors.
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.