Jun Gui
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- interferon and immune responses
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- Immune Cell Function and Interaction 6
- interferon and immune responses 5
- Immunotherapy and Immune Responses 4
- Immune cells in cancer 4
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Sidong Xiong (4 shared papers)Serge Y. Fuchs (9 shared papers)Yue Yan (3 shared papers)Kanstantsin V. Katlinski (5 shared papers)Wei Xu (2 shared papers)Ruizhen Chen (2 shared papers)Constantinos Koumenis (3 shared papers)J. Alan Diehl (3 shared papers)
- Journals
- Nature Communications (2 papers)Advanced Science (2 papers)Cancer Immunology Research (2 papers)PLoS ONE (2 papers)Cell Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Jun Gui
22 papers receiving 780 citations
Peers
Comparison fields: 5 of 80
- Immunology 394
- Oncology 281
- Cancer Research 83
- Cell Biology 63
- Cardiology and Cardiovascular Medicine 84
Countries citing papers authored by Jun Gui
This map shows the geographic impact of Jun 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 Jun Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gui more than expected).
Fields of papers citing papers by Jun Gui
This network shows the impact of papers produced by Jun 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 Jun Gui. The network helps show where Jun Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2018 | 84 | |
| 3 | 2021 | 71 | |
| 4 | 2012 | 58 | |
| 5 | 2024 | 48 | |
| 6 | 2015 | 48 | |
| 7 | 2024 | 47 | |
| 8 | 2021 | 43 | |
| 9 | 2016 | 28 | |
| 10 | 2010 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2022 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Jun Gui
Jun Gui is a scholar working on Immunology, Oncology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 23 papers that have together received 784 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), interferon and immune responses (5 papers), Viral Infections and Immunology Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (4 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology (394 citations), Oncology (281 citations), Cancer Research (83 citations), Cell Biology (63 citations) and Cardiology and Cardiovascular Medicine (84 citations). Jun Gui has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Sidong Xiong, Serge Y. Fuchs, Yue Yan, Kanstantsin V. Katlinski, Wei Xu, Ruizhen Chen, Constantinos Koumenis, J. Alan Diehl, Hallgeir Rui and Ellen Puré. Their work appears in journals such as Nature Communications, Advanced Science, Cancer Immunology Research, PLoS ONE and Cell Metabolism.
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.