Jun Gui
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune cells in cancer
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 9
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Serge Yu. Fuchs (9 shared papers)Sidong Xiong (4 shared papers)Kanstantsin V. Katlinski (5 shared papers)Constantinos Koumenis (3 shared papers)John Alan Diehl (3 shared papers)Hanjun Li (6 shared papers)Wei Xu (2 shared papers)Hallgeir Rui (3 shared papers)
- Journals
- Nature Communications (2 papers)Nature Cancer (2 papers)Cancer Immunology Research (2 papers)Cell Metabolism (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jun Gui
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Oncology 373
- Immunology 306
- Cancer Research 100
- Cell Biology 69
- Molecular Biology 228
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 202 | |
| 2 | 2019 | 138 | |
| 3 | 2018 | 96 | |
| 4 | 2021 | 91 | |
| 5 | 2024 | 76 | |
| 6 | 2024 | 68 | |
| 7 | 2015 | 64 | |
| 8 | 2012 | 58 | |
| 9 | 2020 | 56 | |
| 10 | 2022 | 49 | |
| 11 | 2021 | 45 | |
| 12 | 2022 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 2016 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2020 | 25 | |
| 17 | 2015 | 22 | |
| 18 | 2024 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 11 |
About Jun Gui
Jun Gui is a scholar working on Oncology, Immunology, Cardiology and Cardiovascular Medicine, Hematology and Cell Biology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Viral Infections and Immunology Research (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Immune cells in cancer (2 papers), TGF-β signaling in diseases (2 papers), Fibroblast Growth Factor Research (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Oncology (373 citations), Immunology (306 citations), Cancer Research (100 citations), Cell Biology (69 citations) and Molecular Biology (228 citations). Jun Gui has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Serge Yu. Fuchs, Sidong Xiong, Kanstantsin V. Katlinski, Constantinos Koumenis, John Alan Diehl, Hanjun Li, Wei Xu, Hallgeir Rui, Cegui Hu and Ruizhen Chen. Their work appears in journals such as Nature Communications, Nature Cancer, Cancer Immunology Research, Cell Metabolism and PLoS ONE.
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.