Kejun Guo
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- interferon and immune responses
- T-cell and B-cell Immunology
Papers in
- Virology 28
- HIV Research and Treatment 28
- Immunology 22
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 4
- Co-authors
- Mario L. Santiago (33 shared papers)Bradley S. Barrett (14 shared papers)Kim J. Hasenkrug (8 shared papers)Stephanie M. Dillon (11 shared papers)Cara C. Wilson (10 shared papers)Martin D. McCarter (5 shared papers)Eric Lee (4 shared papers)Cody J. Warren (3 shared papers)
- Journals
- PLoS Pathogens (5 papers)Virology (5 papers)Journal of Virology (4 papers)Poultry Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Kejun Guo
41 papers receiving 984 citations
Peers
Comparison fields: 5 of 75
- Virology 387
- Immunology 399
- Infectious Diseases 250
- Epidemiology 302
- Biological Psychiatry 18
Countries citing papers authored by Kejun Guo
This map shows the geographic impact of Kejun Guo'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 Kejun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Guo more than expected).
Fields of papers citing papers by Kejun Guo
This network shows the impact of papers produced by Kejun Guo. 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 Kejun Guo. The network helps show where Kejun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Guo, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2016 | 121 | |
| 3 | 2022 | 74 | |
| 4 | 2015 | 67 | |
| 5 | 2016 | 54 | |
| 6 | 2018 | 47 | |
| 7 | 2012 | 42 | |
| 8 | 2011 | 33 | |
| 9 | 2014 | 33 | |
| 10 | 2017 | 33 | |
| 11 | 2011 | 31 | |
| 12 | 2015 | 30 | |
| 13 | 2017 | 26 | |
| 14 | 2016 | 24 | |
| 15 | 2015 | 22 | |
| 16 | 2020 | 16 | |
| 17 | 2012 | 16 | |
| 18 | 2009 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2024 | 14 |
About Kejun Guo
Kejun Guo is a scholar working on Virology, Immunology, Epidemiology, Molecular Biology and Infectious Diseases, having authored 43 papers that have together received 992 indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers), Cytomegalovirus and herpesvirus research (11 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers), Immunotherapy and Immune Responses (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Virology (387 citations), Immunology (399 citations), Infectious Diseases (250 citations), Epidemiology (302 citations) and Biological Psychiatry (18 citations). Kejun Guo has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Mario L. Santiago, Bradley S. Barrett, Kim J. Hasenkrug, Stephanie M. Dillon, Cara C. Wilson, Martin D. McCarter, Eric Lee, Cody J. Warren, Dohun Pyeon and Joseph A. Westrich. Their work appears in journals such as PLoS Pathogens, Virology, Journal of Virology, Poultry Science and Proceedings of the National Academy of Sciences.
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.