Lijun Sun
- Immunology top 0.02%
- Molecular Biology top 0.2%
- Infectious Diseases top 0.1%
- Epidemiology top 0.5%
- Cancer Research top 0.5%
- Co-authors
- Zhijian J. ChenJiaxi WuXiang ChenFenghe DuRashu B. SethChee-Kwee EaQi ChenChuo Chen
- Topics
- interferon and immune responses (31 papers)Immune Response and Inflammation (13 papers)NF-κB Signaling Pathways (7 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Lijun Sun
61 papers receiving 20.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 16.2k
- Molecular Biology 10.0k
- Infectious Diseases 4.6k
- Epidemiology 3.0k
- Cancer Research 2.8k
Countries citing papers authored by Lijun Sun
This map shows the geographic impact of Lijun Sun'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 Lijun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijun Sun more than expected).
Fields of papers citing papers by Lijun Sun
This network shows the impact of papers produced by Lijun Sun. 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 Lijun Sun. The network helps show where Lijun Sun may publish in the future.
Co-authorship network of co-authors of Lijun Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Sun. A scholar is included among the top collaborators of Lijun Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lijun Sun. Lijun Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 53 | |
| 7 | 20 | |
| 8 | 0 | |
| 9 | 66 | |
| 10 | Regulation and function of the cGAS–STING pathway of cytosolic DNA sensingbreakdown → | 1626 |
| 11 | Cyclic GMP-AMP Synthase Is an Innate Immune Sensor of HIV and Other Retrovirusesbreakdown → | 797 |
| 12 | Cyclic GMP-AMP Containing Mixed Phosphodiester Linkages Is An Endogenous High-Affinity Ligand for STINGbreakdown → | 822 |
| 13 | Cyclic GMP-AMP Is an Endogenous Second Messenger in Innate Immune Signaling by Cytosolic DNAbreakdown → | 1901 |
| 14 | Cyclic GMP-AMP Synthase Is a Cytosolic DNA Sensor That Activates the Type I Interferon Pathwaybreakdown → | 3602 |
| 15 | 17 | |
| 16 | 498 | |
| 17 | 447 | |
| 18 | 466 | |
| 19 | 382 | |
| 20 | Hepatitis C virus protease NS3/4A cleaves mitochondrial antiviral signaling protein off the mitochondria to evade innate immunitybreakdown → | 666 |
About Lijun Sun
Lijun Sun is a scholar working on Immunology, Cancer Research and Virology, having authored 64 papers that have together received 20.6k indexed citations. Recurring topics across this work include interferon and immune responses (31 papers), Immune Response and Inflammation (13 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Immunology (16.2k citations), Infectious Diseases (4.6k citations) and Cancer Research (2.8k citations). Lijun Sun has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Zhijian J. Chen, Jiaxi Wu, Xiang Chen, Fenghe Du, Rashu B. Seth, Chee-Kwee Ea, Qi Chen, Chuo Chen, Heping Shi and Xiao-Dong Li. Their work appears in journals such as Nature, Science and Cell.
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.