Brian Skaug
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
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- Ubiquitin and proteasome pathways 3
- RNA regulation and disease 2
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- Systemic Sclerosis and Related Diseases 9
- Co-authors
- Zhijian J. Chen (7 shared papers)Hui Zheng (2 shared papers)Qiu‐Xing Jiang (2 shared papers)Lijun Sun (2 shared papers)Fajian Hou (2 shared papers)Xiaomo Jiang (1 shared paper)Shervin Assassi (10 shared papers)Ming Xu (1 shared paper)
- Journals
- Cell (3 papers)The Journal of Immunology (2 papers)Annals of the Rheumatic Diseases (2 papers)Arthritis Care & Research (2 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Brian Skaug
22 papers receiving 2.5k citations
Brian Skaug's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.4k
- Cancer Research 518
- Molecular Biology 1.4k
- Oncology 273
- Infectious Diseases 185
Countries citing papers authored by Brian Skaug
This map shows the geographic impact of Brian Skaug'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 Brian Skaug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Skaug more than expected).
Fields of papers citing papers by Brian Skaug
This network shows the impact of papers produced by Brian Skaug. 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 Brian Skaug. The network helps show where Brian Skaug may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Skaug, 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 | MAVS Forms Functional Prion-like Aggregates to Activate and Propagate Antiviral Innate Immune Response Hit paper breakdown → | 2011 | 1039 |
| 2 | 2009 | 410 | |
| 3 | 2009 | 207 | |
| 4 | 2011 | 199 | |
| 5 | 2010 | 183 | |
| 6 | 2011 | 133 | |
| 7 | 2019 | 74 | |
| 8 | 2019 | 69 | |
| 9 | 2006 | 35 | |
| 10 | 2023 | 31 | |
| 11 | 2019 | 23 | |
| 12 | 2011 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 14 | |
| 16 | Antinuclear antibodies in the general population: positive association with inflammatory and vascular biomarkers but not traditional cardiovascular risk factors. | 2019 | 14 |
| 17 | 2018 | 11 | |
| 18 | 2012 | 9 | |
| 19 | 2016 | 5 | |
| 20 | 2023 | 5 |
About Brian Skaug
Brian Skaug is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Oncology and Rheumatology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (9 papers), interferon and immune responses (6 papers), NF-κB Signaling Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and B-cell Immunology (2 papers), Cancer-related Molecular Pathways (2 papers), Immune Cell Function and Interaction (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Immunology (1.4k citations), Cancer Research (518 citations), Molecular Biology (1.4k citations), Oncology (273 citations) and Infectious Diseases (185 citations). Brian Skaug has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zhijian J. Chen, Hui Zheng, Qiu‐Xing Jiang, Lijun Sun, Fajian Hou, Xiaomo Jiang, Shervin Assassi, Ming Xu, Wenwen Zeng and Averil Ma. Their work appears in journals such as Cell, The Journal of Immunology, Annals of the Rheumatic Diseases, Arthritis Care & Research and Molecular 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.