Stephen Goodbourn
Impact in
- Immunology top 0.2%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
Papers in
- Immunology 48
- interferon and immune responses 44
-
- Viral Infections and Vectors 20
- Co-authors
- Richard E. RandallTom ManiatisJanice A. FischerD. F. YoungKay ChildsJ. AndrejevaNicola StockT. S. Carlos
- Journals
- Journal of Virology (23 papers)Journal of General Virology (14 papers)Virology (11 papers)Nucleic Acids Research (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Stephen Goodbourn
92 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 5.2k
- Infectious Diseases 2.8k
- Agronomy and Crop Science 1.1k
- Epidemiology 3.5k
- Animal Science and Zoology 1000
Countries citing papers authored by Stephen Goodbourn
This map shows the geographic impact of Stephen Goodbourn'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 Stephen Goodbourn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Goodbourn more than expected).
Fields of papers citing papers by Stephen Goodbourn
This network shows the impact of papers produced by Stephen Goodbourn. 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 Stephen Goodbourn. The network helps show where Stephen Goodbourn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Goodbourn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 36 | |
| 2 | 2019 | 67 | |
| 3 | 2017 | 25 | |
| 4 | 2017 | 28 | |
| 5 | 2013 | 158 | |
| 6 | 2011 | 35 | |
| 7 | 2011 | 14 | |
| 8 | 2009 | 71 | |
| 9 | 2007 | 29 | |
| 10 | 2006 | 256 | |
| 11 | 2005 | 87 | |
| 12 | 2005 | 8 | |
| 13 | 2002 | 163 | |
| 14 | 2002 | 55 | |
| 15 | 2000 | 165 | |
| 16 | 1998 | 85 | |
| 17 | 1995 | 10 | |
| 18 | 1994 | 10 | |
| 19 | 1993 | 174 | |
| 20 | 1992 | 20 |
About Stephen Goodbourn
Stephen Goodbourn is a scholar working on Immunology, Infectious Diseases, Epidemiology, Agronomy and Crop Science and Animal Science and Zoology, having authored 93 papers that have together received 10.7k indexed citations. Recurring topics across this work include interferon and immune responses (44 papers), Virology and Viral Diseases (26 papers), Viral Infections and Vectors (20 papers), Virus-based gene therapy research (12 papers), Respiratory viral infections research (12 papers), Animal Disease Management and Epidemiology (12 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Immunology (5.2k citations), Infectious Diseases (2.8k citations), Agronomy and Crop Science (1.1k citations), Epidemiology (3.5k citations) and Animal Science and Zoology (1000 citations). Stephen Goodbourn has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Richard E. Randall, Tom Maniatis, Janice A. Fischer, D. F. Young, Kay Childs, J. Andrejeva, Nicola Stock, T. S. Carlos, John W. McCauley and Peter H. King. Their work appears in journals such as Journal of Virology, Journal of General Virology, Virology, Nucleic Acids Research and Journal of Biological Chemistry.
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.