Mark J. Churcher
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 5
- Genomics and Chromatin Dynamics 3
- Virology 10
- HIV Research and Treatment 8
- Co-authors
- Jonathan Karn (7 shared papers)Cyril F. Bourgeois (2 shared papers)Michael J. Gait (3 shared papers)Colin Dingwall (1 shared paper)François Hamy (1 shared paper)Catherine Isel (1 shared paper)Helena Browne (2 shared papers)P.J.G. Butler (1 shared paper)
- Journals
- Journal of Virology (3 papers)Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of General Virology (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United KingdomItalyFrance
In The Last Decade
Mark J. Churcher
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 61
- Virology 557
- Immunology 281
- Infectious Diseases 227
- Molecular Biology 853
- Epidemiology 284
Countries citing papers authored by Mark J. Churcher
This map shows the geographic impact of Mark J. Churcher'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 Mark J. Churcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Churcher more than expected).
Fields of papers citing papers by Mark J. Churcher
This network shows the impact of papers produced by Mark J. Churcher. 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 Mark J. Churcher. The network helps show where Mark J. Churcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Churcher, 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 | 1993 | 256 | |
| 2 | 2015 | 145 | |
| 3 | 2002 | 140 | |
| 4 | 1992 | 121 | |
| 5 | 2002 | 102 | |
| 6 | 1990 | 73 | |
| 7 | 1992 | 67 | |
| 8 | 2012 | 57 | |
| 9 | 1997 | 56 | |
| 10 | 1995 | 56 | |
| 11 | 1993 | 55 | |
| 12 | 2006 | 51 | |
| 13 | 1984 | 35 | |
| 14 | 2010 | 31 | |
| 15 | 1988 | 28 | |
| 16 | 1987 | 27 | |
| 17 | 2004 | 25 | |
| 18 | 2009 | 24 | |
| 19 | 2009 | 15 | |
| 20 | 1995 | 14 |
About Mark J. Churcher
Mark J. Churcher is a scholar working on Molecular Biology, Virology, Epidemiology, Ecology and Agronomy and Crop Science, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (5 papers), Genomics and Chromatin Dynamics (3 papers), Bacteriophages and microbial interactions (3 papers), Animal Disease Management and Epidemiology (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Virology (557 citations), Immunology (281 citations), Infectious Diseases (227 citations), Molecular Biology (853 citations) and Epidemiology (284 citations). Mark J. Churcher has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Jonathan Karn, Cyril F. Bourgeois, Michael J. Gait, Colin Dingwall, François Hamy, Catherine Isel, Helena Browne, P.J.G. Butler, Sheila M. Green and Tony Minson. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Journal of General Virology and Journal of Molecular Biology.
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.