Chris Dawson
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 11
- Viral-associated cancers and disorders 9
-
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Lawrence S. Young (10 shared papers)Alan B. Rickinson (3 shared papers)Martin Rowe (2 shared papers)George S. Johnson (1 shared paper)S. A. Henderson (1 shared paper)David Huen (1 shared paper)Martyn Chidgey (1 shared paper)Aristides G. Eliopoulos (5 shared papers)
- Journals
- Oncogene (3 papers)Biochemical Society Transactions (2 papers)International Journal of Cancer (2 papers)Journal of Virology (1 paper)Nature (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chris Dawson
16 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Oncology 841
- Immunology 612
- Pathology and Forensic Medicine 248
- Epidemiology 385
- Infectious Diseases 216
Countries citing papers authored by Chris Dawson
This map shows the geographic impact of Chris Dawson'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 Chris Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Dawson more than expected).
Fields of papers citing papers by Chris Dawson
This network shows the impact of papers produced by Chris Dawson. 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 Chris Dawson. The network helps show where Chris Dawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Dawson, 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 | 482 | |
| 2 | 1992 | 189 | |
| 3 | CD40-induced growth inhibition in epithelial cells is mimicked by Epstein-Barr Virus-encoded LMP1: involvement of TRAF3 as a common mediator. | 1996 | 183 |
| 4 | 2002 | 142 | |
| 5 | 2007 | 141 | |
| 6 | 1989 | 130 | |
| 7 | 1998 | 117 | |
| 8 | 2005 | 99 | |
| 9 | 2000 | 96 | |
| 10 | 1984 | 94 | |
| 11 | 2009 | 85 | |
| 12 | 2005 | 48 | |
| 13 | 1999 | 17 | |
| 14 | 2004 | 15 | |
| 15 | 2000 | 2 | |
| 16 | 1997 | 1 |
About Chris Dawson
Chris Dawson is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Lymphoma Diagnosis and Treatment (4 papers), NF-κB Signaling Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), Parvovirus B19 Infection Studies (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Oncology (841 citations), Immunology (612 citations), Pathology and Forensic Medicine (248 citations), Epidemiology (385 citations) and Infectious Diseases (216 citations). Chris Dawson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Lawrence S. Young, Alan B. Rickinson, Martin Rowe, George S. Johnson, S. A. Henderson, David Huen, Martyn Chidgey, Aristides G. Eliopoulos, Keith Brown and Neil J. Gallagher. Their work appears in journals such as Oncogene, Biochemical Society Transactions, International Journal of Cancer, Journal of Virology and Nature.
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.