Cath Arnold
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- HIV/AIDS drug development and treatment
Papers in
-
- Tuberculosis Research and Epidemiology 7
- HIV/AIDS drug development and treatment 3
- Epidemiology 10
- Mycobacterium research and diagnosis 7
- Virology and Viral Diseases 2
- Co-authors
- Jane A. McKeating (4 shared papers)Onn Min Kon (1 shared paper)Timothy D. McHugh (2 shared papers)Giovanni Satta (1 shared paper)Marc Lipman (1 shared paper)Peter Balfe (4 shared papers)C Shotton (1 shared paper)Quentin J. Sattentau (1 shared paper)
- Journals
- Journal of Virology (3 papers)Clinical Microbiology and Infection (2 papers)Infection Genetics and Evolution (2 papers)BMC Microbiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomSwedenSpain
In The Last Decade
Cath Arnold
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 43
- Virology 131
- Infectious Diseases 224
- Epidemiology 196
- Immunology 76
- Molecular Medicine 14
Countries citing papers authored by Cath Arnold
This map shows the geographic impact of Cath Arnold'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 Cath Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cath Arnold more than expected).
Fields of papers citing papers by Cath Arnold
This network shows the impact of papers produced by Cath Arnold. 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 Cath Arnold. The network helps show where Cath Arnold may publish in the future.
Co-authors
The 25 scholars most cited alongside Cath Arnold, 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 | 2017 | 95 | |
| 2 | 1995 | 52 | |
| 3 | 1997 | 32 | |
| 4 | 1998 | 28 | |
| 5 | 2006 | 25 | |
| 6 | 1995 | 22 | |
| 7 | 2010 | 21 | |
| 8 | 2010 | 20 | |
| 9 | 1996 | 20 | |
| 10 | 2006 | 18 | |
| 11 | 2018 | 9 | |
| 12 | 2004 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2017 | 3 |
About Cath Arnold
Cath Arnold is a scholar working on Infectious Diseases, Epidemiology, Surgery, Virology and Immunology, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (7 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Infectious Diseases and Tuberculosis (4 papers), Bacteriophages and microbial interactions (3 papers), HIV/AIDS drug development and treatment (3 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Virology (131 citations), Infectious Diseases (224 citations), Epidemiology (196 citations), Immunology (76 citations) and Molecular Medicine (14 citations). Cath Arnold has collaborated with scholars based in United Kingdom, Sweden and Spain. Frequent co-authors include Jane A. McKeating, Onn Min Kon, Timothy D. McHugh, Giovanni Satta, Marc Lipman, Peter Balfe, C Shotton, Quentin J. Sattentau, Joseph Sodroski and Saheer E. Gharbia. Their work appears in journals such as Journal of Virology, Clinical Microbiology and Infection, Infection Genetics and Evolution, BMC Microbiology and Scientific Reports.
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.