A. J. E. Flower
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Epidemiology top 10%
- Virology and Viral Diseases
- Influenza Virus Research Studies
- Hepatitis B Virus Studies
Papers in
-
- Hepatitis B Virus Studies 4
- Cytomegalovirus and herpesvirus research 2
- Oncology 3
- Polyomavirus and related diseases 3
- Co-authors
- Emma R. Miller (2 shared papers)Simon Pugh (2 shared papers)Paddy Farrington (2 shared papers)A. Colville (2 shared papers)James D. Nash (2 shared papers)M Rush (1 shared paper)P Morgan-Capner (1 shared paper)R.E. Tettmar (1 shared paper)
- Journals
- The Lancet (2 papers)QJM (1 paper)The Journal of Infectious Diseases (1 paper)Epidemiology and Infection (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- United KingdomSingaporeCanada
In The Last Decade
A. J. E. Flower
10 papers receiving 518 citations
Peers
Comparison fields: 5 of 74
- Health 152
- Epidemiology 302
- Infectious Diseases 168
- Microbiology 52
- Toxicology 20
Countries citing papers authored by A. J. E. Flower
This map shows the geographic impact of A. J. E. Flower'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 A. J. E. Flower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. E. Flower more than expected).
Fields of papers citing papers by A. J. E. Flower
This network shows the impact of papers produced by A. J. E. Flower. 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 A. J. E. Flower. The network helps show where A. J. E. Flower may publish in the future.
Co-authors
The 25 scholars most cited alongside A. J. E. Flower, 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 | 1995 | 256 | |
| 2 | 1993 | 158 | |
| 3 | The use of vidarabine in the treatment of human polyomavirus associated acute haemorrhagic cystitis. | 1991 | 41 |
| 4 | 1977 | 39 | |
| 5 | 1992 | 33 | |
| 6 | 1994 | 19 | |
| 7 | 1993 | 19 | |
| 8 | Treatment of renal transplant-associated cytomegalovirus infection with ganciclovir. | 1990 | 10 |
| 9 | 1991 | 7 | |
| 10 | 1985 | 3 |
About A. J. E. Flower
A. J. E. Flower is a scholar working on Epidemiology, Oncology, Hematology, Immunology and Hepatology, having authored 10 papers that have together received 585 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Polyomavirus and related diseases (3 papers), Blood groups and transfusion (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Diabetes and associated disorders (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Health (152 citations), Epidemiology (302 citations), Infectious Diseases (168 citations), Microbiology (52 citations) and Toxicology (20 citations). A. J. E. Flower has collaborated with scholars based in United Kingdom, Singapore and Canada. Frequent co-authors include Emma R. Miller, Simon Pugh, Paddy Farrington, A. Colville, James D. Nash, M Rush, P Morgan-Capner, R.E. Tettmar, L. Macfarlane and S. T. S. Durrant. Their work appears in journals such as The Lancet, QJM, The Journal of Infectious Diseases, Epidemiology and Infection and Nephrology Dialysis Transplantation.
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.