A. J. E. Flower

848 citations
10 papers · 541 · h-index 8

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
    • Polyomavirus and related diseases 3

A. J. E. Flower

10 papers receiving 503 citations

Peers

A. J. E. Flower
Comparison fields: 5 of 73
  • Health 140
  • Epidemiology 274
  • Infectious Diseases 147
  • Microbiology 51
  • Toxicology 17
Replace M Rush with:
M Rush United States
Adrienne Guignard Belgium
Ahmad Razmpour United States
Alexis Pillsbury Australia
R Thorpe
Germano Ferreira United Kingdom
Murray Kimmel United States
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Anna Maria Iorio Italy
A. J. E. Flower relative to M Rush United States M Rush's profile →
Citations per field
00.5×1.5×
M Rush · 1×
Citations per year

Countries citing papers authored by A. J. E. Flower

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with A. J. E. Flower Line = papers co-authored together A. J. E. Flower links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1995242
2 1993138
3
The use of vidarabine in the treatment of human polyomavirus associated acute haemorrhagic cystitis.
199140
4 197735
5 199233
6 199418
7 199316
8
Treatment of renal transplant-associated cytomegalovirus infection with ganciclovir.
19909
9 19917
10 19853

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 541 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 (140 citations), Epidemiology (274 citations), Infectious Diseases (147 citations), Microbiology (51 citations) and Toxicology (17 citations). A. J. E. Flower has collaborated with scholars based in United Kingdom, Singapore and Canada. Frequent co-authors include A. Colville, Paddy Farrington, James D. Nash, Simon Pugh, Emma R. Miller, P Morgan-Capner, M Rush, R.E. Tettmar, L. Macfarlane and Claire Chapman. Their work appears in journals such as The Lancet, QJM, Epidemiology and Infection, Nephrology Dialysis Transplantation and The Journal of Infectious Diseases.

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.

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