Barnaby Flower

962 citations
11 papers · 240 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Antifungal resistance and susceptibility
    • SARS-CoV-2 detection and testing
    • COVID-19 epidemiological studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2
    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 2

Barnaby Flower

9 papers receiving 237 citations

Peers

Barnaby Flower
Comparison fields: 5 of 59
  • Infectious Diseases 178
  • Modeling and Simulation 34
  • Hepatology 26
  • Health 22
  • Epidemiology 80
Replace Annapaola Callegaro with:
Annapaola Callegaro Italy
Yu Mao China
Haya Altawalah Kuwait
Shalini Desai Switzerland
Erin A. Goecker United States
Nokukhanya Msomi South Africa
Yan Mardian Indonesia
Jianming Zhou China
Ayelet Keren‐Naus Israel
Licita Schreiber Israel
Barnaby Flower relative to Annapaola Callegaro Italy Annapaola Callegaro's profile →
Citations per field
00.5×1.5×2.4×
Annapaola Callegaro · 1×
Citations per year

Countries citing papers authored by Barnaby Flower

Since Specialization
Citations

This map shows the geographic impact of Barnaby 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 Barnaby Flower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barnaby Flower more than expected).

Fields of papers citing papers by Barnaby Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barnaby 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 Barnaby Flower. The network helps show where Barnaby Flower may publish in the future.

Co-authors

The 25 scholars most cited alongside Barnaby 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 Barnaby Flower Line = papers co-authored together Barnaby Flower links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202290
2 202163
3 202245
4 202212
5 202210
6 20199
7 20118
8 20212
9 20231
10 20240
11 20170

About Barnaby Flower

Barnaby Flower is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Modeling and Simulation and Surgery, having authored 11 papers that have together received 240 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Malaria Research and Control (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (178 citations), Modeling and Simulation (34 citations), Hepatology (26 citations), Health (22 citations) and Epidemiology (80 citations). Barnaby Flower has collaborated with scholars based in United Kingdom, Vietnam and Cambodia. Frequent co-authors include Jeremy Day, Graham Cooke, William Barclay, Helen Ward, Deborah Ashby, Steven Riley, Christina Atchison, Ara Darzi, Christl A. Donnelly and Matthew Whitaker. Their work appears in journals such as The Lancet Regional Health - Western Pacific, Drugs, Nature Communications, Research Involvement and Engagement and Journal of Viral Hepatitis.

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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