Becky Batchelor

447 citations
5 papers · 189 · h-index 4

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • SARS-CoV-2 detection and testing 3
    • COVID-19 Clinical Research Studies 3
    • Parathyroid Disorders and Treatments 1

Becky Batchelor

5 papers receiving 187 citations

Peers

Becky Batchelor
Comparison fields: 5 of 37
  • Infectious Diseases 174
  • Modeling and Simulation 24
  • Neurology 24
  • Health 8
  • Obstetrics and Gynecology 7
Replace Isabelle Arm‐Vernez with:
Isabelle Arm‐Vernez Switzerland
Maria Squires United Kingdom
Sarah Ducat United States
Naomi Wilcox United States
Preshetha Kanagaiah United States
Mazuba Siamatu United States
Sai Priya Anand Canada
Raffaella Di Martino Italy
Victoria Giffin United States
Benjamin Chung United States
Becky Batchelor relative to Isabelle Arm‐Vernez Switzerland Isabelle Arm‐Vernez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Becky Batchelor

Since Specialization
Citations

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

Fields of papers citing papers by Becky Batchelor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2020153
2 202223
3 20226
4 19945
5 20152

About Becky Batchelor

Becky Batchelor is a scholar working on Infectious Diseases, Nephrology, Pulmonary and Respiratory Medicine, Epidemiology and Nutrition and Dietetics, having authored 5 papers that have together received 189 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Clinical Research Studies (3 papers), Hepatitis B Virus Studies (1 paper), Hepatitis C virus research (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Parathyroid Disorders and Treatments (1 paper) and Magnesium in Health and Disease (1 paper). The work is most often cited by research in Infectious Diseases (174 citations), Modeling and Simulation (24 citations), Neurology (24 citations), Health (8 citations) and Obstetrics and Gynecology (7 citations). Becky Batchelor has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Elizabeth Furrie, Helen Wise, Maria Squires, Kate Templeton, Sara Jenks, Paul D. Bieniasz, Théodora Hatziioannou, Frauke Muecksch, Claire Richardson and Julio C. C. Lorenzi. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Medical Virology, Clinical Chemistry, PLoS ONE and The Lancet Microbe.

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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