Ruth C. E. Bowyer

42 papers receiving 2.6k citations

Ruth C. E. Bowyer's Hit Papers

Real-time tracking of self-reported symptoms to predict potential COVID-19 2020 · 855 citations
8550+2+5Years since publication250500750

Peers

Ruth C. E. Bowyer
Comparison fields: 5 of 153
  • Sensory Systems 190
  • Biological Psychiatry 78
  • Geriatrics and Gerontology 81
  • Infectious Diseases 409
  • Modeling and Simulation 105
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Countries citing papers authored by Ruth C. E. Bowyer

Since Specialization
Citations

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

Fields of papers citing papers by Ruth C. E. Bowyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth C. E. Bowyer. 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 Ruth C. E. Bowyer. The network helps show where Ruth C. E. Bowyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-time tracking of self-reported symptoms to predict potential COVID-19
Hit paper breakdown →
2020855
2
Gut microbiota associations with common diseases and prescription medications in a population-based cohort
Hit paper breakdown →
2018428
3 2020134
4 2019105
5 2019103
6 201896
7 201894
8 202069
9 202067
10 202265
11 202457
12 201855
13 201748
14 201946
15 201843
16 202037
17 202131
18 202230
19 202129
20 202225

About Ruth C. E. Bowyer

Ruth C. E. Bowyer is a scholar working on Molecular Biology, Physiology, Neurology, Clinical Psychology and Periodontics, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), Oral microbiology and periodontitis research (4 papers), Long-Term Effects of COVID-19 (4 papers), Diet and metabolism studies (4 papers), Nutrition and Health in Aging (3 papers), Salivary Gland Disorders and Functions (3 papers), Frailty in Older Adults (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Sensory Systems (190 citations), Biological Psychiatry (78 citations), Geriatrics and Gerontology (81 citations), Infectious Diseases (409 citations) and Modeling and Simulation (105 citations). Ruth C. E. Bowyer has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Claire J. Steves, Tim D. Spector, Cristina Menni, Frances M. K. Williams, Matthew Jackson, Mary Ní Lochlainn, Maxim B. Freidin, Serena Verdi, Mario Falchi and Jordana T. Bell. Their work appears in journals such as Age and Ageing, The Science of The Total Environment, British Journal of Educational Psychology, Twin Research and Human Genetics and Nature Communications.

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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