Claire E. Bowring

18 papers receiving 899 citations

Peers

Claire E. Bowring
Comparison fields: 5 of 77
  • Orthopedics and Sports Medicine 250
  • Pathology and Forensic Medicine 167
  • Molecular Biology 247
  • Modeling and Simulation 18
  • Pharmacology 18
Replace Riitta Niinimäki with:
Riitta Niinimäki Finland
Jos P.M. Bökkerink Netherlands
Norbert Jorch Germany
Melody J. Cunningham United States
H. C. Van Paassen Netherlands
Dorthe Hartwell Denmark
Peder Skov Wehner Denmark
Christine W. Lary United States
Myroslaw M. Hreshchyshyn United States
Gerhard Hawa Austria
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Citations per field
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Citations per year

Countries citing papers authored by Claire E. Bowring

Since Specialization
Citations

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

Fields of papers citing papers by Claire E. Bowring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire E. Bowring. 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 Claire E. Bowring. The network helps show where Claire E. Bowring may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013252
2
TMS1, a novel proapoptotic caspase recruitment domain protein, is a target of methylation-induced gene silencing in human breast cancers.
2000223
3 2014156
4 200458
5 201155
6 201449
7 202027
8 202026
9 201119
10 202113
11 20019
12 20208
13 20217
14 20155
15 20214
16 20234
17 20203
18 20213
19 20091

About Claire E. Bowring

Claire E. Bowring is a scholar working on Modeling and Simulation, Clinical Psychology, Neurology, Pathology and Forensic Medicine and Infectious Diseases, having authored 19 papers that have together received 922 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), COVID-19 and Mental Health (4 papers), Long-Term Effects of COVID-19 (3 papers), Vitamin D Research Studies (3 papers), Menopause: Health Impacts and Treatments (2 papers), SARS-CoV-2 detection and testing (2 papers), Epigenetics and DNA Methylation (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (250 citations), Pathology and Forensic Medicine (167 citations), Molecular Biology (247 citations), Modeling and Simulation (18 citations) and Pharmacology (18 citations). Claire E. Bowring has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Roger M. Francis, Peter L. Selby, Paula M. Vertino, Beth B. McConnell, Carlton D. Donald, Stephen T. Warren, Alun Cooper, Eugene Vincent McCloskey, John А. Kanis and David Marsh. Their work appears in journals such as Wellcome Open Research, Maturitas, Journal of Medicinal Chemistry, Age and Ageing and Biochemical and Biophysical Research 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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