Sarah Barker
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- Michael HumphreyMayo H. SoleyGerry RaymanRajesh RajendranLW TurnbullM. MakiuchiAlvena KureshiAmandeep Goyal
- Topics
- Chronic Disease Management Strategies (2 papers)Clinical practice guidelines implementation (1 paper)Radiomics and Machine Learning in Medical Imaging (1 paper)
- Cited by
- Endocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child HealthBioengineering
- Journals
- CirculationJournal of Clinical InvestigationJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United KingdomUnited States
In The Last Decade
Sarah Barker
6 papers receiving 272 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 169
- Molecular Biology 46
- Pediatrics, Perinatology and Child Health 30
- Radiology, Nuclear Medicine and Imaging 28
- Physiology 26
Countries citing papers authored by Sarah Barker
This map shows the geographic impact of Sarah Barker'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 Sarah Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Barker more than expected).
Fields of papers citing papers by Sarah Barker
This network shows the impact of papers produced by Sarah Barker. 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 Sarah Barker. The network helps show where Sarah Barker may publish in the future.
Co-authorship network of co-authors of Sarah Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Barker. A scholar is included among the top collaborators of Sarah Barker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Barker. Sarah Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | Mechanical Properties of Transversalis Fascia and Hernia formation | 2 |
| 6 | 8 | |
| 7 | 6 | |
| 8 | THE CLINICAL DETERMINATION OF PROTEIN-BOUND IODINE 1breakdown → | 341 |
About Sarah Barker
Sarah Barker is a scholar working on History and Philosophy of Science, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 376 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (2 papers), Clinical practice guidelines implementation (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (169 citations), Pediatrics, Perinatology and Child Health (30 citations) and Bioengineering (8 citations). Sarah Barker has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Michael Humphrey, Mayo H. Soley, Gerry Rayman, Rajesh Rajendran, LW Turnbull, M. Makiuchi, Alvena Kureshi, Amandeep Goyal, Brian C. Weiford and Tarun Dalia. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of Pharmacology and Experimental Therapeutics.
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.