Kathryn Noyes

1.0k total citations
15 papers, 641 citations indexed

About

Kathryn Noyes is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Speech and Hearing. According to data from OpenAlex, Kathryn Noyes has authored 15 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 6 papers in Speech and Hearing. Recurrent topics in Kathryn Noyes's work include Diabetes Management and Research (13 papers), Adolescent and Pediatric Healthcare (6 papers) and Pancreatic function and diabetes (6 papers). Kathryn Noyes is often cited by papers focused on Diabetes Management and Research (13 papers), Adolescent and Pediatric Healthcare (6 papers) and Pancreatic function and diabetes (6 papers). Kathryn Noyes collaborates with scholars based in United Kingdom, Canada and Türkiye. Kathryn Noyes's co-authors include Norman Waugh, Katharine Barnard‐Kelly, Siân Thomas, Pamela Royle, David Rankin, Julia Lawton, Jeni Harden, Louise Bath, Katharine Barnard and Vivienne Chisholm and has published in prestigious journals such as Human Molecular Genetics, Journal of Advanced Nursing and Diabetic Medicine.

In The Last Decade

Kathryn Noyes

15 papers receiving 614 citations

Peers

Kathryn Noyes
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 479
  • Surgery 289
  • Genetics 270
  • Speech and Hearing 125
  • Pediatrics, Perinatology and Child Health 102
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Stefan Särnblad Sweden
Stéphanie Woerner United States
Shideh Majidi United States
Andrea Ruggiero United States
Mary Halvorson United States
Carmen Mazza Argentina
Laura Krabbe Germany
Elaine Parton United States
Jackie Elliott United Kingdom
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Citations per field, relative to Kathryn Noyes
Kathryn Noyes · 1×
Citations per year, relative to Kathryn Noyes
Kathryn Noyes · 1×

Countries citing papers authored by Kathryn Noyes

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Noyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Noyes

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Noyes. A scholar is included among the top collaborators of Kathryn Noyes 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 Kathryn Noyes. Kathryn Noyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 39
2 20
3 16
4 45
5 21
6 44
7 19
8 5
9 177
10 18
11 6
12 53
13 39
14 133
15 6

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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