Cheryl Keech

2.4k citations
20 papers · 860 · h-index 15

Impact in

Papers in

    • Estrogen and related hormone effects 3
    • Diabetes and associated disorders 2
    • Genetic Syndromes and Imprinting 2
    • Growth Hormone and Insulin-like Growth Factors 4
    • Diabetes Management and Research 2

Cheryl Keech

20 papers receiving 826 citations

Peers

Cheryl Keech
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 188
  • Microbiology 44
  • Behavioral Neuroscience 24
  • Orthopedics and Sports Medicine 55
  • Epidemiology 211
Replace Rik Heijligenberg with:
Rik Heijligenberg Netherlands
Byung‐Kyu Suh South Korea
M. Van Der Straeten Belgium
R. Barentsen Netherlands
S Dell'Acqua Italy
Michael A. Thomas United States
Nimit Taechakraichana Thailand
Ozgul Muneyyirci‐Delale United States
Irwin E. Thompson United States
Cheryl Keech relative to Rik Heijligenberg Netherlands Rik Heijligenberg's profile →
Citations per field
00.5×9.2×
Rik Heijligenberg · 1×
Citations per year

Countries citing papers authored by Cheryl Keech

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Keech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016157
2 2016118
3 200594
4 198392
5 199580
6 199258
7 202341
8 201739
9 199236
10 200626
11 200521
12 202020
13 200520
14 199119
15 200515
16 199211
17 20175
18 20075
19 20212
20 20201

About Cheryl Keech

Cheryl Keech is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Molecular Biology, having authored 20 papers that have together received 860 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Estrogen and related hormone effects (3 papers), Vaccine Coverage and Hesitancy (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers), Bacterial Infections and Vaccines (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Microbiology (44 citations), Behavioral Neuroscience (24 citations), Orthopedics and Sports Medicine (55 citations) and Epidemiology (211 citations). Cheryl Keech has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Deborah Higgins, Vasantha Padmanabhan, E. Μ. Convey, Arthur Gutierrez‐Hartmann, Sherie A. Dowsett, Stephen M. Jackson, Silvana Martino, Damon Disch, John L. Mershon and Sonali Kochhar. Their work appears in journals such as Vaccine, Metabolism, Molecular and Cellular Biology, Current Medical Research and Opinion and Molecular Endocrinology.

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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