Jarred B. McAteer
- Genetics top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- José C. FlorezJames B. MeigsJosée DupuisL. Adrienne CupplesCaroline S. FoxAlisa K. ManningPeter ShraderPeter W.F. Wilson
- Topics
- Genetic Associations and Epidemiology (9 papers)Pancreatic function and diabetes (4 papers)Metabolism, Diabetes, and Cancer (4 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Jarred B. McAteer
24 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Genetics 731
- Molecular Biology 554
- Endocrinology, Diabetes and Metabolism 513
- Epidemiology 350
- Surgery 350
Countries citing papers authored by Jarred B. McAteer
This map shows the geographic impact of Jarred B. McAteer'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 Jarred B. McAteer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarred B. McAteer more than expected).
Fields of papers citing papers by Jarred B. McAteer
This network shows the impact of papers produced by Jarred B. McAteer. 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 Jarred B. McAteer. The network helps show where Jarred B. McAteer may publish in the future.
Co-authorship network of co-authors of Jarred B. McAteer
This figure shows the co-authorship network connecting the top 25 collaborators of Jarred B. McAteer. A scholar is included among the top collaborators of Jarred B. McAteer 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 Jarred B. McAteer. Jarred B. McAteer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 20 | |
| 6 | 37 | |
| 7 | 26 | |
| 8 | 129 | |
| 9 | 31 | |
| 10 | 16 | |
| 11 | 193 | |
| 12 | 28 | |
| 13 | Genotype Score in Addition to Common Risk Factors for Prediction of Type 2 Diabetesbreakdown → | 550 |
| 14 | 37 | |
| 15 | 76 | |
| 16 | 89 | |
| 17 | 130 | |
| 18 | 37 | |
| 19 | 79 | |
| 20 | 66 |
About Jarred B. McAteer
Jarred B. McAteer is a scholar working on Applied Microbiology and Biotechnology, Endocrinology and Genetics, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Pancreatic function and diabetes (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Genetics (731 citations) and Endocrine and Autonomic Systems (86 citations). Jarred B. McAteer has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include José C. Florez, James B. Meigs, Josée Dupuis, L. Adrienne Cupples, Caroline S. Fox, Alisa K. Manning, Peter Shrader, Peter W.F. Wilson, Ralph B. D’Agostino and Lisa Sullivan. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.