Aaron Casey

417 citations
14 papers · 243 indexed · h-index 8

Aaron Casey

13 papers receiving 233 citations

Peers

Aaron Casey
Comparison fields: 5 of 82
  • Health Informatics 68
  • Health Information Management 25
  • Aging 6
  • Family Practice 6
  • Medical Laboratory Technology 4
Replace David Wong with:
David Wong United Kingdom
Noa Hurvitz Israel
Christopher R. Bauer United States
Nina K. Wenke Germany
Jiantao Bian United States
Michal Ozery-Flato Israel
Inez Y. Oh United States
Rodoniki Athanasiadou United States
Kerry Goetz United States
Eric Venner United States
Aaron Casey relative to David Wong United Kingdom David Wong's profile →
Citations per field
00.5×1.5×
David Wong · 1×
Citations per year

Countries citing papers authored by Aaron Casey

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20241
2 20231
3 20222
4 202199
5 201816
6 201857
7 20177
8 20177
9 201520
10 20154
11
Changes in Measures of Power in NCAA Division I Female Soccer Athletes Through Competitive Seasons
20121
12 200910
13 200818
14
The genetics of sheep breeding.
20020

About Aaron Casey

Aaron Casey is a scholar working on Health Informatics, Family Practice, Health Information Management, Genetics and Plant Science, having authored 14 papers that have together received 243 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), DNA Repair Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Child Nutrition and Water Access (1 paper), Sports, Gender, and Society (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Health Informatics (68 citations), Health Information Management (25 citations), Aging (6 citations), Family Practice (6 citations) and Medical Laboratory Technology (4 citations). Aaron Casey has collaborated with scholars based in Australia, Finland and Germany. Frequent co-authors include Ville‐Petteri Mäkinen, Song Gao, Frank Grützner, Timothy J. Sargeant, Tasman Daish, Enrico Coiera, Markus Wenzel, Wendy Rogers, Sandeep Reddy and Eva Weicken. Their work appears in journals such as Scientific Reports, Cell Death Discovery, BMC Biology, Gene and Reproduction Fertility and Development.

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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