Anne E. Eyler
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Genetic Associations and Epidemiology 1
- Chronic Lymphocytic Leukemia Research 1
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 3
- RNA modifications and cancer 1
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- Machine Learning in Healthcare 2
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- Rheumatoid Arthritis Research and Therapies 2
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- Mast cells and histamine 1
- Co-authors
- Robert J. CarrollJoshua C. DennyEric R. GamazonHeather E. WheelerNancy J. CoxKeston Aquino-MichaelsKaanan P. ShahHae Kyung Im
- Journals
- Journal of the American Medical Informatics Association (2 papers)Nature Genetics (1 paper)The American Journal of Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Anne E. Eyler
8 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 678
- Health Information Management 88
- Computational Mathematics 7
- Molecular Biology 782
- Cancer Research 97
Countries citing papers authored by Anne E. Eyler
This map shows the geographic impact of Anne E. Eyler'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 Anne E. Eyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne E. Eyler more than expected).
Fields of papers citing papers by Anne E. Eyler
This network shows the impact of papers produced by Anne E. Eyler. 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 Anne E. Eyler. The network helps show where Anne E. Eyler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne E. Eyler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 13 | |
| 2 | A gene-based association method for mapping traits using reference transcriptome databreakdown → | 2015 | 975 |
| 3 | 2014 | 7 | |
| 4 | 2013 | 82 | |
| 5 | 2012 | 172 | |
| 6 | 2011 | 0 | |
| 7 | Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis. | 2011 | 87 |
| 8 | 2010 | 33 | |
| 9 | 2007 | 1 |
About Anne E. Eyler
Anne E. Eyler is a scholar working on Health Information Management, Rheumatology and Genetics, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Healthcare (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), RNA modifications and cancer (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Genetic Associations and Epidemiology (1 paper), Mast cells and histamine (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Genetics (678 citations), Health Information Management (88 citations) and Computational Mathematics (7 citations). Anne E. Eyler has collaborated with scholars based in United States. Frequent co-authors include Robert J. Carroll, Joshua C. Denny, Eric R. Gamazon, Heather E. Wheeler, Nancy J. Cox, Keston Aquino-Michaels, Kaanan P. Shah, Hae Kyung Im, Dan L. Nicolae and Sahar V. Mozaffari. Their work appears in journals such as Journal of the American Medical Informatics Association, Nature Genetics, The American Journal of Medicine, CHEST Journal and Allergy.
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.