Annika M. Dries
Impact in
-
- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
- Cardiovascular Function and Risk Factors
- Cardiac pacing and defibrillation studies
- Viral Infections and Immunology Research
- Cardiac electrophysiology and arrhythmias
Papers in
- Genetics 3
- Genetic and rare skin diseases. 1
- Genomics and Rare Diseases 1
- Genetics and Neurodevelopmental Disorders 1
-
- Cardiomyopathy and Myosin Studies 2
- Cardiac electrophysiology and arrhythmias 1
- Cardiovascular Effects of Exercise 1
- Co-authors
- Matthew T. Wheeler (6 shared papers)Euan A. Ashley (4 shared papers)Sharlene M. Day (1 shared paper)Sara Saberi (1 shared paper)Jonathan Myers (1 shared paper)Adam Helms (1 shared paper)Anil Attili (1 shared paper)Heidi Salisbury (1 shared paper)
- Journals
- Molecular Case Studies (1 paper)Integrative Cancer Therapies (1 paper)The Journal of Pediatrics (1 paper)Journal of General Internal Medicine (1 paper)The Breast (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Annika M. Dries
9 papers receiving 228 citations
Peers
Comparison fields: 5 of 41
- Cardiology and Cardiovascular Medicine 152
- Aging 2
- Developmental Biology 2
- Complementary and alternative medicine 7
- Genetics 24
Countries citing papers authored by Annika M. Dries
This map shows the geographic impact of Annika M. Dries'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 Annika M. Dries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annika M. Dries more than expected).
Fields of papers citing papers by Annika M. Dries
This network shows the impact of papers produced by Annika M. Dries. 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 Annika M. Dries. The network helps show where Annika M. Dries may publish in the future.
Co-authors
The 25 scholars most cited alongside Annika M. Dries, 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 | 2017 | 154 | |
| 2 | 2019 | 16 | |
| 3 | 2019 | 14 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 6 | |
| 8 | 2016 | 4 | |
| 9 | 2021 | 3 |
About Annika M. Dries
Annika M. Dries is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Nephrology, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Genetic and rare skin diseases. (1 paper), Cardiovascular Effects of Exercise (1 paper), Genomics and Rare Diseases (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Vascular Malformations and Hemangiomas (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (152 citations), Aging (2 citations), Developmental Biology (2 citations), Complementary and alternative medicine (7 citations) and Genetics (24 citations). Annika M. Dries has collaborated with scholars based in United States and Canada. Frequent co-authors include Matthew T. Wheeler, Euan A. Ashley, Sharlene M. Day, Sara Saberi, Jonathan Myers, Adam Helms, Anil Attili, Heidi Salisbury, Jennifer L. Bragg‐Gresham and Jonathan J. Herrera. Their work appears in journals such as Molecular Case Studies, Integrative Cancer Therapies, The Journal of Pediatrics, Journal of General Internal Medicine and The Breast.
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.