Emma Dyer
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
Papers in
-
- Cardiomyopathy and Myosin Studies 7
- Cardiovascular Effects of Exercise 5
- Genetics 7
- Inflammatory Bowel Disease 5
- Co-authors
- Alexander T. Pearson (4 shared papers)Frederick M. Howard (3 shared papers)Siddhi Ramesh (3 shared papers)Catherine A. Gao (1 shared paper)Yuan Luo (1 shared paper)Nikolay S. Markov (1 shared paper)Steven B. Marston (9 shared papers)David T. Rubin (5 shared papers)
- Journals
- Journal of Molecular and Cellular Cardiology (5 papers)Journal of Biological Chemistry (2 papers)Biophysical Journal (2 papers)Nature Medicine (1 paper)Circulation Heart Failure (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Emma Dyer
22 papers receiving 710 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 299
- Family Practice 26
- Cardiology and Cardiovascular Medicine 162
- Artificial Intelligence 190
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by Emma Dyer
This map shows the geographic impact of Emma Dyer'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 Emma Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Dyer more than expected).
Fields of papers citing papers by Emma Dyer
This network shows the impact of papers produced by Emma Dyer. 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 Emma Dyer. The network helps show where Emma Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Dyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers Hit paper breakdown → | 2023 | 373 |
| 2 | 2010 | 52 | |
| 3 | 2011 | 51 | |
| 4 | 2010 | 51 | |
| 5 | 2009 | 45 | |
| 6 | 2024 | 39 | |
| 7 | 2022 | 23 | |
| 8 | 2024 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2009 | 2 | |
| 15 | 2008 | 2 | |
| 16 | 2008 | 2 | |
| 17 | 2006 | 2 | |
| 18 | In vitro motility studies of HCM and DCM mutations in cardiac muscle actin | 2007 | 1 |
| 19 | Mouse HCM Model Expression E99K ACTC Mutation Reproduces the Clinical HCM Phenotype | 2009 | 1 |
| 20 | 2020 | 1 |
About Emma Dyer
Emma Dyer is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Surgery and Artificial Intelligence, having authored 23 papers that have together received 726 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Inflammatory Bowel Disease (5 papers), Cardiovascular Effects of Exercise (5 papers), AI in cancer detection (3 papers), Microscopic Colitis (3 papers), Muscle Physiology and Disorders (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Health Informatics (299 citations), Family Practice (26 citations), Cardiology and Cardiovascular Medicine (162 citations), Artificial Intelligence (190 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Emma Dyer has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Alexander T. Pearson, Frederick M. Howard, Siddhi Ramesh, Catherine A. Gao, Yuan Luo, Nikolay S. Markov, Steven B. Marston, David T. Rubin, Weihua Song and Andrew E. Messer. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Biological Chemistry, Biophysical Journal, Nature Medicine and Circulation Heart Failure.
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.