Emily T. Farrell
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Surgery
- Biomedical Engineering
- Co-authors
- Marlowe W. EldridgeMelissa L. BatesWillem J. de LangeJ. Carter RalpheKaren CooperMichael GleesonJudith AllgroveGary Williamson
- Topics
- Neonatal Respiratory Health Research (6 papers)Tissue Engineering and Regenerative Medicine (4 papers)Cardiomyopathy and Myosin Studies (4 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Emily T. Farrell
22 papers receiving 463 citations
Peers
Comparison fields: 5 of 83
- Pulmonary and Respiratory Medicine 149
- Molecular Biology 127
- Cardiology and Cardiovascular Medicine 108
- Surgery 76
- Biomedical Engineering 51
Countries citing papers authored by Emily T. Farrell
This map shows the geographic impact of Emily T. Farrell'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 Emily T. Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily T. Farrell more than expected).
Fields of papers citing papers by Emily T. Farrell
This network shows the impact of papers produced by Emily T. Farrell. 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 Emily T. Farrell. The network helps show where Emily T. Farrell may publish in the future.
Co-authorship network of co-authors of Emily T. Farrell
This figure shows the co-authorship network connecting the top 25 collaborators of Emily T. Farrell. A scholar is included among the top collaborators of Emily T. Farrell 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 Emily T. Farrell. Emily T. Farrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 37 | |
| 6 | 13 | |
| 7 | 52 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 40 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 23 | |
| 15 | 19 | |
| 16 | 4 | |
| 17 | 71 | |
| 18 | 29 | |
| 19 | 27 | |
| 20 | Effect of chronic ivermectin treatment on GABA receptor function in ethanol withdrawal-seizure prone and resistant mice. | 5 |
About Emily T. Farrell
Emily T. Farrell is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 465 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (46 citations), Rehabilitation (37 citations) and Cardiology and Cardiovascular Medicine (108 citations). Emily T. Farrell has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Marlowe W. Eldridge, Melissa L. Bates, Willem J. de Lange, J. Carter Ralphe, Karen Cooper, Michael Gleeson, Judith Allgrove, Gary Williamson, Mari Palta and Ellie Simpson. Their work appears in journals such as PLoS ONE, Circulation Research and The FASEB Journal.
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.