Barbara J. McDermott
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Physiology top 10%
- Co-authors
- David BellElizabeth J. KelsoYouyou ZhaoDavid GrieveEmma RobinsonBernard SilkeAdam HarveyBrian D. Green
- Topics
- Neuropeptides and Animal Physiology (24 papers)Receptor Mechanisms and Signaling (21 papers)Nitric Oxide and Endothelin Effects (13 papers)
- Partner nations
- United KingdomSlovakiaUnited States
In The Last Decade
Barbara J. McDermott
83 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 718
- Cellular and Molecular Neuroscience 590
- Cardiology and Cardiovascular Medicine 588
- Surgery 263
- Physiology 251
Countries citing papers authored by Barbara J. McDermott
This map shows the geographic impact of Barbara J. McDermott'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 Barbara J. McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara J. McDermott more than expected).
Fields of papers citing papers by Barbara J. McDermott
This network shows the impact of papers produced by Barbara J. McDermott. 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 Barbara J. McDermott. The network helps show where Barbara J. McDermott may publish in the future.
Co-authorship network of co-authors of Barbara J. McDermott
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara J. McDermott. A scholar is included among the top collaborators of Barbara J. McDermott 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 Barbara J. McDermott. Barbara J. McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 30 | |
| 3 | 87 | |
| 4 | 204 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 20 | |
| 9 | 51 | |
| 10 | 18 | |
| 11 | 45 | |
| 12 | Temporal dependence of the onset of parameters of cardiomyocyte hypertrophy in response to pressure overload | 1 |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 54 | |
| 18 | 18 | |
| 19 | 14 | |
| 20 | 1 |
About Barbara J. McDermott
Barbara J. McDermott is a scholar working on Cellular and Molecular Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (24 papers), Receptor Mechanisms and Signaling (21 papers) and Nitric Oxide and Endothelin Effects (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (590 citations), Cardiology and Cardiovascular Medicine (588 citations) and Signal Processing (155 citations). Barbara J. McDermott has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include David Bell, Elizabeth J. Kelso, Youyou Zhao, David Grieve, Emma Robinson, Bernard Silke, Adam Harvey, Brian D. Green, Michelle B. Hookham and Ajay M. Shah. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Journal of Virology.
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.