Patricia C. Edwards
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Physiology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Gebhard F. X. SchertlerChristopher G. TateAndrew G. W. LeslieTony WarneClaude M. WischikManfred BurghammerR. MoukhametzianovM Novák
- Topics
- Receptor Mechanisms and Signaling (31 papers)Photoreceptor and optogenetics research (17 papers)Alzheimer's disease research and treatments (15 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Patricia C. Edwards
86 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 8.6k
- Cellular and Molecular Neuroscience 4.7k
- Physiology 2.1k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computational Theory and Mathematics 912
Countries citing papers authored by Patricia C. Edwards
This map shows the geographic impact of Patricia C. Edwards'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 Patricia C. Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia C. Edwards more than expected).
Fields of papers citing papers by Patricia C. Edwards
This network shows the impact of papers produced by Patricia C. Edwards. 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 Patricia C. Edwards. The network helps show where Patricia C. Edwards may publish in the future.
Co-authorship network of co-authors of Patricia C. Edwards
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia C. Edwards. A scholar is included among the top collaborators of Patricia C. Edwards 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 Patricia C. Edwards. Patricia C. Edwards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 191 | |
| 9 | 85 | |
| 10 | 52 | |
| 11 | 200 | |
| 12 | 242 | |
| 13 | 17 | |
| 14 | 383 | |
| 15 | The structural basis for agonist and partial agonist action on a β1-adrenergic receptorbreakdown → | 513 |
| 16 | 21 | |
| 17 | Using tobacco mosaic virus epitope display to enhance papillomavirus L2 antigen presentation | 1 |
| 18 | 38 | |
| 19 | 18 | |
| 20 | 107 |
About Patricia C. Edwards
Patricia C. Edwards is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Molecular Biology, having authored 88 papers that have together received 10.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (31 papers), Photoreceptor and optogenetics research (17 papers) and Alzheimer's disease research and treatments (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.7k citations), Molecular Biology (8.6k citations) and Physiology (469 citations). Patricia C. Edwards has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Gebhard F. X. Schertler, Christopher G. Tate, Andrew G. W. Leslie, Tony Warne, Claude M. Wischik, Manfred Burghammer, R. Moukhametzianov, M Novák, Jillian G. Baker and Claudio Villa. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.