Susan M. Murphy
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Physiology
- Environmental Engineering top 10%
- Co-authors
- Colin R. AndersonG. CampbellAnnette J. BergnerJohn RaynerIda J. Llewellyn‐SmithPaul M. PilowskyNicholas S. G. WilliamsClaire Farrell
- Topics
- Neuropeptides and Animal Physiology (14 papers)Neuroscience of respiration and sleep (7 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsEnvironmental Engineering
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Comparative NeurologyNeuroscience
- Partner nations
- AustraliaIndiaSwitzerland
In The Last Decade
Susan M. Murphy
26 papers receiving 641 citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 366
- Molecular Biology 192
- Endocrine and Autonomic Systems 119
- Physiology 96
- Environmental Engineering 77
Countries citing papers authored by Susan M. Murphy
This map shows the geographic impact of Susan M. Murphy'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 Susan M. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan M. Murphy more than expected).
Fields of papers citing papers by Susan M. Murphy
This network shows the impact of papers produced by Susan M. Murphy. 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 Susan M. Murphy. The network helps show where Susan M. Murphy may publish in the future.
Co-authorship network of co-authors of Susan M. Murphy
This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Murphy. A scholar is included among the top collaborators of Susan M. Murphy 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 Susan M. Murphy. Susan M. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 87 | |
| 3 | 2 | |
| 4 | 34 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 22 | |
| 8 | 14 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 17 | |
| 14 | 25 | |
| 15 | 10 | |
| 16 | 21 | |
| 17 | 18 | |
| 18 | 42 | |
| 19 | 7 | |
| 20 | 4 |
About Susan M. Murphy
Susan M. Murphy is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 26 papers that have together received 653 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Neuroscience of respiration and sleep (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (366 citations), Endocrine and Autonomic Systems (119 citations) and Environmental Engineering (77 citations). Susan M. Murphy has collaborated with scholars based in Australia, India and Switzerland. Frequent co-authors include Colin R. Anderson, G. Campbell, Annette J. Bergner, John Rayner, Ida J. Llewellyn‐Smith, Paul M. Pilowsky, Nicholas S. G. Williams, Claire Farrell, John B. Furness and Ian L. Gibbins. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Neuroscience.
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.