M.R. Lovett-Barr
- Endocrine and Autonomic Systems top 1%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Physiology
- Cognitive Neuroscience
- Co-authors
- Gordon S. MitchellStéphane VinitIrawan SatriotomoMichael S. HoffmanJulia R. WilkersonPeter M. MacFarlaneFrancis J. GolderGillian D. Muir
- Topics
- Neuroscience of respiration and sleep (9 papers)Spinal Cord Injury Research (5 papers)Respiratory Support and Mechanisms (4 papers)
- Cited by
- Endocrine and Autonomic SystemsPathology and Forensic MedicinePulmonary and Respiratory Medicine
- Journals
- Journal of NeuroscienceJournal of NeurophysiologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesCanada
In The Last Decade
M.R. Lovett-Barr
11 papers receiving 769 citations
Peers
Comparison fields: 5 of 65
- Endocrine and Autonomic Systems 507
- Pathology and Forensic Medicine 282
- Pulmonary and Respiratory Medicine 226
- Physiology 112
- Cognitive Neuroscience 98
Countries citing papers authored by M.R. Lovett-Barr
This map shows the geographic impact of M.R. Lovett-Barr'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 M.R. Lovett-Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.R. Lovett-Barr more than expected).
Fields of papers citing papers by M.R. Lovett-Barr
This network shows the impact of papers produced by M.R. Lovett-Barr. 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 M.R. Lovett-Barr. The network helps show where M.R. Lovett-Barr may publish in the future.
Co-authorship network of co-authors of M.R. Lovett-Barr
This figure shows the co-authorship network connecting the top 25 collaborators of M.R. Lovett-Barr. A scholar is included among the top collaborators of M.R. Lovett-Barr 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 M.R. Lovett-Barr. M.R. Lovett-Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 170 | |
| 2 | 53 | |
| 3 | 77 | |
| 4 | 65 | |
| 5 | 81 | |
| 6 | 19 | |
| 7 | 61 | |
| 8 | 11 | |
| 9 | 132 | |
| 10 | 72 | |
| 11 | 35 |
About M.R. Lovett-Barr
M.R. Lovett-Barr is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 11 papers that have together received 776 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (9 papers), Spinal Cord Injury Research (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (507 citations), Pathology and Forensic Medicine (282 citations) and Pulmonary and Respiratory Medicine (226 citations). M.R. Lovett-Barr has collaborated with scholars based in United States and Canada. Frequent co-authors include Gordon S. Mitchell, Stéphane Vinit, Irawan Satriotomo, Michael S. Hoffman, Julia R. Wilkerson, Peter M. MacFarlane, Francis J. Golder, Gillian D. Muir, Lavanya Ranganathan and Jyoti J. Watters. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and Annals of the New York 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.