Glenn M. Toney
- Endocrine and Autonomic Systems top 0.2%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Social Psychology top 1%
- Co-authors
- Sean D. StockerSteven W. MifflinJ. Thomas CunninghamMatthew J. CatoLynette C. DawsRobert BrennerJeffrey L. NoebelsRichard W. Aldrich
- Topics
- Neuroscience of respiration and sleep (51 papers)Neuroendocrine regulation and behavior (28 papers)Heart Rate Variability and Autonomic Control (24 papers)
- Cited by
- Endocrine and Autonomic SystemsBehavioral NeuroscienceCardiology and Cardiovascular Medicine
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Glenn M. Toney
90 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 105
- Endocrine and Autonomic Systems 1.5k
- Cardiology and Cardiovascular Medicine 1.2k
- Cellular and Molecular Neuroscience 785
- Molecular Biology 777
- Social Psychology 774
Countries citing papers authored by Glenn M. Toney
This map shows the geographic impact of Glenn M. Toney'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 Glenn M. Toney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn M. Toney more than expected).
Fields of papers citing papers by Glenn M. Toney
This network shows the impact of papers produced by Glenn M. Toney. 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 Glenn M. Toney. The network helps show where Glenn M. Toney may publish in the future.
Co-authorship network of co-authors of Glenn M. Toney
This figure shows the co-authorship network connecting the top 25 collaborators of Glenn M. Toney. A scholar is included among the top collaborators of Glenn M. Toney 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 Glenn M. Toney. Glenn M. Toney 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 | 4 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 41 | |
| 12 | 15 | |
| 13 | 14 | |
| 14 | 52 | |
| 15 | 35 | |
| 16 | 19 | |
| 17 | 8 | |
| 18 | 62 | |
| 19 | 43 | |
| 20 | 19 |
About Glenn M. Toney
Glenn M. Toney is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 93 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (51 papers), Neuroendocrine regulation and behavior (28 papers) and Heart Rate Variability and Autonomic Control (24 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Behavioral Neuroscience (328 citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Glenn M. Toney has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Sean D. Stocker, Steven W. Mifflin, J. Thomas Cunningham, Matthew J. Cato, Lynette C. Daws, Robert Brenner, Jeffrey L. Noebels, Richard W. Aldrich, Gregory D. Fink and John W. Osborn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.