J. Glen Newell
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Cell Biology top 10%
- Developmental Neuroscience top 5%
- Co-authors
- Cynthia CzajkowskiJohn F. MacDonaldBeverley A. OrserValerie B. CaraiscosErin ElliottKong Eric You-TenKeith A. WaffordThomas W. Rosahl
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Receptor Mechanisms and Signaling (7 papers)Nicotinic Acetylcholine Receptors Study (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
J. Glen Newell
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 774
- Molecular Biology 644
- Cognitive Neuroscience 255
- Cell Biology 191
- Developmental Neuroscience 112
Countries citing papers authored by J. Glen Newell
This map shows the geographic impact of J. Glen Newell'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 J. Glen Newell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Glen Newell more than expected).
Fields of papers citing papers by J. Glen Newell
This network shows the impact of papers produced by J. Glen Newell. 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 J. Glen Newell. The network helps show where J. Glen Newell may publish in the future.
Co-authorship network of co-authors of J. Glen Newell
This figure shows the co-authorship network connecting the top 25 collaborators of J. Glen Newell. A scholar is included among the top collaborators of J. Glen Newell 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 J. Glen Newell. J. Glen Newell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 17 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 117 | |
| 6 | 66 | |
| 7 | 472 | |
| 8 | 82 | |
| 9 | 12 | |
| 10 | 78 | |
| 11 | 8 | |
| 12 | 35 | |
| 13 | 23 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 221 |
About J. Glen Newell
J. Glen Newell is a scholar working on Cellular and Molecular Neuroscience, Applied Microbiology and Biotechnology and Developmental Neuroscience, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (7 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (774 citations), Developmental Neuroscience (112 citations) and Cognitive Neuroscience (255 citations). J. Glen Newell has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Cynthia Czajkowski, John F. MacDonald, Beverley A. Orser, Valerie B. Caraiscos, Erin Elliott, Kong Eric You-Ten, Keith A. Wafford, Thomas W. Rosahl, Victor Cheng and Jeremy J. Lambert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.