Glen R. Van Loon
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Behavioral Neuroscience top 0.5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Errol B. De SouzaAbdulghani A. HoudiMichael J. SoleNathan M. AppelAndrew Yau‐Chik ShumWilliam F. GanongJudith A. Kiritsy‐RoyU. Scapagnini
- Topics
- Neuropeptides and Animal Physiology (44 papers)Receptor Mechanisms and Signaling (31 papers)Stress Responses and Cortisol (24 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Glen R. Van Loon
104 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.1k
- Behavioral Neuroscience 816
- Physiology 772
- Endocrinology, Diabetes and Metabolism 587
Countries citing papers authored by Glen R. Van Loon
This map shows the geographic impact of Glen R. Van Loon'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 Glen R. Van Loon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen R. Van Loon more than expected).
Fields of papers citing papers by Glen R. Van Loon
This network shows the impact of papers produced by Glen R. Van Loon. 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 Glen R. Van Loon. The network helps show where Glen R. Van Loon may publish in the future.
Co-authorship network of co-authors of Glen R. Van Loon
This figure shows the co-authorship network connecting the top 25 collaborators of Glen R. Van Loon. A scholar is included among the top collaborators of Glen R. Van Loon 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 Glen R. Van Loon. Glen R. Van Loon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 83 | |
| 6 | 40 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 99 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 50 | |
| 14 | 23 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 67 | |
| 18 | 10 | |
| 19 | 8 | |
| 20 | 44 |
About Glen R. Van Loon
Glen R. Van Loon is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 104 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (31 papers) and Stress Responses and Cortisol (24 papers). The work is most often cited by research in Behavioral Neuroscience (816 citations), Cellular and Molecular Neuroscience (1.4k citations) and Endocrine and Autonomic Systems (406 citations). Glen R. Van Loon has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Errol B. De Souza, Abdulghani A. Houdi, Michael J. Sole, Nathan M. Appel, Andrew Yau‐Chik Shum, William F. Ganong, Judith A. Kiritsy‐Roy, U. Scapagnini, Chul Kim and Gary P. Moberg. Their work appears in journals such as Nature, Science and Journal of Clinical Investigation.
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.