Chris G. Parsons
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 2%
- Physiology top 0.5%
- Pharmacology top 0.2%
- Cognitive Neuroscience top 2%
- Co-authors
- Wojciech DanyszG. QuackGerhard RammesAlbrecht StöfflerTadeusz FrankiewiczP.M. HeadleySabine HartmannJohannes Kornhuber
- Topics
- Neuroscience and Neuropharmacology Research (109 papers)Ion channel regulation and function (46 papers)Receptor Mechanisms and Signaling (26 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Chris G. Parsons
143 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cellular and Molecular Neuroscience 5.7k
- Molecular Biology 3.6k
- Physiology 2.5k
- Pharmacology 1.9k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Chris G. Parsons
This map shows the geographic impact of Chris G. Parsons'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 Chris G. Parsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris G. Parsons more than expected).
Fields of papers citing papers by Chris G. Parsons
This network shows the impact of papers produced by Chris G. Parsons. 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 Chris G. Parsons. The network helps show where Chris G. Parsons may publish in the future.
Co-authorship network of co-authors of Chris G. Parsons
This figure shows the co-authorship network connecting the top 25 collaborators of Chris G. Parsons. A scholar is included among the top collaborators of Chris G. Parsons 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 Chris G. Parsons. Chris G. Parsons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 22 | |
| 4 | 27 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | Improving Classroom Learning: The Effectiveness of Time Delay within the TEACCH Approach. | 5 |
| 8 | Memantine: a NMDA receptor antagonist that improves memory by restoration of homeostasis in the glutamatergic system - too little activation is bad, too much is even worsebreakdown → | 545 |
| 9 | 35 | |
| 10 | 39 | |
| 11 | 105 | |
| 12 | 34 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 95 | |
| 17 | 45 | |
| 18 | 44 | |
| 19 | Preparation for retirement. | 1 |
| 20 | 3 |
About Chris G. Parsons
Chris G. Parsons is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 146 papers that have together received 9.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (109 papers), Ion channel regulation and function (46 papers) and Receptor Mechanisms and Signaling (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.7k citations), Biological Psychiatry (746 citations) and Pharmacology (1.9k citations). Chris G. Parsons has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Wojciech Danysz, G. Quack, Gerhard Rammes, Albrecht Stöffler, Tadeusz Frankiewicz, P.M. Headley, Sabine Hartmann, Johannes Kornhuber, I. Bresink and Wojciech M. Zajączkowski. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Gastroenterology.
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.