Jason Hannon
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Physiology top 1%
- Co-authors
- Daniël HoyerGraeme R. MartinJohn R. FozardH.‐J. PfannkucheCaroline NunnBruno TiganiLazzaro MazzoniIwan A. Williams
- Topics
- Receptor Mechanisms and Signaling (10 papers)Adenosine and Purinergic Signaling (8 papers)Neuroendocrine Tumor Research Advances (6 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsBritish Journal of PharmacologyEuropean Journal of Neuroscience
- Partner nations
- SwitzerlandFranceGermany
In The Last Decade
Jason Hannon
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.2k
- Physiology 443
- Cognitive Neuroscience 285
- Physiology 266
Countries citing papers authored by Jason Hannon
This map shows the geographic impact of Jason Hannon'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 Jason Hannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Hannon more than expected).
Fields of papers citing papers by Jason Hannon
This network shows the impact of papers produced by Jason Hannon. 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 Jason Hannon. The network helps show where Jason Hannon may publish in the future.
Co-authorship network of co-authors of Jason Hannon
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Hannon. A scholar is included among the top collaborators of Jason Hannon 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 Jason Hannon. Jason Hannon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Molecular biology of 5-HT receptorsbreakdown → | 632 |
| 2 | 66 | |
| 3 | 28 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | Serotonin receptors and systems: endless diversity? | 21 |
| 7 | 9 | |
| 8 | Molecular, pharmacological and functional diversity of 5-HT receptorsbreakdown → | 1477 |
| 9 | 91 | |
| 10 | 27 | |
| 11 | 51 | |
| 12 | 68 | |
| 13 | 27 | |
| 14 | 58 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 72 | |
| 18 | 14 | |
| 19 | 111 | |
| 20 | 31 |
About Jason Hannon
Jason Hannon is a scholar working on Physiology, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Adenosine and Purinergic Signaling (8 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Physiology (266 citations) and Biological Psychiatry (119 citations). Jason Hannon has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Daniël Hoyer, Graeme R. Martin, John R. Fozard, H.‐J. Pfannkuche, Caroline Nunn, Bruno Tigani, Lazzaro Mazzoni, Iwan A. Williams, Dominik Feuerbach and Cécile Viollet. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and European 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.