Philip G. Haydon
- Cellular and Molecular Neuroscience top 0.01%
- Neuroscience and Neuropharmacology Research 108
- Photoreceptor and optogenetics research 26
- Neuroscience and Neural Engineering 17
- Neurology top 0.02%
- Neuroinflammation and Neurodegeneration Mechanisms 39
- Developmental Neuroscience top 0.05%
- Biological Psychiatry top 0.2%
- Physiology top 0.05%
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- Ion channel regulation and function 25
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- Cellular transport and secretion 18
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- Sleep and Wakefulness Research 18
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- Amino Acid Enzymes and Metabolism 16
- Co-authors
- Vladimir ParpuraGiorgio CarmignotoMichael M. HalassaAlfonso AraqueRita P. SanzgiriTommaso FellinOlivier PascualHajime Takano
- Journals
- Journal of Neuroscience (19 papers)Neuron (12 papers)Proceedings of the National Academy of Sciences (10 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Philip G. Haydon
166 papers receiving 23.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cellular and Molecular Neuroscience 15.6k
- Neurology 7.0k
- Developmental Neuroscience 3.0k
- Biological Psychiatry 1.1k
- Physiology 1.8k
Countries citing papers authored by Philip G. Haydon
This map shows the geographic impact of Philip G. Haydon'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 Philip G. Haydon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip G. Haydon more than expected).
Fields of papers citing papers by Philip G. Haydon
This network shows the impact of papers produced by Philip G. Haydon. 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 Philip G. Haydon. The network helps show where Philip G. Haydon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip G. Haydon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2022 | 50 | |
| 3 | 2017 | 130 | |
| 4 | 2015 | 156 | |
| 5 | 2014 | 10 | |
| 6 | 2012 | 36 | |
| 7 | 2010 | 19 | |
| 8 | 2010 | 40 | |
| 9 | 2009 | 48 | |
| 10 | 2007 | 216 | |
| 11 | 2006 | 83 | |
| 12 | 2005 | 34 | |
| 13 | 2003 | 11 | |
| 14 | The tripartite synapse: glia in synaptic transmission | 2002 | 75 |
| 15 | 2000 | 51 | |
| 16 | 1996 | 198 | |
| 17 | 1995 | 163 | |
| 18 | 1995 | 61 | |
| 19 | 1993 | 2 | |
| 20 | 1992 | 14 |
About Philip G. Haydon
Philip G. Haydon is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 167 papers that have together received 23.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (108 papers), Neuroinflammation and Neurodegeneration Mechanisms (39 papers), Photoreceptor and optogenetics research (26 papers), Ion channel regulation and function (25 papers), Cellular transport and secretion (18 papers), Sleep and Wakefulness Research (18 papers), Neuroscience and Neural Engineering (17 papers) and Amino Acid Enzymes and Metabolism (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (15.6k citations), Neurology (7.0k citations) and Developmental Neuroscience (3.0k citations). Philip G. Haydon has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Vladimir Parpura, Giorgio Carmignoto, Michael M. Halassa, Alfonso Araque, Rita P. Sanzgiri, Tommaso Fellin, Alfonso Araque, Olivier Pascual, Tommaso Fellin and Hajime Takano. Their work appears in journals such as Journal of Neuroscience, Neuron, Proceedings of the National Academy of Sciences, Glia and Neuropharmacology.
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.