Philip G. Haydon

32.2k citations
167 papers · 23.4k indexed · 11 hit papers · h-index 71

Philip G. Haydon

166 papers receiving 23.1k citations

Hit Papers

Gliotransmitters Travel in Time...944199420262004201550010001.5k

Peers

Philip G. Haydon
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
Replace David Attwell with:
David Attwell United Kingdom
Giorgio Bernardi Italy
Richard L. M. Faull New Zealand
Masahiko Watanabe Japan
Morgan Sheng United States
Richard L. Huganir United States
Andrea Volterra Italy
Vladimir Parpura United States
Graham L. Collingridge United Kingdom
Paul Worley United States
Philip G. Haydon relative to David Attwell United Kingdom David Attwell's profile →
Citations per field
00.5×2.7×
David Attwell · 1×
Citations per year

Countries citing papers authored by Philip G. Haydon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philip G. Haydon Line = papers co-authored together Philip G. Haydon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 202250
3 2017130
4 2015156
5 201410
6 201236
7 201019
8 201040
9 200948
10 2007216
11 200683
12 200534
13 200311
14
The tripartite synapse: glia in synaptic transmission
200275
15 200051
16 1996198
17 1995163
18 199561
19 19932
20 199214

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.

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