Neil Upton

6.6k citations
83 papers · 3.9k · h-index 37

Impact in

Papers in

Neil Upton

82 papers receiving 3.8k citations

Peers

Neil Upton
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 654
  • Cellular and Molecular Neuroscience 1.6k
  • Biological Psychiatry 161
  • Cognitive Neuroscience 1.2k
  • Psychiatry and Mental health 619
Replace Edilio Borroni with:
Edilio Borroni Switzerland
Hugh Marston United Kingdom
Laure Verret France
Kelvin A. Yamada United States
Sergio Tanganelli Italy
Wilhelmus Drinkenburg Belgium
Pascal Bonaventure United States
H. L. Haas Germany
Kwangwook Cho United Kingdom
Roser Cortés Spain
Neil Upton relative to Edilio Borroni Switzerland Edilio Borroni's profile →
Citations per field
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Edilio Borroni · 1×
Citations per year

Countries citing papers authored by Neil Upton

Since Specialization
Citations

This map shows the geographic impact of Neil Upton'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 Neil Upton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Upton more than expected).

Fields of papers citing papers by Neil Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Upton. 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 Neil Upton. The network helps show where Neil Upton may publish in the future.

Co-authors

The 25 scholars most cited alongside Neil Upton, 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 Neil Upton Line = papers co-authored together Neil Upton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000282
2 2000254
3 2008210
4 2006192
5 2003126
6 2000119
7 2003112
8 2007110
9 2008106
10 201298
11 199493
12 200789
13 201088
14 199987
15 199886
16 200981
17 200179
18 200178
19 200376
20 200369

About Neil Upton

Neil Upton is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Psychiatry and Mental health, having authored 83 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Sleep and Wakefulness Research (9 papers), Receptor Mechanisms and Signaling (8 papers), Alzheimer's disease research and treatments (7 papers), Epilepsy research and treatment (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (654 citations), Cellular and Molecular Neuroscience (1.6k citations), Biological Psychiatry (161 citations), Cognitive Neuroscience (1.2k citations) and Psychiatry and Mental health (619 citations). Neil Upton has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include A. Jackie Hunter, Tania O. Stean, Martin Smith, David Virley, D.C Piper, Graham J. Riley, Andrew Billinton, Tsu Tshen Chuang, Warren D. Hirst and Jim J. Hagan. Their work appears in journals such as British Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters, European Journal of Pharmacology, Neurobiology of Aging and Behavioural Brain Research.

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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