Alison M. Ray

1.0k citations
14 papers · 560 · h-index 11

Impact in

Papers in

    • Melanoma and MAPK Pathways 2
    • Receptor Mechanisms and Signaling 2
    • Cell death mechanisms and regulation 2
    • Machine Learning in Bioinformatics 1
    • Neuroscience and Neuropharmacology Research 4
    • Neuropeptides and Animal Physiology 1

Alison M. Ray

13 papers receiving 536 citations

Peers

Alison M. Ray
Comparison fields: 5 of 89
  • Neurology 128
  • Cellular and Molecular Neuroscience 173
  • Developmental Neuroscience 38
  • Sensory Systems 25
  • Molecular Biology 261
Replace Françoise Le Saux with:
Françoise Le Saux France
Colin L. Willis United States
M. Berger Austria
Mitchell R. Emerson United States
Svetlana Leschiner Israel
Ben Jones United States
Véronique Dorval Canada
Elda Del Giudice Italy
M Portier France
Jean‐Claude Robert France
Alison M. Ray relative to Françoise Le Saux France Françoise Le Saux's profile →
Citations per field
00.5×
Françoise Le Saux · 1×
Citations per year

Countries citing papers authored by Alison M. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Alison M. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison M. Ray. 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 Alison M. Ray. The network helps show where Alison M. Ray may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001228
2 200060
3 200353
4 200348
5 200143
6 199739
7 200820
8 200816
9 200815
10 202214
11 200213
12
The ten pound immigrants
198810
13 20081
14 20160

About Alison M. Ray

Alison M. Ray is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 560 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Chemical synthesis and alkaloids (2 papers), Melanoma and MAPK Pathways (2 papers), Receptor Mechanisms and Signaling (2 papers), Cell death mechanisms and regulation (2 papers), Machine Learning in Bioinformatics (1 paper), Neuropeptides and Animal Physiology (1 paper) and Microbial Metabolism and Applications (1 paper). The work is most often cited by research in Neurology (128 citations), Cellular and Molecular Neuroscience (173 citations), Developmental Neuroscience (38 citations), Sensory Systems (25 citations) and Molecular Biology (261 citations). Alison M. Ray has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include HM Salihu, John B. Davis, Christopher D. Benham, Davina E. OWEN, Elaine Irving, Martyn L. Evans, Shouki Kassis, Eliot H. Ohlstein, Brian R. Smith and A. Jacqueline Hunter. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia, Journal of Neuroscience, Journal of Biological Chemistry 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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