Gayle Middleton

1.2k citations
15 papers · 1.1k indexed · h-index 14

Gayle Middleton

15 papers receiving 1.0k citations

Peers

Gayle Middleton
Comparison fields: 5 of 82
  • Developmental Neuroscience 191
  • Cellular and Molecular Neuroscience 422
  • Neurology 99
  • Cancer Research 172
  • Immunology 189
Replace Asha Bhakar with:
Asha Bhakar Canada
Kate Reid Australia
Kazuhiko Namikawa Japan
Jacqueline L. Vanderluit Canada
Andrew J. H. Smith United Kingdom
Lidia De Filippis Italy
F. Besnard France
Suzana Atanasoski Switzerland
Larry R. Karns United States
Filip A. Konopacki United Kingdom
Gayle Middleton relative to Asha Bhakar Canada Asha Bhakar's profile →
Citations per field
00.5×1.5×
Asha Bhakar · 1×
Citations per year

Countries citing papers authored by Gayle Middleton

Since Specialization
Citations

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

Fields of papers citing papers by Gayle Middleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 200196
2 2001120
3 200128
4 200141
5 2001100
6
Neurotrophin-independent survival and cell death in adult sympathetic neurons: the role of PI 3-kinase
20001
7 200021
8 2000125
9 2000121
10 1999163
11 199926
12 199835
13 199769
14 199740
15 199679

About Gayle Middleton

Gayle Middleton is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Toxicology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Cell death mechanisms and regulation (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), NF-κB Signaling Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immune Response and Inflammation (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (191 citations), Cellular and Molecular Neuroscience (422 citations) and Neurology (99 citations). Gayle Middleton has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Alun M. Davies, Séan Wyatt, Vladimir L. Buchman, Makoto Hamanoue, Ellis Jaffray, Ronald T. Hay, Gabriel Núñez, Fleur Davey, Victoria Barker and Mark Hilton. Their work appears in journals such as Development, The Journal of Cell Biology, Journal of Neuroscience, Molecular and Cellular Neuroscience and The EMBO Journal.

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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