Alan Gill

1.6k citations
36 papers · 1.3k · h-index 20

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 10
    • Neurogenetic and Muscular Disorders Research 4

Alan Gill

33 papers receiving 1.2k citations

Peers

Alan Gill
Comparison fields: 5 of 96
  • Neurology 387
  • Genetics 155
  • Immunology and Allergy 73
  • Neurology 79
  • Physiology 29
Replace Liliana Viera with:
Liliana Viera United States
Hiroki Sawa Japan
Yongming Qiu China
Jincai Luo China
Xiuli Jiang China
Shobu Shibata Japan
Hans‐Herbert Steiner Germany
Jared Iacovelli United States
Herwig Matthias Strik Germany
Klaudyna Kojder Poland
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Citations per field
00.5×1.6×
Liliana Viera · 1×
Citations per year

Countries citing papers authored by Alan Gill

Since Specialization
Citations

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

Fields of papers citing papers by Alan Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005129
2 1993120
3 2010105
4 201583
5 200082
6 200978
7 200876
8 201570
9 201955
10 199253
11 200252
12 201747
13 200346
14 202342
15 199338
16 200337
17 201734
18 199632
19 200923
20 201423

About Alan Gill

Alan Gill is a scholar working on Neurology, Genetics, Immunology and Allergy, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neonatal Respiratory Health Research (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Immune Response and Inflammation (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Neurology (387 citations), Genetics (155 citations), Immunology and Allergy (73 citations), Neurology (79 citations) and Physiology (29 citations). Alan Gill has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Alan Michael Weindling, Fernando G. Vieira, Joshua D. Kidd, Kenneth Thompson, Steven Perrin, Theo Hatzipetros, Andy J. Moreno, Beth A. Levine, Monica Z. Wang and Ko‐Chung Lin. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, Bioorganic & Medicinal Chemistry Letters, Archives of Disease in Childhood and Journal of Cardiovascular Pharmacology.

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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