Gilmore O’Neill

2.6k citations
27 papers · 2.0k indexed · h-index 20

Impact in

Papers in

Gilmore O’Neill

27 papers receiving 1.9k citations

Peers

Gilmore O’Neill
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 941
  • Neurology 705
  • Neurology 205
  • Genetics 229
  • Immunology 452
Replace Déborah Bauer with:
Déborah Bauer United States
Alain Moussy France
Jing‐Ping Lin United States
Tracy Stites United States
Judith C. Fleming United States
Gordon Francis United States
Theresa Davies‐Hill United States
Elena Fumagalli Italy
Claus G. Haase Germany
Goeril Karlsson Switzerland
Gilmore O’Neill relative to Déborah Bauer United States Déborah Bauer's profile →
Citations per field
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Déborah Bauer · 1×
Citations per year

Countries citing papers authored by Gilmore O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Gilmore O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilmore O’Neill. 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 Gilmore O’Neill. The network helps show where Gilmore O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201661
2 2015199
3 201523
4 201473
5 20133
6 2013218
7 201226
8 201154
9 201044
10 201037
11 2010234
12 200957
13 200823
14 2008375
15 2003215
16 200311
17
Adult neuronal ceroid lipofuscinosis (Kufs' disease) in two siblings of an Irish family.
20034
18 199821
19
Chronic occult intra-alveolar hemorrhage: a rare cause of failure to respond to erythropoietin.
19945
20 19932

About Gilmore O’Neill

Gilmore O’Neill is a scholar working on Pathology and Forensic Medicine, Rheumatology, Neurology, Genetics and Immunology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Neurogenetic and Muscular Disorders Research (3 papers), Immunotherapy and Immune Responses (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (941 citations), Neurology (705 citations), Neurology (205 citations), Genetics (229 citations) and Immunology (452 citations). Gilmore O’Neill has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Eva Havrdová, Jacob Elkins, Ralf Gold, Xavier Montalbán, Ludwig Kappos, Krzysztof Selmaj, Katherine Riester, John Rose, Michael D. Kaufman and Robert H. Brown. Their work appears in journals such as Neurology, The Lancet Neurology, The Lancet, PLoS ONE and Patient Preference and Adherence.

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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