Aisling Carr

1.1k citations
31 papers · 212 · h-index 8

Impact in

  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • CNS Lymphoma Diagnosis and Treatment
    • Autoimmune Neurological Disorders and Treatments
    • Hereditary Neurological Disorders
    • Genetic Neurodegenerative Diseases

Papers in

    • Peripheral Neuropathies and Disorders 14
    • CNS Lymphoma Diagnosis and Treatment 3
    • Myasthenia Gravis and Thymoma 3
    • Glioma Diagnosis and Treatment 5
    • Chronic Lymphocytic Leukemia Research 3

Aisling Carr

26 papers receiving 207 citations

Peers

Aisling Carr
Comparison fields: 5 of 33
  • Neurology 93
  • Cellular and Molecular Neuroscience 79
  • Genetics 33
  • Neurology 15
  • Oncology 45
Replace Avi Fellner with:
Avi Fellner Israel
Daisuke Muta Japan
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Zhibiao Chen China
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Harold H G Tan Netherlands
Aya Haggiagi United States
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Jocelyne Attia‐Sobol France
Aisling Carr relative to Avi Fellner Israel Avi Fellner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aisling Carr

Since Specialization
Citations

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

Fields of papers citing papers by Aisling Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 201934
3 202018
4 201813
5 202411
6 20218
7 20218
8 20237
9 20237
10 20216
11 20256
12 20215
13 20195
14 20244
15 20254
16 20223
17 20243
18 20203
19 20252
20 20152

About Aisling Carr

Aisling Carr is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Oncology and Molecular Biology, having authored 31 papers that have together received 212 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (14 papers), Hereditary Neurological Disorders (7 papers), Glioma Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Brain Metastases and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Myasthenia Gravis and Thymoma (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Neurology (93 citations), Cellular and Molecular Neuroscience (79 citations), Genetics (33 citations), Neurology (15 citations) and Oncology (45 citations). Aisling Carr has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael P. Lunn, Mary M. Reilly, Alexander M. Rossor, Samra Turajlic, James Larkin, Lavinia Spain, Zayd Tippu, Ana L. Pelayo‐Negro, H S Chandrashekar and Davide Pareyson. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Journal of the Peripheral Nervous System, Blood, Muscle & Nerve and ESMO Open.

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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