Carolina Barnett

3.4k total citations
113 papers, 2.0k citations indexed

About

Carolina Barnett is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carolina Barnett has authored 113 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Neurology, 15 papers in Physiology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carolina Barnett's work include Myasthenia Gravis and Thymoma (60 papers), Peripheral Neuropathies and Disorders (42 papers) and Parkinson's Disease and Spinal Disorders (37 papers). Carolina Barnett is often cited by papers focused on Myasthenia Gravis and Thymoma (60 papers), Peripheral Neuropathies and Disorders (42 papers) and Parkinson's Disease and Spinal Disorders (37 papers). Carolina Barnett collaborates with scholars based in Canada, United States and Saudi Arabia. Carolina Barnett's co-authors include Vera Bril, Hans Katzberg, Ari Breiner, Alon Abraham, Leif E. Lovblom, Bruce A. Perkins, Deepak Menon, Aileen M. Davis, Yana Yunusova and Karen Tu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Carolina Barnett

106 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carolina Barnett Canada 27 1.6k 316 224 167 147 113 2.0k
Anna Rostedt Punga Sweden 26 1.3k 0.8× 310 1.0× 100 0.4× 122 0.7× 151 1.0× 80 1.8k
Ari Breiner Canada 22 967 0.6× 79 0.3× 335 1.5× 386 2.3× 200 1.4× 82 1.4k
Laura Herbelin United States 20 1.4k 0.9× 212 0.7× 219 1.0× 252 1.5× 154 1.0× 56 2.3k
Jong Seok Bae South Korea 23 901 0.6× 72 0.2× 140 0.6× 321 1.9× 197 1.3× 118 1.5k
Dimitri Renard France 18 519 0.3× 55 0.2× 223 1.0× 96 0.6× 81 0.6× 147 1.1k
Benjamin R. Wakerley United Kingdom 22 1.4k 0.9× 115 0.4× 92 0.4× 500 3.0× 111 0.8× 67 1.9k
Man Li China 13 819 0.5× 637 2.0× 50 0.2× 80 0.5× 61 0.4× 24 1.4k
Ronit Gilad Israel 20 388 0.2× 50 0.2× 200 0.9× 178 1.1× 96 0.7× 75 1.2k
Amir Hadanny Israel 21 418 0.3× 74 0.2× 109 0.5× 49 0.3× 142 1.0× 65 1.4k
Narges Karimi Iran 15 846 0.5× 601 1.9× 55 0.2× 74 0.4× 58 0.4× 53 1.2k

Countries citing papers authored by Carolina Barnett

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Barnett. A scholar is included among the top collaborators of Carolina Barnett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carolina Barnett. Carolina Barnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Buzzard, Katherine, Anneke van der Walt, Helmut Butzkueven, et al.. (2025). MGBase: A Global, Observational Registry for Collaborative Research in Myasthenia Gravis. Muscle & Nerve. 72(3). 424–432. 2 indexed citations
2.
Abrahão, Agessandro, et al.. (2024). Sex, racial, and ethnic disparities in motor neuron disease: clinical trial enrolment. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(7-8). 694–701.
3.
Fathi, Davood, Ali Naraghi, Lawrence M. White, et al.. (2024). Whole‐body magnetic resonance neurography in patients with chronic inflammatory demyelinating polyneuropathy. Muscle & Nerve. 70(1). 101–110. 2 indexed citations
4.
Kim, Raymond H., et al.. (2023). Incidence and prevalence of neurofibromatosis type 1 and 2: a systematic review and meta-analysis. Orphanet Journal of Rare Diseases. 18(1). 292–292. 29 indexed citations
5.
Merker, Vanessa L., Pamela L. Wolters, Frank D. Buono, et al.. (2023). Recommendations for assessing appearance concerns related to plexiform and cutaneous neurofibromas in neurofibromatosis 1 clinical trials. Clinical Trials. 21(1). 6–17. 2 indexed citations
6.
Idiáquez, Juan, et al.. (2023). Assessing diabetic polyneuropathy in Spanish‐speaking patients: Translation and validation of the Toronto Clinical Neuropathy Score. Journal of the Peripheral Nervous System. 28(3). 471–475. 2 indexed citations
7.
Barnett, Carolina, et al.. (2023). Clinical characteristics and treatment outcomes in patients with double‐seronegative myasthenia gravis. European Journal of Neurology. 31(1). e16022–e16022. 9 indexed citations
8.
Izenberg, Aaron, et al.. (2023). Pregnancy planning may impact maternal and neonatal outcomes in people with myasthenia gravis. Muscle & Nerve. 69(3). 318–324. 1 indexed citations
10.
Menon, Deepak, et al.. (2023). Demographic and clinical determinants of the quality of life in adults with inherited and acquired myopathies. European Journal of Neurology. 30(8). 2518–2524.
11.
12.
Menon, Deepak, Hans Katzberg, Carolina Barnett, et al.. (2021). Thymoma pathology and myasthenia gravis outcomes. Muscle & Nerve. 63(6). 868–873. 14 indexed citations
13.
Menon, Deepak, et al.. (2021). Myasthenia Gravis and Pregnancy: Toronto Specialty Center Experience. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 48(6). 1–5. 14 indexed citations
14.
Vijayan, Joy, Deepak Menon, Carolina Barnett, et al.. (2021). Clinical profile and impact of comorbidities in patients with very‐late‐onset myasthenia gravis. Muscle & Nerve. 64(4). 462–466. 27 indexed citations
15.
Menon, Deepak, Carolina Barnett, Joy Vijayan, et al.. (2021). Telephone consultation for myasthenia gravis care during the COVID‐19 pandemic: Assessment of a novel virtual myasthenia gravis index. Muscle & Nerve. 63(6). 831–836. 11 indexed citations
16.
Barnett, Carolina & Vera Bril. (2020). New insights into very-late-onset myasthenia gravis. Nature Reviews Neurology. 16(6). 299–300. 12 indexed citations
17.
Waito, Ashley A., Carolina Barnett, Sanjana Shellikeri, et al.. (2020). Validation of Articulatory Rate and Imprecision Judgments in Speech of Individuals With Amyotrophic Lateral Sclerosis. American Journal of Speech-Language Pathology. 30(1). 137–149. 5 indexed citations
18.
Hehir, Michael K., Lisa D. Hobson‐Webb, Michael Benatar, et al.. (2017). Rituximab as treatment for anti-MuSK myasthenia gravis. Neurology. 89(10). 1069–1077. 166 indexed citations
19.
Abraham, Alon, Majed Alabdali, Ari Breiner, et al.. (2015). Elevated Vibration Perception Thresholds in CIDP Patients Indicate More Severe Neuropathy and Lower Treatment Response Rates. PLoS ONE. 10(11). e0139689–e0139689. 7 indexed citations
20.
Breiner, Ari, Carolina Barnett, & Vera Bril. (2014). Incat disability score: A critical analysis of its measurement properties. Muscle & Nerve. 50(2). 164–169. 48 indexed citations

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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