Jonathan Carr

3.7k total citations
76 papers, 1.7k citations indexed

About

Jonathan Carr is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jonathan Carr has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Neurology, 21 papers in Cellular and Molecular Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Jonathan Carr's work include Parkinson's Disease Mechanisms and Treatments (36 papers), Neurological disorders and treatments (19 papers) and Genetic Neurodegenerative Diseases (13 papers). Jonathan Carr is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (36 papers), Neurological disorders and treatments (19 papers) and Genetic Neurodegenerative Diseases (13 papers). Jonathan Carr collaborates with scholars based in South Africa, United States and United Kingdom. Jonathan Carr's co-authors include Soraya Bardien, William Haylett, Shameemah Abrahams, Glynis Johnson, Alexis Brice, Suzanne Lesage, Robin Emsley, Hugo Botha, Piet Oosthuizen and Theo Nell and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Jonathan Carr

73 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Carr South Africa 24 746 427 367 270 203 76 1.7k
Xueping Chen China 30 1.5k 2.0× 674 1.6× 330 0.9× 372 1.4× 421 2.1× 172 2.6k
Lin Shi China 24 499 0.7× 531 1.2× 524 1.4× 509 1.9× 272 1.3× 144 2.4k
Claudio Frank Italy 25 169 0.2× 680 1.6× 724 2.0× 388 1.4× 251 1.2× 71 1.7k
Bipul Ray India 15 155 0.2× 523 1.2× 198 0.5× 328 1.2× 212 1.0× 25 1.2k
Jianqing Ding China 34 554 0.7× 953 2.2× 624 1.7× 1.0k 3.8× 678 3.3× 83 3.2k
Chaitali Ghosh United States 23 407 0.5× 626 1.5× 508 1.4× 208 0.8× 499 2.5× 68 2.4k
Eiji Kondo Japan 24 313 0.4× 948 2.2× 1.0k 2.8× 1.3k 4.7× 114 0.6× 139 3.1k
Madelyn C. Houser United States 15 1.0k 1.3× 885 2.1× 335 0.9× 555 2.1× 587 2.9× 36 2.4k
Eugenio Cavalli Italy 26 186 0.2× 527 1.2× 262 0.7× 363 1.3× 131 0.6× 40 1.7k

Countries citing papers authored by Jonathan Carr

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Carr. A scholar is included among the top collaborators of Jonathan Carr 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 Jonathan Carr. Jonathan Carr 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.
Heuvel, Leigh L. van den, Soraya Bardien, Jonathan Carr, et al.. (2025). Association between the relative abundance of butyrate-producing and mucin-degrading taxa and Parkinson’s disease. Neuroscience. 576. 149–154. 1 indexed citations
2.
Tonge, Daniel, Leigh L. van den Heuvel, Laila Asmal, et al.. (2025). Investigating the Blood Microbiome in Parkinson's Disease, Schizophrenia, and Posttraumatic Stress Disorder. Brain and Behavior. 15(6). e70629–e70629.
3.
Guttman, Mark, et al.. (2024). Atypical Presentations of Huntington Disease‐like 2 in South African Individuals. Movement Disorders Clinical Practice. 11(7). 850–854.
4.
Warwick, James, et al.. (2024). Ictal SPECT Imaging Findings in Parkinson's Disease with Rapid Eye Movement Sleep Behavior Disorder. Movement Disorders Clinical Practice. 12(4). 437–445.
5.
Hemmings, Sian, Patricia Swart, Leigh L. van den Heuvel, et al.. (2022). RNA-seq analysis of gene expression profiles in posttraumatic stress disorder, Parkinson’s disease and schizophrenia identifies roles for common and distinct biological pathways. Discover Mental Health. 2(1). 6–6. 7 indexed citations
6.
Parkes, Jeannette, et al.. (2021). PET-CT in brain disorders: The South African context. SHILAP Revista de lepidopterología. 25(1). 2201–2201. 4 indexed citations
7.
Abrahams, Shameemah, et al.. (2021). Movement of prion‐like α‐synuclein along the gut–brain axis in Parkinson's disease: A potential target of curcumin treatment. European Journal of Neuroscience. 54(2). 4695–4711. 17 indexed citations
8.
9.
Spies, Georgina, Jolynne Mokaya, Martin Kidd, et al.. (2020). Attitudes among South African university staff and students towards disclosing secondary genetic findings. Journal of Community Genetics. 12(1). 171–184. 3 indexed citations
10.
Heuvel, Leigh L. van den, Stefan S. du Plessis, Tobias Stalder, et al.. (2020). Hair glucocorticoid levels in Parkinson’s disease. Psychoneuroendocrinology. 117. 104704–104704. 20 indexed citations
11.
Anderson, David G., et al.. (2019). Frequency of the LRRK2 G2019S mutation in South African patients with Parkinson’s disease. Neurogenetics. 20(4). 215–218. 9 indexed citations
12.
Emsley, Robin, Bonginkosi Chiliza, Laila Asmal, et al.. (2017). Neurological soft signs in first-episode schizophrenia: State- and trait-related relationships to psychopathology, cognition and antipsychotic medication effects. Schizophrenia Research. 188. 144–150. 27 indexed citations
13.
Carr, Jonathan. (2016). In memoriam Raul De la Fuente-Fernández 1959–2016. Parkinsonism & Related Disorders. 31. 1–2. 1 indexed citations
14.
Carr, Jonathan. (2013). Movement disorders in the elderly. CME/Continuing medical education. 31(10). 377–378. 1 indexed citations
15.
Glanzmann, Brigitte, et al.. (2013). Screening of two indel polymorphisms in the 5′UTR of the DJ-1 gene in South African Parkinson’s disease patients. Journal of Neural Transmission. 121(2). 135–138. 11 indexed citations
16.
Carr, Jonathan, et al.. (2013). EIF4G1 R1205H and VPS35 D620N mutations are rare in Parkinson's disease from South Africa. Neurobiology of Aging. 35(2). 445.e1–445.e3. 24 indexed citations
17.
Carr, Jonathan, et al.. (2012). Stem cell therapy and amyotrophic lateral sclerosis. South African Medical Journal. 102(6). 336–336. 1 indexed citations
18.
Botha, Hugo & Jonathan Carr. (2012). Attention and visual dysfunction in Parkinson's disease. Parkinsonism & Related Disorders. 18(6). 742–747. 42 indexed citations
19.
Merwe, Lize van der, Mauritz Venter, Craig Kinnear, et al.. (2009). Identification of a novel functional deletion variant in the 5'-UTR of the DJ-1 gene. BMC Medical Genetics. 10(1). 105–105. 12 indexed citations
20.
Kotze, Maritha J., J. Nico P. de Villiers, Louise Warnich, et al.. (2006). Lack of clinical manifestation of hereditary haemochromatosis in South African patients with multiple sclerosis. Metabolic Brain Disease. 21(2-3). 105–116. 16 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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