Joanna L. Elson

6.9k total citations
104 papers, 4.8k citations indexed

About

Joanna L. Elson is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joanna L. Elson has authored 104 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 35 papers in Clinical Biochemistry and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joanna L. Elson's work include Mitochondrial Function and Pathology (59 papers), Metabolism and Genetic Disorders (35 papers) and Genetic Neurodegenerative Diseases (16 papers). Joanna L. Elson is often cited by papers focused on Mitochondrial Function and Pathology (59 papers), Metabolism and Genetic Disorders (35 papers) and Genetic Neurodegenerative Diseases (16 papers). Joanna L. Elson collaborates with scholars based in United Kingdom, South Africa and United States. Joanna L. Elson's co-authors include Douglass M. Turnbull, Neil Howell, Patrick F. Chinnery, Robert McFarland, Robert W. Taylor, David C. Samuels, Nils‐Göran Larsson, James B. Stewart, Christoph Freyer and Ilse S. Pienaar and has published in prestigious journals such as Nature, The Lancet and The Journal of Experimental Medicine.

In The Last Decade

Joanna L. Elson

102 papers receiving 4.7k citations

Peers

Joanna L. Elson
Joanna L. Elson
Citations per year, relative to Joanna L. Elson Joanna L. Elson (= 1×) peers Kiyoshi Hayasaka

Countries citing papers authored by Joanna L. Elson

Since Specialization
Citations

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

Fields of papers citing papers by Joanna L. Elson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna L. Elson. 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 Joanna L. Elson. The network helps show where Joanna L. Elson may publish in the future.

Co-authorship network of co-authors of Joanna L. Elson

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna L. Elson. A scholar is included among the top collaborators of Joanna L. Elson 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 Joanna L. Elson. Joanna L. Elson 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.
Vila‐Sanjurjo, Antón, Natalia Mallo, John F. Atkins, Joanna L. Elson, & Paul Smith. (2023). Our current understanding of the toxicity of altered mito-ribosomal fidelity during mitochondrial protein synthesis: What can it tell us about human disease?. Frontiers in Physiology. 14. 1082953–1082953. 4 indexed citations
2.
Pfaff, Abigail L., Ilse S. Pienaar, Sulev Kõks, et al.. (2022). Mitochondrial DNA variation in Parkinson’s disease: Analysis of “out-of-place” population variants as a risk factor. Frontiers in Aging Neuroscience. 14. 921412–921412. 12 indexed citations
4.
Pienaar, Ilse S., et al.. (2021). Investigation of the correlation between mildly deleterious mtDNA Variations and the clinical progression of multiple sclerosis. Multiple Sclerosis and Related Disorders. 53. 103055–103055. 3 indexed citations
5.
Sharma, Puneet, Lisa Wells, Gaia Rizzo, et al.. (2020). DREADD Activation of Pedunculopontine Cholinergic Neurons Reverses Motor Deficits and Restores Striatal Dopamine Signaling in Parkinsonian Rats. Neurotherapeutics. 17(3). 1120–1141. 21 indexed citations
6.
Tomas, Cara, et al.. (2019). Assessing cellular energy dysfunction in CFS/ME using a commercially available laboratory test. Scientific Reports. 9(1). 11464–11464. 10 indexed citations
7.
Queen, Rachel, Jannetta S. Steyn, Phillip Lord, & Joanna L. Elson. (2017). Mitochondrial DNA sequence context in the penetrance of mitochondrial t-RNA mutations: A study across multiple lineages with diagnostic implications. PLoS ONE. 12(11). e0187862–e0187862. 17 indexed citations
8.
Gorman, Gráinne S., Joanna L. Elson, Jane Newman, et al.. (2015). Perceived fatigue is highly prevalent and debilitating in patients with mitochondrial disease. Neuromuscular Disorders. 25(7). 563–566. 71 indexed citations
9.
Elson, Joanna L., Paul Smith, Laura C. Greaves, et al.. (2015). The presence of highly disruptive 16S rRNA mutations in clinical samples indicates a wider role for mutations of the mitochondrial ribosome in human disease. Mitochondrion. 25. 17–27. 28 indexed citations
10.
Craven, Lyndsey, Joanna L. Elson, Laura Irving, et al.. (2011). Mitochondrial DNA disease: new options for prevention. Human Molecular Genetics. 20(R2). R168–R174. 46 indexed citations
11.
Yarham, John W., Joanna L. Elson, Emma L. Blakely, Robert McFarland, & Robert W. Taylor. (2010). Mitochondrial tRNA mutations and disease. Wiley Interdisciplinary Reviews - RNA. 1(2). 304–324. 139 indexed citations
12.
Reeve, Amy K., Kim J. Krishnan, Geoffrey A. Taylor, et al.. (2009). The low abundance of clonally expanded mitochondrial DNA point mutations in aged substantia nigra neurons. Aging Cell. 8(4). 496–498. 24 indexed citations
13.
Elstner, Matthias, Caroline Schmidt, Holger Prokisch, et al.. (2008). Mitochondrial 12S rRNA susceptibility mutations in aminoglycoside-associated and idiopathic bilateral vestibulopathy. Biochemical and Biophysical Research Communications. 377(2). 379–383. 19 indexed citations
14.
Stewart, James B., Christoph Freyer, Joanna L. Elson, & Nils‐Göran Larsson. (2008). Purifying selection of mtDNA and its implications for understanding evolution and mitochondrial disease. Nature Reviews Genetics. 9(9). 657–662. 138 indexed citations
15.
Baudouin, Simon, David Saunders, Watcharee Tiangyou, et al.. (2005). Mitochondrial DNA and survival after sepsis: a prospective study. The Lancet. 366(9503). 2118–2121. 136 indexed citations
16.
Howell, Neil, Joanna L. Elson, Douglass M. Turnbull, & Corinna Herrnstadt. (2004). African Haplogroup L mtDNA Sequences Show Violations of Clock-like Evolution. Molecular Biology and Evolution. 21(10). 1843–1854. 39 indexed citations
17.
Herrnstadt, Corinna, Joanna L. Elson, Eoin Fahy, et al.. (2002). Reduced-Median-Network Analysis of Complete Mitochondrial DNA Coding-Region Sequences for the Major African, Asian, and European Haplogroups. The American Journal of Human Genetics. 70(5). 1152–1171. 414 indexed citations
18.
Elson, Joanna L., David C. Samuels, Mary A. Johnson, David Turnbull, & Patrick F. Chinnery. (2002). The length of cytochrome c oxidase-negative segments in muscle fibres in patients with mtDNA myopathy. Neuromuscular Disorders. 12(9). 858–864. 19 indexed citations
19.
Elson, Joanna L., David C. Samuels, Douglass M. Turnbull, & Patrick F. Chinnery. (2001). Random Intracellular Drift Explains the Clonal Expansion of Mitochondrial DNA Mutations with Age. The American Journal of Human Genetics. 68(3). 802–806. 260 indexed citations
20.
Allan, David, Joanna L. Elson, W. P. H. Duffus, & K. James. (1971). The loss of the immunosuppressive properties of anti-lymphocytic globulin following absorption with immunizing antigen (sheep erythrocytes).. PubMed Central. 8(1). 101–5. 2 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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