Carolin K. Scriba

640 total citations
9 papers, 73 citations indexed

About

Carolin K. Scriba is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Carolin K. Scriba has authored 9 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Genetics. Recurrent topics in Carolin K. Scriba's work include Cardiomyopathy and Myosin Studies (5 papers), Muscle Physiology and Disorders (5 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Carolin K. Scriba is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Muscle Physiology and Disorders (5 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Carolin K. Scriba collaborates with scholars based in Australia, France and New Zealand. Carolin K. Scriba's co-authors include Gianina Ravenscroft, Joshua S. Clayton, Nigel G. Laing, Phillipa J. Lamont, Elizabeth Walker, Sarah J. Beecroft, Teddy Y. Wu, Miriam Rodrigues, Richard Roxburgh and Andrea Cortese and has published in prestigious journals such as Brain, Stem Cell Research and Brain Communications.

In The Last Decade

Carolin K. Scriba

6 papers receiving 72 citations

Peers

Carolin K. Scriba

CMN

GENET

CCM

NEURO

Zoe Dyer Australia

Tobias Brünger United States

Kristof Van Schil Belgium

Danique R.M. Vlaskamp Netherlands

Pablo Iruzubieta Spain

Vanessa C. Wheeler United States

Agustí Rodríguez‐Palmero Spain

Grace Salsbury United Kingdom

Natalia Dominik United Kingdom

Alicia Martínez‐Piñeiro Spain

Zoe Dyer Australia

Carolin K. Scriba

87 ×1.5

CMN

87 ×1.7

34 ×1.8

GENET

21 ×1.9

CCM

16 ×2.0

NEURO

Citations per year, relative to Carolin K. Scriba Carolin K. Scriba (= 1×) peers Zoe Dyer

Countries citing papers authored by Carolin K. Scriba

Since Specialization

Citations

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

Fields of papers citing papers by Carolin K. Scriba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolin K. Scriba. 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 Carolin K. Scriba. The network helps show where Carolin K. Scriba may publish in the future.

Co-authorship network of co-authors of Carolin K. Scriba

This figure shows the co-authorship network connecting the top 25 collaborators of Carolin K. Scriba. A scholar is included among the top collaborators of Carolin K. Scriba 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 Carolin K. Scriba. Carolin K. Scriba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Scriba, Carolin K., Miriam Rodrigues, Justin Kao, et al.. (2025). Nerve ultrasound, neuronopathy and cough predict sensory neuropathy patients with RFC1 expansions. Brain Communications. 7(6). fcaf434–fcaf434.

Clayton, Joshua S., Carolin K. Scriba, Edoardo Malfatti, et al.. (2024). Generation of two iPSC lines from patients with inherited central core disease and concurrent malignant hyperthermia caused by dominant missense variants in the RYR1 gene. Stem Cell Research. 77. 103410–103410.

Driver, K E, Carolin K. Scriba, Edoardo Malfatti, et al.. (2023). Generation of two induced pluripotent stem cell lines from a 33-year-old central core disease patient with a heterozygous dominant c.14145_14156delCTACTGGGACA (p.Asn4715_Asp4718del) deletion in the RYR1 gene. Stem Cell Research. 73. 103258–103258.

Scriba, Carolin K., Igor Stevanovski, Sanjog R. Chintalaphani, et al.. (2023). RFC1 in an Australasian neurological disease cohort: extending the genetic heterogeneity and implications for diagnostics. Brain Communications. 5(4). fcad208–fcad208. 9 indexed citations

Clayton, Joshua S., Carolin K. Scriba, Edoardo Malfatti, et al.. (2022). Generation of an induced pluripotent stem cell line from a 3-month-old nemaline myopathy patient with a heterozygous dominant c.515C > A (p.Ala172Glu) variant in the ACTA1 gene. Stem Cell Research. 63. 102829–102829. 1 indexed citations

Scriba, Carolin K., Edoardo Malfatti, Norma B. Romero, et al.. (2022). Generation of two isogenic induced pluripotent stem cell lines from a 1-month-old nemaline myopathy patient harbouring a homozygous recessive c.121C > T (p.Arg39Ter) variant in the ACTA1 gene. Stem Cell Research. 63. 102830–102830. 1 indexed citations

Clayton, Joshua S., Carolin K. Scriba, Norma B. Romero, et al.. (2021). Generation of two isogenic induced pluripotent stem cell lines from a 4-month-old severe nemaline myopathy patient with a heterozygous dominant c.553C > A (p.Arg183Ser) variant in the ACTA1 gene. Stem Cell Research. 53. 102273–102273. 6 indexed citations

Clayton, Joshua S., Carolin K. Scriba, Norma B. Romero, et al.. (2021). Generation of two isogenic induced pluripotent stem cell lines from a 10-year-old typical nemaline myopathy patient with a heterozygous dominant c.541G>A (p.Asp179Asn) pathogenic variant in the ACTA1 gene. Stem Cell Research. 55. 102482–102482. 3 indexed citations

Scriba, Carolin K., Sarah J. Beecroft, Joshua S. Clayton, et al.. (2020). A novel RFC1 repeat motif (ACAGG) in two Asia-Pacific CANVAS families. Brain. 143(10). 2904–2910. 53 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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