Keren Carss

12.3k total citations
29 papers, 782 citations indexed

About

Keren Carss is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, Keren Carss has authored 29 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Ophthalmology. Recurrent topics in Keren Carss's work include Retinal Development and Disorders (15 papers), Retinal Diseases and Treatments (8 papers) and Genomics and Rare Diseases (7 papers). Keren Carss is often cited by papers focused on Retinal Development and Disorders (15 papers), Retinal Diseases and Treatments (8 papers) and Genomics and Rare Diseases (7 papers). Keren Carss collaborates with scholars based in United Kingdom, United States and Australia. Keren Carss's co-authors include Gavin Arno, Andrew R. Webster, F. Lucy Raymond, Michel Michaelides, Mark D. Kilby, Sarah Hillman, Anthony T. Moore, Dominic McMullan, Eamonn R. Maher and Vijaya Parthiban and has published in prestigious journals such as Nature Reviews Drug Discovery, Ophthalmology and The American Journal of Human Genetics.

In The Last Decade

Keren Carss

29 papers receiving 759 citations

Peers

Keren Carss
Matthew A. Lines Canada
Rosemary Burgess Australia
Raúl Sanz Spain
Libe Gradstein Israel
Sébastien Augustin France
Timothy J. Schoen United States
Natalya Merezhinskaya United States
Alessandra Maresca Italy
F. Carrara Italy
Matthew A. Lines Canada
Keren Carss
Citations per year, relative to Keren Carss Keren Carss (= 1×) peers Matthew A. Lines

Countries citing papers authored by Keren Carss

Since Specialization
Citations

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

Fields of papers citing papers by Keren Carss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keren Carss

This figure shows the co-authorship network connecting the top 25 collaborators of Keren Carss. A scholar is included among the top collaborators of Keren Carss 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 Keren Carss. Keren Carss 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.
Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations
2.
Carss, Keren, Aimée M. Deaton, Alberto Del Río-Espínola, et al.. (2022). Using human genetics to improve safety assessment of therapeutics. Nature Reviews Drug Discovery. 22(2). 145–162. 42 indexed citations
3.
Dubé, Marie‐Pierre, Olympe Chazara, Audrey Lemaçon, et al.. (2022). Pharmacogenomic Study of Heart Failure and Candesartan Response from the CHARM Programme. ESC Heart Failure. 9(5). 2997–3008. 5 indexed citations
4.
Wang, Jun, Rola Ba‐Abbad, Qingnan Liang, et al.. (2020). Ceramide synthase TLCD3B is a novel gene associated with human recessive retinal dystrophy. Genetics in Medicine. 23(3). 488–497. 12 indexed citations
5.
Sanchis‐Juan, Alba, Amy McTague, Katy Barwick, et al.. (2020). Structural analysis of pathogenic missense mutations in GABRA2 and identification of a novel de novo variant in the desensitization gate. Molecular Genetics & Genomic Medicine. 8(7). e1106–e1106. 6 indexed citations
6.
Povysil, Gundula, Olympe Chazara, Keren Carss, et al.. (2020). Assessing the Role of Rare Genetic Variation in Patients With Heart Failure. JAMA Cardiology. 6(4). 379–379. 25 indexed citations
7.
Sanchis‐Juan, Alba, Keren Carss, Courtney E. French, et al.. (2019). Rare Genetic Variation in 135 Families With Family History Suggestive of X-Linked Intellectual Disability. Frontiers in Genetics. 10. 578–578. 4 indexed citations
8.
Arno, Gavin, Valentina Cipriani, Nikolas Pontikos, et al.. (2019). Unique noncoding variants upstream of PRDM13 are associated with a spectrum of developmental retinal dystrophies including progressive bifocal chorioretinal atrophy. Human Mutation. 40(5). 578–587. 12 indexed citations
9.
Khan, Kamron N., Anthony G. Robson, Omar A. Mahroo, et al.. (2018). A clinical and molecular characterisation of CRB1-associated maculopathy. European Journal of Human Genetics. 26(5). 687–694. 54 indexed citations
10.
Fiorentino, Alessia, Jing Yu, Gavin Arno, et al.. (2018). Novel homozygous splicing mutations in ARL2BP cause autosomal recessive retinitis pigmentosa.. PubMed. 24. 603–612. 6 indexed citations
11.
Ba‐Abbad, Rola, Monique Leys, Xinjing Wang, et al.. (2018). Clinical Features of a Retinopathy Associated With a Dominant Allele of the RGR Gene. Investigative Ophthalmology & Visual Science. 59(12). 4812–4812. 10 indexed citations
12.
Khan, Kamron N., Mohammed E. El‐Asrag, Cristy A. Ku, et al.. (2017). Specific Alleles of CLN7 / MFSD8 , a Protein That Localizes to Photoreceptor Synaptic Terminals, Cause a Spectrum of Nonsyndromic Retinal Dystrophy. Investigative Ophthalmology & Visual Science. 58(7). 2906–2906. 38 indexed citations
13.
Ku, Cristy A., Sarah Hull, Gavin Arno, et al.. (2017). Detailed Clinical Phenotype and Molecular Genetic Findings in CLN3-Associated Isolated Retinal Degeneration. JAMA Ophthalmology. 135(7). 749–749. 52 indexed citations
14.
Arno, Gavin, Sarah Hull, Keren Carss, et al.. (2016). Reevaluation of the Retinal Dystrophy Due to Recessive Alleles of RGR With the Discovery of a Cis-Acting Mutation in CDHR1. Investigative Ophthalmology & Visual Science. 57(11). 4806–4806. 18 indexed citations
15.
Ba‐Abbad, Rola, Gavin Arno, Keren Carss, et al.. (2015). Mutations in CACNA2D4 Cause Distinctive Retinal Dysfunction in Humans. Ophthalmology. 123(3). 668–671.e2. 29 indexed citations
16.
Grozeva, Detelina, Keren Carss, Olivera Spasić-Bošković, et al.. (2014). De Novo Loss-of-Function Mutations in SETD5, Encoding a Methyltransferase in a 3p25 Microdeletion Syndrome Critical Region, Cause Intellectual Disability. The American Journal of Human Genetics. 94(4). 618–624. 89 indexed citations
17.
Carss, Keren, Sarah Hillman, Vijaya Parthiban, et al.. (2014). Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound. Human Molecular Genetics. 23(12). 3269–3277. 128 indexed citations
18.
Mackie, Fiona L., Keren Carss, Sarah Hillman, Matthew E. Hurles, & Mark D. Kilby. (2014). Exome Sequencing in Fetuses with Structural Malformations. Journal of Clinical Medicine. 3(3). 747–762. 15 indexed citations
19.
Wynn, Elizabeth, Gabriela Sánchez-Andrade, Keren Carss, & Darren W. Logan. (2012). Genomic variation in the vomeronasal receptor gene repertoires of inbred mice. BMC Genomics. 13(1). 415–415. 27 indexed citations
20.
Carss, Keren, Michael Stowasser, Richard D. Gordon, & Kevin M. O’Shaughnessy. (2010). Further study of chromosome 7p22 to identify the molecular basis of familial hyperaldosteronism type II. Journal of Human Hypertension. 25(9). 560–564. 29 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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