Karin S. Kassahn

28.4k total citations
32 papers, 1.7k citations indexed

About

Karin S. Kassahn is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Karin S. Kassahn has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Immunology. Recurrent topics in Karin S. Kassahn's work include Genomics and Rare Diseases (7 papers), RNA and protein synthesis mechanisms (5 papers) and Aquaculture disease management and microbiota (4 papers). Karin S. Kassahn is often cited by papers focused on Genomics and Rare Diseases (7 papers), RNA and protein synthesis mechanisms (5 papers) and Aquaculture disease management and microbiota (4 papers). Karin S. Kassahn collaborates with scholars based in Australia, United Kingdom and United States. Karin S. Kassahn's co-authors include Ross H. Crozier, M. Julian Caley, Mark A. Ragan, Dang Vinh, Hans‐Otto Pörtner, Alister C. Ward, Glenn Stone, Sean M. Grimmond, Nicola Waddell and Andrew V. Biankin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Karin S. Kassahn

31 papers receiving 1.6k citations

Peers

Karin S. Kassahn
Federica Di Palma United Kingdom
Peng Hu China
Kazuyuki Hoshijima United States
Rui Hou China
James A. Coffman United States
Shoji Oda Japan
Adrian Alexa Germany
Karin S. Kassahn
Citations per year, relative to Karin S. Kassahn Karin S. Kassahn (= 1×) peers Ricard Albalat

Countries citing papers authored by Karin S. Kassahn

Since Specialization
Citations

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

Fields of papers citing papers by Karin S. Kassahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin S. Kassahn. 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 Karin S. Kassahn. The network helps show where Karin S. Kassahn may publish in the future.

Co-authorship network of co-authors of Karin S. Kassahn

This figure shows the co-authorship network connecting the top 25 collaborators of Karin S. Kassahn. A scholar is included among the top collaborators of Karin S. Kassahn 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 Karin S. Kassahn. Karin S. Kassahn 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.
Taylor, Natalie, Bruce Bennetts, Gladys Ho, et al.. (2025). Genomic Screening Consortium for Australian Newborns (GenSCAN). Journal of Paediatrics and Child Health. 61(9). 1438–1443.
2.
Best, Stephanie, C. Richards, Michael C. Quinn, et al.. (2024). Reanalysis of genomic data in rare disease: current practice and attitudes among Australian clinical and laboratory genetics services. European Journal of Human Genetics. 32(11). 1428–1435. 2 indexed citations
3.
Rozek, Tomas, et al.. (2024). The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges. International Journal of Neonatal Screening. 10(3). 42–42. 6 indexed citations
4.
Barnett, Christopher F., Mary‐Louise Freckmann, Matthew F. Hunter, et al.. (2024). Critically unwell infants and children with mitochondrial disorders diagnosed by ultrarapid genomic sequencing. Genetics in Medicine. 27(1). 101293–101293. 1 indexed citations
5.
Ghaoui, Roula, Thuong Ha, Jennifer Kerkhof, et al.. (2023). Expanding the phenotype of DNMT3A as a cause a congenital myopathy with rhabdomyolysis. Neuromuscular Disorders. 33(6). 484–489. 3 indexed citations
6.
Byrne, Alicia B., Peer Arts, Steven W. Polyak, et al.. (2019). Identification and targeted management of a neurodegenerative disorder caused by biallelic mutations in SLC5A6. npj Genomic Medicine. 4(1). 28–28. 16 indexed citations
7.
Sousa, Sunita M C De, Karin S. Kassahn, Liam McIntyre, et al.. (2016). Case report of whole genome sequencing in the XY female: identification of a novel SRY mutation and revision of a misdiagnosis of androgen insensitivity syndrome. BMC Endocrine Disorders. 16(1). 58–58. 3 indexed citations
8.
Mordaunt, Dylan, Liam McIntyre, Drago Bratkovic, et al.. (2015). Presentation of m.3243A>G (MT‐TL1; tRNALeu) variant with focal neurology in infancy. American Journal of Medical Genetics Part A. 167(11). 2697–2701. 3 indexed citations
9.
Johns, Amber L., David K. Miller, Skye H. Simpson, et al.. (2014). Returning individual research results for genome sequences of pancreatic cancer. Genome Medicine. 6(5). 42–42. 14 indexed citations
10.
Goh, Chi Ching, et al.. (2013). Cerebellar Output in Zebrafish: An Analysis of Spatial Patterns and Topography in Eurydendroid Cell Projections. Frontiers in Neural Circuits. 7. 53–53. 62 indexed citations
11.
Tang, Yue, Siew Ping Han, Karin S. Kassahn, et al.. (2012). Complex Evolutionary Relationships Among Four Classes of Modular RNA-Binding Splicing Regulators in Eukaryotes: The hnRNP, SR, ELAV-Like and CELF Proteins. Journal of Molecular Evolution. 75(5-6). 214–228. 10 indexed citations
12.
Kolle, Gabriel, Brooke Gardiner, Karin S. Kassahn, et al.. (2011). Deep-transcriptome and ribonome sequencing redefines the molecular networks of pluripotency and the extracellular space in human embryonic stem cells. Genome Research. 21(12). 2014–2025. 21 indexed citations
13.
Kassahn, Karin S., Nicola Waddell, & Sean M. Grimmond. (2011). Sequencing transcriptomes in toto. Integrative Biology. 3(5). 522–522. 13 indexed citations
14.
Cowley, Mark J., Mark Pinese, Karin S. Kassahn, et al.. (2011). PINA v2.0: mining interactome modules. Nucleic Acids Research. 40(D1). D862–D865. 258 indexed citations
15.
Han, Siew Ping, Karin S. Kassahn, Adam Skarshewski, et al.. (2010). Functional implications of the emergence of alternative splicing in hnRNP A/B transcripts. RNA. 16(9). 1760–1768. 20 indexed citations
16.
Kassahn, Karin S., Dang Vinh, Simon J. Wilkins, Andrew C. Perkins, & Mark A. Ragan. (2009). Evolution of gene function and regulatory control after whole-genome duplication: Comparative analyses in vertebrates. Genome Research. 19(8). 1404–1418. 152 indexed citations
17.
Kassahn, Karin S., Ross H. Crozier, Hans‐Otto Pörtner, & M. Julian Caley. (2009). Animal performance and stress: responses and tolerance limits at different levels of biological organisation. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 84(2). 277–292. 211 indexed citations
18.
Kassahn, Karin S., Ross H. Crozier, Alister C. Ward, Glenn Stone, & M. Julian Caley. (2007). From transcriptome to biological function: environmental stress in an ectothermic vertebrate, the coral reef fish Pomacentrus moluccensis. BMC Genomics. 8(1). 358–358. 180 indexed citations
19.
Kassahn, Karin S., M. Julian Caley, Alister C. Ward, et al.. (2007). Heterologous microarray experiments used to identify the early gene response to heat stress in a coral reef fish. Molecular Ecology. 16(8). 1749–1763. 88 indexed citations
20.
Kassahn, Karin S., Stephen C. Donnellan, A. J. Fowler, et al.. (2003). Molecular and morphological analyses of the cuttlefish Sepia apama indicate a complex population structure. Marine Biology. 143(5). 947–962. 50 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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