Torfinn Nome

3.6k total citations
22 papers, 835 citations indexed

About

Torfinn Nome is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Torfinn Nome has authored 22 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Torfinn Nome's work include Genetic and phenotypic traits in livestock (12 papers), Genetic diversity and population structure (6 papers) and Cancer-related molecular mechanisms research (5 papers). Torfinn Nome is often cited by papers focused on Genetic and phenotypic traits in livestock (12 papers), Genetic diversity and population structure (6 papers) and Cancer-related molecular mechanisms research (5 papers). Torfinn Nome collaborates with scholars based in Norway, Australia and United Kingdom. Torfinn Nome's co-authors include Sigbjørn Lien, Matthew Kent, Hanne Gro Olsen, Ben J. Hayes, Simen R. Sandve, T.H.E. Meuwissen, Rolf I. Skotheim, Harald Grove, Morten Svendsen and Mathias Tiedemann Svendsen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Torfinn Nome

22 papers receiving 824 citations

Peers

Torfinn Nome

GENET

ACS

NLC

Micha Ron Israel

C. Larry Chrisman United States

Huiming Liu China

S.T.H. Chan Hong Kong

JH van Krieken United States

Gen Hiyama Japan

Maëlle Pannetier France

Pierrette Reinaud France

Maria M. Viveiros United States

Francisco Prat Spain

Micha Ron Israel

Torfinn Nome

944 ×1.9

GENET

240 ×0.9

180 ×1.3

100 ×0.8

ACS

82 ×0.9

NLC

Citations per year, relative to Torfinn Nome Torfinn Nome (= 1×) peers Micha Ron

Countries citing papers authored by Torfinn Nome

Since Specialization

Citations

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

Fields of papers citing papers by Torfinn Nome

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torfinn Nome

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

All Works

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20 of 20 papers shown

Saitou, Marie, Torfinn Nome, Michel Moser, et al.. (2022). The emergence of supergenes from inversions in Atlantic salmon. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1856). 20210195–20210195. 21 indexed citations

Sinclair‐Waters, Marion, Torfinn Nome, Jing Wang, et al.. (2022). Dissecting the loci underlying maturation timing in Atlantic salmon using haplotype and multi-SNP based association methods. Heredity. 129(6). 356–365. 11 indexed citations

West, Alexander C., Yasutaka Mizoro, Shona H. Wood, et al.. (2021). Immunologic Profiling of the Atlantic Salmon Gill by Single Nuclei Transcriptomics. Frontiers in Immunology. 12. 669889–669889. 24 indexed citations

Nome, Torfinn, Thu‐Hien To, Manu Kumar Gundappa, et al.. (2019). SalMotifDB: a tool for analyzing putative transcription factor binding sites in salmonid genomes. BMC Genomics. 20(1). 694–694. 10 indexed citations

Kijas, James, Sean McWilliam, Marina Naval-Sánchez, et al.. (2018). Evolution of Sex Determination Loci in Atlantic Salmon. Scientific Reports. 8(1). 5664–5664. 36 indexed citations

Celestino, Ricardo, Torfinn Nome, Ana Pestana, et al.. (2018). CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extension. BMC Cancer. 18(1). 68–68. 31 indexed citations

Gao, Guangtu, Torfinn Nome, Devon E. Pearse, et al.. (2018). A New Single Nucleotide Polymorphism Database for Rainbow Trout Generated Through Whole Genome Resequencing. Frontiers in Genetics. 9. 147–147. 45 indexed citations

Olsen, Hanne Gro, Achim Köhler, Morten Svendsen, et al.. (2017). Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13. Genetics Selection Evolution. 49(1). 20–20. 21 indexed citations

Nome, Torfinn, Simen R. Sandve, Fabian Grammes, et al.. (2017). SalmoBase: an integrated molecular data resource for Salmonid species. BMC Genomics. 18(1). 482–482. 43 indexed citations

10.

Grove, Harald, Matthew Kent, Simen R. Sandve, et al.. (2016). Two adjacent inversions maintain genomic differentiation between migratory and stationary ecotypes of Atlantic cod. Molecular Ecology. 25(10). 2130–2143. 146 indexed citations

11.

Olsen, Hanne Gro, Anna Lewandowska‐Sabat, Harald Grove, et al.. (2016). Fine mapping of a QTL on bovine chromosome 6 using imputed full sequence data suggests a key role for the group-specific component (GC) gene in clinical mastitis and milk production. Genetics Selection Evolution. 48(1). 79–79. 45 indexed citations

12.

Bruun, Jarle, Matthias Kolberg, Terje Ahlquist, et al.. (2015). Regulator of Chromosome Condensation 2 Identifies High-Risk Patients within Both Major Phenotypes of Colorectal Cancer. Clinical Cancer Research. 21(16). 3759–3770. 38 indexed citations

13.

Nome, Torfinn, Andreas Hoff, Anne Cathrine Bakken, et al.. (2014). High Frequency of Fusion Transcripts Involving TCF7L2 in Colorectal Cancer: Novel Fusion Partner and Splice Variants. PLoS ONE. 9(3). e91264–e91264. 21 indexed citations

14.

Løvf, Marthe, Torfinn Nome, Jarle Bruun, et al.. (2014). A novel transcript, VNN1‐AB, as a biomarker for colorectal cancer. International Journal of Cancer. 135(9). 2077–2084. 14 indexed citations

15.

Nome, Torfinn, Jarle Bruun, Terje Ahlquist, et al.. (2013). Common Fusion Transcripts Identified in Colorectal Cancer Cell Lines by High-Throughput RNA Sequencing. Translational Oncology. 6(5). 546–IN5. 24 indexed citations

16.

Panagopoulos, Ioannis, Jim Thorsen, Lisbeth Haugom, et al.. (2012). Whole-Transcriptome Sequencing Identifies Novel IRF2BP2-CDX1 Fusion Gene Brought about by Translocation t(1;5)(q42;q32) in Mesenchymal Chondrosarcoma. PLoS ONE. 7(11). e49705–e49705. 64 indexed citations

17.

Grindflek, Eli, T.H.E. Meuwissen, T. Aasmundstad, et al.. (2011). Revealing genetic relationships between compounds affecting boar taint and reproduction in pigs1. Journal of Animal Science. 89(3). 680–692. 52 indexed citations

18.

Nilsen, Heidi, Hanne Gro Olsen, Ben J. Hayes, et al.. (2009). Characterization of a QTL region affecting clinical mastitis and protein yield on BTA6. Animal Genetics. 40(5). 701–712. 20 indexed citations

19.

Nilsen, Heidi, Hanne Gro Olsen, Ben J. Hayes, et al.. (2009). Casein haplotypes and their association with milk production traits in Norwegian Red cattle. Genetics Selection Evolution. 41(1). 24–24. 79 indexed citations

20.

Olsen, Hanne Gro, Ben J. Hayes, Matthew Kent, et al.. (2009). A genome wide association study for QTL affecting direct and maternal effects of stillbirth and dystocia in cattle. Animal Genetics. 41(3). 273–280. 30 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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