Øyvind Dahle

442 total citations
10 papers, 362 citations indexed

About

Øyvind Dahle is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Øyvind Dahle has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Immunology. Recurrent topics in Øyvind Dahle's work include Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). Øyvind Dahle is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). Øyvind Dahle collaborates with scholars based in Norway, United States and Italy. Øyvind Dahle's co-authors include Odd S. Gabrielsen, Michael R. Kuehn, Amit Kumar, Vilborg Matre, Oddmund Nordgård, Thomas Sæther, Giannino Del Sal, R. Eric Davis, Stuart Rudikoff and Oddmund Bakke and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Øyvind Dahle

10 papers receiving 359 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Øyvind Dahle Norway	9	308	72	60	39	37	10	362
Ursula Grazini United Kingdom	7	381 1.2×	67 0.9×	85 1.4×	41 1.1×	47 1.3×	7	468
Sabine Jurado Australia	9	208 0.7×	42 0.6×	35 0.6×	35 0.9×	47 1.3×	11	279
Paul van den Berk Netherlands	5	216 0.7×	115 1.6×	54 0.9×	19 0.5×	65 1.8×	7	314
Joëlle Michaud Switzerland	7	295 1.0×	54 0.8×	30 0.5×	51 1.3×	44 1.2×	8	386
Lisa von Paleske Germany	4	245 0.8×	49 0.7×	35 0.6×	86 2.2×	51 1.4×	6	316
Wesley L. Cai United States	8	321 1.0×	47 0.7×	104 1.7×	29 0.7×	43 1.2×	19	420
Taiko Inoue-Bungo Japan	5	353 1.1×	59 0.8×	73 1.2×	99 2.5×	49 1.3×	7	441
Caila Ryan United States	9	385 1.3×	36 0.5×	67 1.1×	38 1.0×	51 1.4×	9	456
Keith McKenna United States	4	212 0.7×	51 0.7×	55 0.9×	104 2.7×	33 0.9×	5	312
Petra Zeisberger Germany	5	268 0.9×	63 0.9×	36 0.6×	99 2.5×	58 1.6×	11	349

Countries citing papers authored by Øyvind Dahle

Since Specialization

Citations

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

Fields of papers citing papers by Øyvind Dahle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Øyvind Dahle

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

All Works

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10 of 10 papers shown

Dahle, Øyvind & Michael R. Kuehn. (2016). Inhibiting Smad2/3 signaling in pluripotent mouse embryonic stem cells enhances endoderm formation by increasing transcriptional priming of lineage‐specifying target genes. Developmental Dynamics. 245(7). 807–815. 2 indexed citations

Dahle, Øyvind & Michael R. Kuehn. (2013). Polycomb Determines Responses to Smad2/3 Signaling in Embryonic Stem Cell Differentiation and in Reprogramming. Stem Cells. 31(8). 1488–1497. 8 indexed citations

Dahle, Øyvind, Amit Kumar, & Michael R. Kuehn. (2010). Nodal Signaling Recruits the Histone Demethylase Jmjd3 to Counteract Polycomb-Mediated Repression at Target Genes. Science Signaling. 3(127). ra48–ra48. 100 indexed citations

Sæther, Thomas, et al.. (2008). FLASH acts as a co-activator of the transcription factor c-Myb and localizes to active RNA polymerase II foci. Oncogene. 27(34). 4644–4656. 49 indexed citations

Sæther, Thomas, Tone Berge, Vilborg Matre, et al.. (2007). The Chromatin Remodeling Factor Mi-2α Acts as a Novel Co-activator for Human c-Myb. Journal of Biological Chemistry. 282(19). 13994–14005. 37 indexed citations

Erman, Batu, Amala Alag, Øyvind Dahle, et al.. (2006). Coreceptor Signal Strength Regulates Positive Selection but Does Not Determine CD4/CD8 Lineage Choice in a Physiologic In Vivo Model. The Journal of Immunology. 177(10). 6613–6625. 23 indexed citations

Dahle, Øyvind, et al.. (2005). PML mediates IFN-α–induced apoptosis in myeloma by regulating TRAIL induction. Blood. 105(3). 1280–1287. 43 indexed citations

Dahle, Øyvind, Oddmund Bakke, & Odd S. Gabrielsen. (2004). c-Myb associates with PML in nuclear bodies in hematopoietic cells. Experimental Cell Research. 297(1). 118–126. 17 indexed citations

Dahle, Øyvind, et al.. (2003). Transactivation properties of c‐Myb are critically dependent on two SUMO‐1 acceptor sites that are conjugated in a PIASy enhanced manner. European Journal of Biochemistry. 270(6). 1338–1348. 61 indexed citations

10.

Nordgård, Oddmund, et al.. (2001). JAB1/CSN5 interacts with the GAL4 DNA binding domain: A note of caution about two-hybrid interactions. Biochimie. 83(10). 969–971. 22 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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