Karen Søeby

554 total citations
9 papers, 401 citations indexed

About

Karen Søeby is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karen Søeby has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karen Søeby's work include Tryptophan and brain disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Karen Søeby is often cited by papers focused on Tryptophan and brain disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Karen Søeby collaborates with scholars based in Denmark. Karen Søeby's co-authors include Thomas Werge, Peter Bjødstrup Jensen, Thomas Folkmann Hansen, Massimo Andreatta, Søren Brunak, Lars Juhl Jensen, Henriette Schmock, Anders Juul, Francisco S. Roque and Marlene Dalgaard and has published in prestigious journals such as American Journal of Psychiatry, PLoS Computational Biology and Schizophrenia Research.

In The Last Decade

Karen Søeby

9 papers receiving 384 citations

Peers

Karen Søeby

MB

AI

EPIDE

GENET

SURGE

Akira Endoh Japan

Raja-Elie E. Abdulnour United States

Carol Reid United Kingdom

Manish Paranjpe United States

Feixiong Cheng United States

J. J. Ross United Kingdom

Riswana Banu Singapore

Timothy Nicholas United States

Chao Pang China

Alvaro Ulloa United States

Akira Endoh Japan

Karen Søeby

238 ×1.4

MB

45 ×0.4

AI

28 ×0.5

EPIDE

82 ×1.5

GENET

80 ×1.5

SURGE

Citations per year, relative to Karen Søeby Karen Søeby (= 1×) peers Akira Endoh

Countries citing papers authored by Karen Søeby

Since Specialization

Citations

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

Fields of papers citing papers by Karen Søeby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Søeby

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Søeby. A scholar is included among the top collaborators of Karen Søeby 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 Karen Søeby. Karen Søeby 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

1.

Riis, Peter Theut, Karen Søeby, Ditte Marie Lindhardt Saunte, & Gregor B. E. Jemec. (2015). Patients with hidradenitis suppurativa carry a higher systemic inflammatory load than other dermatological patients. Archives of Dermatological Research. 307(10). 885–889. 42 indexed citations

2.

Søeby, Karen, Peter Bjødstrup Jensen, Thomas Werge, & Steen Sørensen. (2015). Mining of hospital laboratory information systems: a model study defining age- and gender-specific reference intervals and trajectories for plasma creatinine in a pediatric population. Clinical Chemistry and Laboratory Medicine (CCLM). 53(10). 1621–30. 15 indexed citations

3.

Roque, Francisco S., Peter Bjødstrup Jensen, Henriette Schmock, et al.. (2011). Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts. PLoS Computational Biology. 7(8). e1002141–e1002141. 218 indexed citations

4.

Vangsted, Annette Juul, Karen Søeby, Tobias Wirenfeldt Klausen, et al.. (2010). No influence of the polymorphisms CYP2C19 and CYP2D6 on the efficacy of cyclophosphamide, thalidomide, and bortezomib in patients with Multiple Myeloma. BMC Cancer. 10(1). 404–404. 24 indexed citations

5.

Wang, August G., Henrik B. Rasmussen, Holger J. Sørensen, et al.. (2009). Suicidal Behavior and the Serotonin Transporter Gene Polymorphism (5-HTTLPR) with Novel Subtypes, in Danish Schizophrenic Patients. 3(1). 9–12. 3 indexed citations

6.

Ingason, Andrés, Karen Søeby, Sally Timm, et al.. (2006). No significant association of the 5′ end of neuregulin 1 and schizophrenia in a large Danish sample. Schizophrenia Research. 83(1). 1–5. 18 indexed citations

7.

Hansen, Thomas Folkmann, Ralf Hemmingsen, August G. Wang, et al.. (2006). Apolipoprotein D is associated with long-term outcome in patients with schizophrenia. The Pharmacogenomics Journal. 6(2). 120–125. 17 indexed citations

8.

Rasmussen, Henrik Berg, Sally Timm, August G. Wang, et al.. (2006). Association Between the CCR5 32-bp Deletion Allele and Late Onset of Schizophrenia. American Journal of Psychiatry. 163(3). 507–511. 38 indexed citations

9.

Søeby, Karen, et al.. (2005). Serotonin transporter: Evolution and impact of polymorphic transcriptional regulation. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 136B(1). 53–57. 26 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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