Mia Bjerke

580 total citations
9 papers, 419 citations indexed

About

Mia Bjerke is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Mia Bjerke has authored 9 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Mia Bjerke's work include Mitochondrial Function and Pathology (3 papers), Biochemical and Molecular Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Mia Bjerke is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Biochemical and Molecular Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Mia Bjerke collaborates with scholars based in Sweden, Belgium and Italy. Mia Bjerke's co-authors include Bengt Westermark, Hanna Edlund, Sven Nelander, Marie Allen, Anna Karlsson, Magnus Johansson, Nicola Solaroli, Xinwen Zhou, Björn Rozell and James B. Stewart and has published in prestigious journals such as Human Molecular Genetics, European Journal of Biochemistry and Science Translational Medicine.

In The Last Decade

Mia Bjerke

8 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia Bjerke Sweden	4	247	126	104	79	61	9	419
Arthur Jacob Qatar	4	241 1.0×	54 0.4×	105 1.0×	53 0.7×	58 1.0×	5	388
Diahnn Futalan United States	8	216 0.9×	128 1.0×	78 0.8×	87 1.1×	35 0.6×	11	439
Jonathan Lerner United States	6	162 0.7×	138 1.1×	50 0.5×	110 1.4×	60 1.0×	7	441
Harry Bulstrode United Kingdom	11	310 1.3×	109 0.9×	93 0.9×	84 1.1×	57 0.9×	29	544
Claudia Tregnago Italy	12	304 1.2×	41 0.3×	78 0.8×	41 0.5×	28 0.5×	36	483
Alexei Morozov United States	6	241 1.0×	30 0.2×	60 0.6×	123 1.6×	55 0.9×	17	429
Hideo Takeshima Japan	13	219 0.9×	113 0.9×	69 0.7×	166 2.1×	14 0.2×	18	512
Sharif Iqbal Finland	5	339 1.4×	24 0.2×	83 0.8×	61 0.8×	16 0.3×	7	471
Uday Bhanu Maachani United States	13	257 1.0×	149 1.2×	73 0.7×	108 1.4×	33 0.5×	20	533
Anja S. Knaupp Australia	15	539 2.2×	31 0.2×	139 1.3×	50 0.6×	48 0.8×	23	673

Countries citing papers authored by Mia Bjerke

Since Specialization

Citations

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

Fields of papers citing papers by Mia Bjerke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Bjerke

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

Allen, Marie, Mia Bjerke, Hanna Edlund, Sven Nelander, & Bengt Westermark. (2016). Origin of the U87MG glioma cell line: Good news and bad news. Science Translational Medicine. 8(354). 354re3–354re3. 323 indexed citations

Allen, Marie, et al.. (2011). A novel variant in plakophilin-2 gene detected in a family with arrhythmogenic right ventricular cardiomyopathy. Journal of Interventional Cardiac Electrophysiology. 34(1). 11–18. 2 indexed citations

Bjerke, Mia, Nicola Solaroli, Nicole Lesko, et al.. (2009). Retained Sensitivity to Cytotoxic Pyrimidine Nucleoside Analogs in Thymidine Kinase 2 Deficient Human Fibroblasts. Nucleosides Nucleotides & Nucleic Acids. 29(1). 1–13. 1 indexed citations

Bjerke, Mia, Maribel Franco, Magnus Johansson, Jan Balzarini, & Anna Karlsson. (2008). Increased mitochondrial DNA copy-number in CEM cells resistant to delayed toxicity of 2′,3′-dideoxycytidine. Biochemical Pharmacology. 75(6). 1313–1321. 4 indexed citations

Bjerke, Mia, Jan Balzarini, & Anna Karlsson. (2008). Reduced Levels of Mitochondrial DNA Increases the Toxicity of 9-ß-D-Arabinofuranosylguanine (araG). Nucleosides Nucleotides & Nucleic Acids. 27(6-7). 746–749. 2 indexed citations

Zhou, Xinwen, Nicola Solaroli, Mia Bjerke, et al.. (2008). Progressive loss of mitochondrial DNA in thymidine kinase 2-deficient mice. Human Molecular Genetics. 17(15). 2329–2335. 73 indexed citations

Bjerke, Mia, Maribel Franco, Magnus Johansson, Jan Balzarini, & Anna Karlsson. (2006). Alterations of Mitochondrial DNA in CEM Cells Selected for Resistance Toward DDC Toxicity. Nucleosides Nucleotides & Nucleic Acids. 25(9-11). 987–990.

Solaroli, Nicola, Mia Bjerke, Magnus Johansson, & Anna Karlsson. (2004). Investigation of the Substrate Recognition ofDrosophila melanogasterNucleoside Kinase by Site Directed Mutagenesis. Nucleosides Nucleotides & Nucleic Acids. 23(8-9). 1527–1529. 1 indexed citations

Solaroli, Nicola, et al.. (2003). Active site mutants of Drosophila melanogaster multisubstrate deoxyribonucleoside kinase. European Journal of Biochemistry. 270(13). 2879–2884. 13 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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