Karin Olsson

1.3k total citations
31 papers, 860 citations indexed

About

Karin Olsson is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Karin Olsson has authored 31 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Karin Olsson's work include Virus-based gene therapy research (12 papers), RNA modifications and cancer (8 papers) and Cancer-related gene regulation (6 papers). Karin Olsson is often cited by papers focused on Virus-based gene therapy research (12 papers), RNA modifications and cancer (8 papers) and Cancer-related gene regulation (6 papers). Karin Olsson collaborates with scholars based in Sweden, United States and Germany. Karin Olsson's co-authors include Stefan Karlsson, Johan Flygare, Johan Richter, Pekka Jaako, Mats Ehinger, David Bryder, Hanna Mikkola, Niels‐Bjarne Woods, Didier Trono and Romain Zufferey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Blood.

In The Last Decade

Karin Olsson

28 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Olsson Sweden 17 550 278 163 129 114 31 860
Charlotte A. Brown United States 22 489 0.9× 124 0.4× 178 1.1× 170 1.3× 85 0.7× 44 1.0k
Hanna T. Gazda United States 17 1.1k 1.9× 186 0.7× 93 0.6× 166 1.3× 76 0.7× 34 1.3k
Marie-Claude Labastie France 12 495 0.9× 87 0.3× 68 0.4× 64 0.5× 164 1.4× 17 746
Sallie Macy United States 16 589 1.1× 80 0.3× 122 0.7× 173 1.3× 48 0.4× 32 723
Peter C. Verlander United States 14 695 1.3× 255 0.9× 43 0.3× 132 1.0× 77 0.7× 18 921
Tatjana Kilo Australia 7 213 0.4× 114 0.4× 133 0.8× 112 0.9× 31 0.3× 10 573
Barbara Adler‐Brecher United States 7 462 0.8× 163 0.6× 47 0.3× 99 0.8× 35 0.3× 9 677
Trudi P. Visser Netherlands 14 285 0.5× 222 0.8× 81 0.5× 154 1.2× 18 0.2× 20 599
Ngaire Elwood Australia 15 465 0.8× 42 0.2× 123 0.8× 74 0.6× 191 1.7× 44 846
Tiffany Cheng United States 10 307 0.6× 113 0.4× 52 0.3× 42 0.3× 28 0.2× 14 812

Countries citing papers authored by Karin Olsson

Since Specialization
Citations

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

Fields of papers citing papers by Karin Olsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Olsson

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Olsson. A scholar is included among the top collaborators of Karin Olsson 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 Olsson. Karin Olsson 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.
Boldrin, Elena, Giorgia Montano, Stijn Vanhee, et al.. (2023). Enhanced protein synthesis is a defining requirement for neonatal B cell development. Frontiers in Immunology. 14. 1130930–1130930.
2.
Vanhee, Stijn, Trine Kristiansen, Giorgia Montano, et al.. (2019). Lin28b controls a neonatal to adult switch in B cell positive selection. Science Immunology. 4(39). 16 indexed citations
3.
4.
Jaako, Pekka, Karin Olsson, Yingao Zhang, et al.. (2015). Disruption of the 5S RNP–Mdm2 interaction significantly improves the erythroid defect in a mouse model for Diamond-Blackfan anemia. Leukemia. 29(11). 2221–2229. 32 indexed citations
5.
Dahl, Maria, Alexander Doyle, Karin Olsson, et al.. (2015). Lentiviral Gene Therapy Using Cellular Promoters Cures Type 1 Gaucher Disease in Mice. Molecular Therapy. 23(5). 835–844. 47 indexed citations
6.
Jaako, Pekka, Sudhan Debnath, Karin Olsson, et al.. (2014). Gene therapy cures the anemia and lethal bone marrow failure in a mouse model of RPS19-deficient Diamond-Blackfan anemia. Haematologica. 99(12). 1792–1798. 27 indexed citations
7.
Olsson, Karin, Bertil Öhlin, & Olle Melander. (2012). Epidemiology and characteristics of hyponatremia in the emergency department. European Journal of Internal Medicine. 24(2). 110–116. 39 indexed citations
8.
Jaako, Pekka, Johan Flygare, Karin Olsson, et al.. (2011). Mice with ribosomal protein S19 deficiency develop bone marrow failure and symptoms like patients with Diamond-Blackfan anemia. Blood. 118(23). 6087–6096. 106 indexed citations
9.
Olsson, Karin, Bertil Öhlin, & Olle Melander. (2011). EPIDEMIOLOGY AND CHARACTERISTICS OF HYPONATREMIA IN THE EMERGENCY DEPARTMENT. European Journal of Internal Medicine. 22. S69–S70.
10.
Jaako, Pekka, et al.. (2011). Bone Marrow Failure in RPS19-Deficient Mice Is Partly Caused by p53 Activation and Responds to L-Leucine Treatment. Blood. 118(21). 727–727. 3 indexed citations
11.
Quéré, Ronan, Ann Brun, Roman A. Zubarev, et al.. (2010). High levels of the adhesion molecule CD44 on leukemic cells generate acute myeloid leukemia relapse after withdrawal of the initial transforming event. Leukemia. 25(3). 515–526. 60 indexed citations
12.
Jaako, Pekka, Johan Flygare, Karin Olsson, et al.. (2010). Chronic RPS19 Deficiency Leads to Bone Marrow Failure In a Mouse Model for Diamond-Blackfan Anemia. Blood. 116(21). 193–193. 2 indexed citations
13.
Flygare, Johan, Karin Olsson, Johan Richter, & Stefan Karlsson. (2008). Gene therapy of Diamond Blackfan anemia CD34+ cells leads to improved erythroid development and engraftment following transplantation. Experimental Hematology. 36(11). 1428–1435. 33 indexed citations
14.
Relander, Thomas, M. Johansson, Karin Olsson, et al.. (2004). Gene Transfer to Repopulating Human CD34+ Cells Using Amphotropic-, GALV-, or RD114-Pseudotyped HIV-1-Based Vectors from Stable Producer Cells. Molecular Therapy. 11(3). 452–459. 33 indexed citations
15.
Schmidt, Manfred, Hanno Glimm, Manuela Wissler, et al.. (2003). Efficient Characterization of Retro‐, Lenti‐, and Foamyvector‐Transduced Cell Populations by High‐Accuracy Insertion Site Sequencing. Annals of the New York Academy of Sciences. 996(1). 112–121. 18 indexed citations
16.
Relander, Thomas, Ann Brun, Karin Olsson, Lene Pedersen, & Johan Richter. (2002). Overexpression of Gibbon Ape Leukemia Virus (GALV) Receptor (GLVR1) on Human CD34+ Cells Increases Gene Transfer Mediated by GALV Pseudotyped Vectors. Molecular Therapy. 6(3). 400–406. 11 indexed citations
17.
18.
Woods, Niels‐Bjarne, Hanna Mikkola, Eva Nilsson, et al.. (2001). Lentiviral‐mediated gene transfer into haematopoietic stem cells. Journal of Internal Medicine. 249(4). 339–343. 21 indexed citations
19.
Woods, Niels‐Bjarne, C Fahlman, Hanna Mikkola, et al.. (2000). Lentiviral gene transfer into primary and secondary NOD/SCID repopulating cells. Blood. 96(12). 3725–3733. 89 indexed citations
20.
Olsson, Karin, et al.. (1993). PCR identification of Helicobacter pylori in gastritis patients. The Lancet. 341(8853). 1155–1155. 1 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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