Anna Karlsson

515 total citations
9 papers, 159 citations indexed

About

Anna Karlsson is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Anna Karlsson has authored 9 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Anna Karlsson's work include Epigenetics and DNA Methylation (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Anna Karlsson is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Cancer Genomics and Diagnostics (2 papers). Anna Karlsson collaborates with scholars based in Sweden, Norway and Germany. Anna Karlsson's co-authors include Johan Staaf, Maria Planck, Åke Borg, Johan Vallon‐Christersson, Pär‐Ola Bendahl, Karin Jirström, Martin Lauss, Lotta Lundgren, Hensin Tsao and Therese Törngren and has published in prestigious journals such as Nature Communications, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Anna Karlsson

8 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Karlsson Sweden 6 110 65 42 36 34 9 159
Louis Masclef Canada 5 138 1.3× 50 0.8× 33 0.8× 37 1.0× 26 0.8× 9 194
Christopher S. Koivisto United States 7 89 0.8× 77 1.2× 30 0.7× 21 0.6× 45 1.3× 12 168
Cody Weimholt United States 7 91 0.8× 63 1.0× 33 0.8× 67 1.9× 32 0.9× 15 168
D. Lucas Kerr United States 7 135 1.2× 72 1.1× 27 0.6× 41 1.1× 56 1.6× 10 211
Tianzhuo Zhang China 10 126 1.1× 80 1.2× 42 1.0× 29 0.8× 63 1.9× 25 233
Jiangzheng Zeng China 9 98 0.9× 47 0.7× 71 1.7× 35 1.0× 30 0.9× 20 194
Kevin Tran United States 9 133 1.2× 96 1.5× 88 2.1× 34 0.9× 59 1.7× 16 226
Rozelle Laquindanum United States 2 91 0.8× 71 1.1× 56 1.3× 24 0.7× 37 1.1× 2 164
Panayiotis Anastasiou United Kingdom 6 134 1.2× 138 2.1× 54 1.3× 30 0.8× 69 2.0× 8 234
Jasmine A. McQuerry United States 7 65 0.6× 90 1.4× 52 1.2× 21 0.6× 49 1.4× 10 167

Countries citing papers authored by Anna Karlsson

Since Specialization
Citations

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

Fields of papers citing papers by Anna Karlsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Karlsson

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

All Works

9 of 9 papers shown
1.
Staaf, Johan, Hans Brunnström, Mats Jönsson, et al.. (2025). Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma. Molecular Oncology. 19(12). 3806–3820.
2.
Aine, Mattias, Elsa Arbajian, Srinivas Veerla, et al.. (2025). The DNA methylation landscape of primary triple-negative breast cancer. Nature Communications. 16(1). 3041–3041. 7 indexed citations
3.
Karlsson, Anna, et al.. (2021). Pan-cancer application of a lung-adenocarcinoma-derived gene-expression-based prognostic predictor. Briefings in Bioinformatics. 22(6). 5 indexed citations
4.
Arbajian, Elsa, Mattias Aine, Anna Karlsson, et al.. (2020). Methylation Patterns and Chromatin Accessibility in Neuroendocrine Lung Cancer. Cancers. 12(8). 2003–2003. 4 indexed citations
5.
Shen, Sipeng, Ruyang Zhang, Yichen Guo, et al.. (2018). A multi‐omic study reveals BTG2 as a reliable prognostic marker for early‐stage non‐small cell lung cancer. Molecular Oncology. 12(6). 913–924. 24 indexed citations
6.
Jönsson, Mats, Sofi Isaksson, Anna Karlsson, et al.. (2013). Histological specificity of alterations and expression of KIT and KITLG in non‐small cell lung carcinoma. Genes Chromosomes and Cancer. 52(11). 1088–1096. 17 indexed citations
7.
Harbst, Katja, Johan Staaf, Martin Lauss, et al.. (2012). Molecular Profiling Reveals Low- and High-Grade Forms of Primary Melanoma. Clinical Cancer Research. 18(15). 4026–4036. 72 indexed citations
8.
Staaf, Johan, Sofi Isaksson, Anna Karlsson, et al.. (2012). Landscape of somatic allelic imbalances and copy number alterations in human lung carcinoma. International Journal of Cancer. 132(9). 2020–2031. 28 indexed citations
9.
Hanrieder, Jörg, et al.. (2011). L-DOPA-induced dyskinesia is associated with regional increase of striatal dynorphin peptides as elucidated by imaging mass spectrometry. Pharmacological Reports. 63(1). 264–264. 2 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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