Susanne Fransson

1.4k total citations
38 papers, 542 citations indexed

About

Susanne Fransson is a scholar working on Neurology, Molecular Biology and Cancer Research. According to data from OpenAlex, Susanne Fransson has authored 38 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Neurology, 27 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in Susanne Fransson's work include Neuroblastoma Research and Treatments (30 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Cancer therapeutics and mechanisms (10 papers). Susanne Fransson is often cited by papers focused on Neuroblastoma Research and Treatments (30 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Cancer therapeutics and mechanisms (10 papers). Susanne Fransson collaborates with scholars based in Sweden, United States and Norway. Susanne Fransson's co-authors include Tommy Martinsson, Per Kogner, Katarina Ejeskär, John Inge Johnsen, Malin Wickström, Cecilia Dyberg, Anna Djos, Helena Carén, Niloufar Javanmardi and Rose‐Marie Sjöberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Susanne Fransson

34 papers receiving 537 citations

Peers

Susanne Fransson
Katarina Ejeskär Sweden
Jessica Theißen Germany
Jayanti Jagannathan United States
Kai-Oliver Henrich Germany
Rose‐Marie Sjöberg Sweden
Ana P. Berbegall Spain
Mark W. Zimmerman United States
Deepa Khazi United States
Erin R. Okawa United States
Alvin Chan Netherlands
Katarina Ejeskär Sweden
Susanne Fransson
Citations per year, relative to Susanne Fransson Susanne Fransson (= 1×) peers Katarina Ejeskär

Countries citing papers authored by Susanne Fransson

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Fransson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Fransson

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Fransson. A scholar is included among the top collaborators of Susanne Fransson 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 Susanne Fransson. Susanne Fransson 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.
Djos, Anna, et al.. (2025). DNA methylation profiling for molecular classification of neuroblastoma. Clinical Epigenetics. 17(1). 131–131.
2.
Fransson, Susanne, Anna Djos, Johanna Svensson, et al.. (2025). Comparative analysis of whole-genome sequencing of tumor and cfDNA in a neuroblastoma patient: a case report. Frontiers in Oncology. 15. 1569520–1569520.
3.
4.
Delgado-Vega, A M, Fulya Taylan, Kristina Lagerstedt‐Robinson, et al.. (2024). Occurrence of cancer in Marfan syndrome: Report of two patients with neuroblastoma and review of the literature. American Journal of Medical Genetics Part A. 194(12). e63812–e63812.
5.
Djos, Anna, Johanna Svensson, Ganesh Umapathy, et al.. (2024). Loss of Chromosome Y in Neuroblastoma Is Associated With High‐Risk Disease, 11q‐Deletion, and Telomere Maintenance. Genes Chromosomes and Cancer. 63(7). e23260–e23260. 2 indexed citations
6.
Vaid, Roshan, Rebeca Burgos‐Panadero, Anna Djos, et al.. (2023). METTL3 drives telomere targeting of TERRA lncRNA through m6A-dependent R-loop formation: a therapeutic target for ALT-positive neuroblastoma. Nucleic Acids Research. 52(5). 2648–2671. 27 indexed citations
7.
Djos, Anna, Roshan Vaid, Ganesh Umapathy, et al.. (2023). Telomere Maintenance Mechanisms in a Cohort of High-Risk Neuroblastoma Tumors and Its Relation to Genomic Variants in the TERT and ATRX Genes. Cancers. 15(24). 5732–5732. 3 indexed citations
8.
Djos, Anna, et al.. (2023). Identification of recurrent 3q13.31 chromosomal rearrangement indicates LSAMP as a tumor suppressor gene in neuroblastoma. International Journal of Oncology. 62(2). 4 indexed citations
9.
Lai, Wei‐Yun, Anh T. Le, Susanne Fransson, et al.. (2022). Novel human-derived EML4-ALK fusion cell lines identify ribonucleotide reductase RRM2 as a target of activated ALK in NSCLC. Lung Cancer. 171. 103–114. 7 indexed citations
10.
Sillén, Ulla, et al.. (2022). Whole exome sequencing identifies KIF26B, LIFR and LAMC1 mutations in familial vesicoureteral reflux. PLoS ONE. 17(11). e0277524–e0277524. 2 indexed citations
11.
Milosevic, Jelena, Diana Treis, Susanne Fransson, et al.. (2021). PPM1D Is a Therapeutic Target in Childhood Neural Tumors. Cancers. 13(23). 6042–6042. 7 indexed citations
12.
Milosevic, Jelena, Susanne Fransson, Miklós Gulyás, et al.. (2021). High Expression of PPM1D Induces Tumors Phenotypically Similar to TP53 Loss-of-Function Mutations in Mice. Cancers. 13(21). 5493–5493. 8 indexed citations
13.
Javanmardi, Niloufar, Jimmy Van den Eynden, Susanne Fransson, et al.. (2020). 11q Deletion or ALK Activity Curbs DLG2 Expression to Maintain an Undifferentiated State in Neuroblastoma. Cell Reports. 32(12). 108171–108171. 28 indexed citations
14.
Johnsen, John Inge, Cecilia Dyberg, Susanne Fransson, & Malin Wickström. (2018). Molecular mechanisms and therapeutic targets in neuroblastoma. Pharmacological Research. 131. 164–176. 60 indexed citations
15.
Fransson, Susanne, Malin Östensson, Anna Djos, et al.. (2016). Estimation of copy number aberrations: Comparison of exome sequencing data with SNP microarrays identifies homozygous deletions of 19q13.2 and CIC in neuroblastoma. International Journal of Oncology. 48(3). 1103–1116. 17 indexed citations
16.
Fransson, Susanne, Per Kogner, Tommy Martinsson, & Katarina Ejeskär. (2013). Aggressive neuroblastomas have high p110alpha but low p110delta and p55alpha/p50alpha protein levels compared to low stage neuroblastomas. PubMed. 8(1). 4–4. 4 indexed citations
17.
Djos, Anna, Susanne Fransson, Per Kogner, & Tommy Martinsson. (2013). Aneuploidy in neuroblastoma tumors is not associated with inactivating point mutations in the STAG2 gene. BMC Medical Genetics. 14(1). 102–102. 5 indexed citations
18.
Fransson, Susanne & Katarina Ejeskär. (2013). High level of p37δ-mRNA relative to p110δ-mRNA in neuroblastoma tumors correlates with poor patient survival. Medical Oncology. 30(4). 724–724. 6 indexed citations
19.
Fransson, Susanne, Anne Uv, Helena Eriksson, et al.. (2011). p37δ is a new isoform of PI3K p110δ that increases cell proliferation and is overexpressed in tumors. Oncogene. 31(27). 3277–3286. 19 indexed citations
20.
Carén, Helena, Katarina Ejeskär, Susanne Fransson, et al.. (2005). A cluster of genes located in 1p36 are down-regulated in neuroblastomas with poor prognosis, but not due to CpG island methylation.. Molecular Cancer. 4(1). 10–10. 27 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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