Anders Sundström

980 total citations
19 papers, 554 citations indexed

About

Anders Sundström is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Anders Sundström has authored 19 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Oncology. Recurrent topics in Anders Sundström's work include Glioma Diagnosis and Treatment (10 papers), Cancer Cells and Metastasis (4 papers) and Protein Degradation and Inhibitors (3 papers). Anders Sundström is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Cancer Cells and Metastasis (4 papers) and Protein Degradation and Inhibitors (3 papers). Anders Sundström collaborates with scholars based in Sweden, United States and United Kingdom. Anders Sundström's co-authors include Bo Segerman, Joakim Ågren, Fredrik J. Swartling, Holger Weishaupt, Sara Bolin, Sven Nelander, Sonja Hutter, Tobias Bergström, William A. Weiss and Yoon-Jae Cho and has published in prestigious journals such as Nature Communications, The EMBO Journal and Bioinformatics.

In The Last Decade

Anders Sundström

16 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders Sundström Sweden 11 349 112 100 76 67 19 554
Chun-Feng David Hou United States 15 251 0.7× 52 0.5× 147 1.5× 100 1.3× 48 0.7× 30 472
Ivan Butenko Russia 14 474 1.4× 91 0.8× 72 0.7× 96 1.3× 45 0.7× 38 761
Leanne Purins Australia 9 166 0.5× 131 1.2× 109 1.1× 33 0.4× 55 0.8× 12 525
Sara Ballester Spain 16 413 1.2× 192 1.7× 45 0.5× 73 1.0× 125 1.9× 26 817
Karen P. Plant United States 12 256 0.7× 165 1.5× 53 0.5× 113 1.5× 34 0.5× 15 779
Louis Delbecchi Canada 15 243 0.7× 24 0.2× 71 0.7× 150 2.0× 145 2.2× 32 858
Warren Emmett United Kingdom 12 485 1.4× 51 0.5× 57 0.6× 48 0.6× 21 0.3× 12 747
Catherine D. O’Connell United States 14 540 1.5× 16 0.1× 51 0.5× 83 1.1× 113 1.7× 20 785
Koji Ando Japan 15 214 0.6× 26 0.2× 69 0.7× 34 0.4× 91 1.4× 82 635

Countries citing papers authored by Anders Sundström

Since Specialization
Citations

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

Fields of papers citing papers by Anders Sundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Sundström

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

All Works

19 of 19 papers shown
1.
Zhao, Miao, Anders Sundström, Thale Kristin Olsen, et al.. (2024). MDB-52. MYC-DRIVEN PEDIATRIC BRAIN TUMORS SHARE A COMMON PHOTORECEPTOR IDENTITY. Neuro-Oncology. 26(Supplement_4). 0–0. 1 indexed citations
2.
Weishaupt, Holger, Miao Zhao, Stacey Richardson, et al.. (2023). ARF suppression by MYC but not MYCN confers increased malignancy of aggressive pediatric brain tumors. Nature Communications. 14(1). 1221–1221. 10 indexed citations
3.
Zhao, Miao, Ramy Elgendy, Milena Doroszko, et al.. (2022). MEDB-55. Single-cell transcriptomics reveals progenitor cells expressing a photoreceptor program as putative cells origin of MYC-driven Group 3 Medulloblastoma. Neuro-Oncology. 24(Supplement_1). i119–i119.
4.
Dang, Yonglong, Francesco Latini, Tobias Bergström, et al.. (2022). STEM-08. MODELING AND UNDERSTANDING GLIOBLASTOMA EDGE CELLS. Neuro-Oncology. 24(Supplement_7). vii32–vii32.
5.
Adolphe, Christelle, Marija Kojic, Deborah S. Barkauskas, et al.. (2021). SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation. Molecular Cancer Research. 19(11). 1831–1839. 5 indexed citations
6.
Elgendy, Ramy, Thale Kristin Olsen, Cecilia Dyberg, et al.. (2020). Integrative discovery of treatments for high-risk neuroblastoma. Nature Communications. 11(1). 71–71. 44 indexed citations
7.
Hutter, Sonja, Anders Sundström, Jignesh Tailor, et al.. (2019). Humanized Stem Cell Models of Pediatric Medulloblastoma Reveal an Oct4/mTOR Axis that Promotes Malignancy. Cell stem cell. 25(6). 855–870.e11. 47 indexed citations
8.
Tan, E‐Jean, Yuan Xie, Anders Sundström, et al.. (2019). A molecularly distinct subset of glioblastoma requires serum‐containing media to establish sustainable bona fide glioblastoma stem cell cultures. Glia. 68(6). 1228–1240. 5 indexed citations
9.
Weishaupt, Holger, Patrik Johansson, Anders Sundström, et al.. (2019). Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genes. Bioinformatics. 35(18). 3357–3364. 29 indexed citations
10.
Niklasson, Mia, Tobias Bergström, Malin Jarvius, et al.. (2019). Mesenchymal transition and increased therapy resistance of glioblastoma cells is related to astrocyte reactivity. The Journal of Pathology. 249(3). 295–307. 31 indexed citations
11.
Xie, Yuan, Anders Sundström, E‐Jean Tan, et al.. (2018). LGR5 promotes tumorigenicity and invasion of glioblastoma stem‐like cells and is a potential therapeutic target for a subset of glioblastoma patients. The Journal of Pathology. 247(2). 228–240. 21 indexed citations
12.
Bolin, Sara, C. Persson, Anders Sundström, et al.. (2018). Combined BET bromodomain and CDK2 inhibition in MYC-driven medulloblastoma. Oncogene. 37(21). 2850–2862. 62 indexed citations
13.
Sreedharan, Smitha, Yuan Xie, Anders Sundström, et al.. (2016). Mouse Models of Pediatric Supratentorial High-grade Glioma Reveal How Cell-of-Origin Influences Tumor Development and Phenotype. Cancer Research. 77(3). 802–812. 16 indexed citations
14.
Rahmanto, Aldwin Suryo, Sara Bolin, Holger Weishaupt, et al.. (2016). FBW7 suppression leads to SOX9 stabilization and increased malignancy in medulloblastoma. The EMBO Journal. 35(20). 2192–2212. 62 indexed citations
15.
Bolin, Sara, C. Persson, Anders Sundström, et al.. (2016). Abstract 2473: Combined BET-bromodomain and CDK2 inhibition in MYC-driven medulloblastoma. Cancer Research. 76(14_Supplement). 2473–2473. 3 indexed citations
16.
Xie, Yuan, Anders Sundström, Voichita D. Marinescu, et al.. (2016). High LGR5 expression in proneural glioblastoma cells contributes to increased self-renewal and invasiveness.
17.
Andersson, Mats Gunnar, Anders Sundström, & Anders Lindström. (2013). Bayesian Networks for Evaluation of Evidence from Forensic Entomology. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 11(1_suppl). S64–S77. 2 indexed citations
18.
Ågren, Joakim, Raditijo A. Hamidjaja, Trine Lund Hansen, et al.. (2013). In silico and in vitro evaluation of PCR-based assays for the detection ofBacillus anthracischromosomal signature sequences. Virulence. 4(8). 671–685. 17 indexed citations
19.

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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