Benny Björkblom

1.8k total citations
31 papers, 1.3k citations indexed

About

Benny Björkblom is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Benny Björkblom has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Benny Björkblom's work include Glioma Diagnosis and Treatment (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Benny Björkblom is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Benny Björkblom collaborates with scholars based in Sweden, Norway and Finland. Benny Björkblom's co-authors include Eleanor T. Coffey, Michael J. Courtney, Simon Geir Møller, Vesa Hongisto, Thomas Herdegen, Jodi Maple‐Grødem, Artur Padzik, Jan Larsen, Tuula Kallunki and Maria Befring Hovda and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Benny Björkblom

30 papers receiving 1.3k citations

Peers

Benny Björkblom

CMN

NEURO

Tae‐Ju Park United States

Monika Poppe Germany

Jeong Ae Park South Korea

Rossella Brandi Italy

Jaganmohan R. Jangamreddy Sweden

Soochul Park South Korea

Edward T. W. Bampton United Kingdom

Hidehito Kuroyanagi Japan

Lin Bai China

Nadine Henke Germany

Tae‐Ju Park United States

Benny Björkblom

772 ×1.0

269 ×0.8

CMN

186 ×0.7

63 ×0.4

52 ×0.4

NEURO

Citations per year, relative to Benny Björkblom Benny Björkblom (= 1×) peers Tae‐Ju Park

Countries citing papers authored by Benny Björkblom

Since Specialization

Citations

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

Fields of papers citing papers by Benny Björkblom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benny Björkblom

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

All Works

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20 of 20 papers shown

Björkblom, Benny, et al.. (2025). OPLS-Based Multiclass Classification and Data-Driven Interclass Relationship Discovery. Journal of Chemical Information and Modeling. 65(4). 1762–1770. 7 indexed citations

Sonveaux, Pierre, Kim De Keersmaecker, Barbara Dewaele, et al.. (2024). Sertraline/chloroquine combination therapy to target hypoxic and immunosuppressive serine/glycine synthesis-dependent glioblastomas. Oncogenesis. 13(1). 39–39. 4 indexed citations

Hellquist, Barbro Numan, Maria Sandström, Wendy Wu, et al.. (2024). Antidepressant drugs and risk of developing glioma: a national registry-based case-control study and a meta-analysis. American Journal of Epidemiology. 193(11). 1592–1599.

Antti, Henrik, et al.. (2024). Blood based metabolic markers of glioma from pre-diagnosis to surgery. Scientific Reports. 14(1). 20680–20680. 2 indexed citations

Liu, Dan, Minxia Liu, Benny Björkblom, et al.. (2024). LAPTM4B counteracts ferroptosis via suppressing the ubiquitin-proteasome degradation of SLC7A11 in non-small cell lung cancer. Cell Death and Disease. 15(6). 436–436. 10 indexed citations

Andersson‐Hall, Ulrika, Rudolf Kaaks, Matthias B. Schulze, et al.. (2023). Altered plasma metabolite levels can be detected years before a glioma diagnosis. JCI Insight. 8(19). 8 indexed citations

Jonsson, Pär, et al.. (2020). Identification of Pre-Diagnostic Metabolic Patterns for Glioma Using Subset Analysis of Matched Repeated Time Points. Cancers. 12(11). 3349–3349. 16 indexed citations

Björkblom, Benny, Pär Jonsson, Per Bergström, et al.. (2019). Metabolic response patterns in brain microdialysis fluids and serum during interstitial cisplatin treatment of high-grade glioma. British Journal of Cancer. 122(2). 221–232. 24 indexed citations

Andersson, Ulrika, Anna M. Dahlin, Hilde Langseth, et al.. (2016). Pre-diagnostic serum levels of EGFR and ErbB2 and genetic glioma risk variants: a nested case-control study. Tumor Biology. 37(8). 11065–11072. 7 indexed citations

10.

Björkblom, Benny, et al.. (2015). Xenobiotic- and Serum-Free Culture of Oral Mucosal Epithelial Cells on Contact Lenses. Current Eye Research. 41(1). 20–27. 7 indexed citations

11.

Björkblom, Benny, Jodi Maple‐Grødem, Mats Ökvist, et al.. (2013). Parkinson Disease Protein DJ-1 Binds Metals and Protects against Metal-induced Cytotoxicity. Journal of Biological Chemistry. 288(31). 22809–22820. 68 indexed citations

12.

Jónsdóttir, Kristín, Hui Zhang, Ivar Skaland, et al.. (2012). The prognostic value of MARCKS-like 1 in lymph node-negative breast cancer. Breast Cancer Research and Treatment. 135(2). 381–390. 19 indexed citations

13.

Løvdal, Trond, Maria Befring Hovda, Benny Björkblom, & Simon Geir Møller. (2011). Propidium monoazide combined with real-time quantitative PCR underestimates heat-killed Listeria innocua. Journal of Microbiological Methods. 85(2). 164–169. 88 indexed citations

14.

Westerlund, Nina, Justyna Zdrojewska, Artur Padzik, et al.. (2011). Phosphorylation of SCG10/stathmin-2 determines multipolar stage exit and neuronal migration rate. Nature Neuroscience. 14(3). 305–313. 96 indexed citations

15.

Xu, Xiang, Hong Lin, Jodi Maple‐Grødem, et al.. (2010). The Arabidopsis DJ-1a protein confers stress protection through cytosolic SOD activation. Journal of Cell Science. 123(10). 1644–1651. 90 indexed citations

16.

Waetzig, Vicki, Wiebke Haeusgen, Benny Björkblom, et al.. (2009). Concurrent protective and destructive signaling of JNK2 in neuroblastoma cells. Cellular Signalling. 21(6). 873–880. 12 indexed citations

17.

Morfini, Gerardo, Agnieszka Kamińska, Katherine Liu, et al.. (2009). Pathogenic huntingtin inhibits fast axonal transport by activating JNK3 and phosphorylating kinesin. Nature Neuroscience. 12(7). 864–871. 198 indexed citations

18.

Björkblom, Benny, et al.. (2008). All JNKs Can Kill, but Nuclear Localization Is Critical for Neuronal Death. Journal of Biological Chemistry. 283(28). 19704–19713. 79 indexed citations

19.

Li, Wenrui, Benny Björkblom, Artur Padzik, et al.. (2006). JNK1 phosphorylation of SCG10 determines microtubule dynamics and axodendritic length. The Journal of Cell Biology. 173(2). 265–277. 154 indexed citations

20.

Armstrong, Lucas C., et al.. (2002). Thrombospondin 2 Inhibits Microvascular Endothelial Cell Proliferation by a Caspase-independent Mechanism. Molecular Biology of the Cell. 13(6). 1893–1905. 94 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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