Laura Turunen

1.3k total citations
19 papers, 335 citations indexed

About

Laura Turunen is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Laura Turunen has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Biomedical Engineering. Recurrent topics in Laura Turunen's work include Computational Drug Discovery Methods (4 papers), Cancer Cells and Metastasis (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Laura Turunen is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cancer Cells and Metastasis (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Laura Turunen collaborates with scholars based in Finland, Sweden and Germany. Laura Turunen's co-authors include Krister Wennerberg, Jani Saarela, Evgeny Kulesskiy, Tero Aittokallio, Jing Tang, Liye He, Hans Söderlund, Kristiina Takkinen, Timo Pulli and Swapnil Potdar and has published in prestigious journals such as Journal of Molecular Biology, Cancer Research and Scientific Reports.

In The Last Decade

Laura Turunen

18 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Turunen Finland 10 219 80 73 46 44 19 335
Luwei Liu United States 5 312 1.4× 114 1.4× 71 1.0× 42 0.9× 41 0.9× 11 509
Ann Palladino United States 4 352 1.6× 109 1.4× 75 1.0× 55 1.2× 34 0.8× 5 524
Alexander R. Chait United States 5 305 1.4× 105 1.3× 70 1.0× 38 0.8× 34 0.8× 7 507
Hayley E. Francies United Kingdom 10 246 1.1× 178 2.2× 48 0.7× 128 2.8× 29 0.7× 17 436
Injae Shin South Korea 12 258 1.2× 55 0.7× 24 0.3× 32 0.7× 13 0.3× 24 418
Åsmund Flobak Norway 10 221 1.0× 57 0.7× 76 1.0× 41 0.9× 10 0.2× 24 376
Yihong Yu China 9 284 1.3× 94 1.2× 81 1.1× 74 1.6× 10 0.2× 15 453
Catherine Bardelle United Kingdom 12 237 1.1× 66 0.8× 39 0.5× 17 0.4× 12 0.3× 20 395
Alexander Hogrebe United States 6 584 2.7× 60 0.8× 24 0.3× 35 0.8× 15 0.3× 10 747
Patricia Jaaks Switzerland 11 474 2.2× 149 1.9× 76 1.0× 129 2.8× 12 0.3× 14 650

Countries citing papers authored by Laura Turunen

Since Specialization
Citations

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

Fields of papers citing papers by Laura Turunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Turunen

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Turunen. A scholar is included among the top collaborators of Laura Turunen 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 Laura Turunen. Laura Turunen 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.
Kuivanen, Suvi, Swapnil Potdar, Antti Hassinen, et al.. (2024). Drug repurposing platform for deciphering the druggable SARS-CoV-2 interactome. Antiviral Research. 223. 105813–105813. 2 indexed citations
2.
Cavalcante, Bruno Remígio, et al.. (2024). Evaluation of BH3 mimetics as a combination therapy with irradiation in head and neck squamous cell carcinoma. Biomedicine & Pharmacotherapy. 175. 116719–116719. 1 indexed citations
3.
Turunen, Laura, Antti Hassinen, Lauri Paasonen, et al.. (2023). Comparison of two supporting matrices for patient-derived cancer cells in 3D drug sensitivity and resistance testing assay (3D-DSRT). SLAS DISCOVERY. 28(4). 138–148. 8 indexed citations
4.
Arjama, Mariliina, Astrid Murumägi, Olli Kallioniemi, et al.. (2022). Protocol for 3D drug sensitivity and resistance testing of patient-derived cancer cells in 384-well plates. SLAS DISCOVERY. 28(2). 36–41. 3 indexed citations
5.
Ianevski, Aleksandr, Jenni Lahtela, Komal Kumar Javarappa, et al.. (2021). Patient-tailored design for selective co-inhibition of leukemic cell subpopulations. Science Advances. 7(8). 27 indexed citations
6.
Hyytiäinen, Aini, Ahmed Al‐Samadi, Aleksandr Ianevski, et al.. (2021). High-throughput compound screening identifies navitoclax combined with irradiation as a candidate therapy for HPV-negative head and neck squamous cell carcinoma. Scientific Reports. 11(1). 14755–14755. 9 indexed citations
7.
Berker, Yannick, Heike Peterziel, Laura Turunen, et al.. (2021). iTReX: Interactive exploration of mono- and combination therapy dose response profiling data. Pharmacological Research. 175. 105996–105996. 9 indexed citations
8.
Al‐Samadi, Ahmed, Swapnil Potdar, Laura Turunen, et al.. (2019). Human Tumor–Derived Matrix Improves the Predictability of Head and Neck Cancer Drug Testing. Cancers. 12(1). 92–92. 22 indexed citations
9.
Casado, Julia, Laura Turunen, Suvi‐Katri Leivonen, et al.. (2019). Drug screening approach combines epigenetic sensitization with immunochemotherapy in cancer. Clinical Epigenetics. 11(1). 192–192. 2 indexed citations
10.
Turunen, Laura, Lauri Paasonen, Swapnil Potdar, et al.. (2018). Abstract 5029: Precision cancer medicine based on 3D drug profiling of patient-derived cancer cell spheroid models. Cancer Research. 78(13_Supplement). 5029–5029.
11.
He, Liye, Evgeny Kulesskiy, Jani Saarela, et al.. (2018). Methods for High-throughput Drug Combination Screening and Synergy Scoring. Methods in molecular biology. 1711. 351–398. 126 indexed citations
12.
Turunen, Laura, Anna Lehto, Jani Saarela, et al.. (2015). Discovery of MINC1, a GTPase-Activating Protein Small Molecule Inhibitor, Targeting MgcRacGAP. Combinatorial Chemistry & High Throughput Screening. 18(1). 3–17. 10 indexed citations
13.
Szwajda, Agnieszka, Prson Gautam, Leena Karhinen, et al.. (2015). Systematic Mapping of Kinase Addiction Combinations in Breast Cancer Cells by Integrating Drug Sensitivity and Selectivity Profiles. Chemistry & Biology. 22(8). 1144–1155. 16 indexed citations
14.
Kulesskiy, Evgeny, Jani Saarela, Laura Turunen, & Krister Wennerberg. (2015). Precision Cancer Medicine in the Acoustic Dispensing Era: Ex Vivo Primary Cell Drug Sensitivity Testing. SLAS TECHNOLOGY. 21(1). 27–36. 21 indexed citations
15.
16.
Pietiäinen, Vilja, Jani Saarela, Carina von Schantz, et al.. (2014). The High Throughput Biomedicine Unit at the Institute for Molecular Medicine Finland: High Throughput Screening Meets Precision Medicine. Combinatorial Chemistry & High Throughput Screening. 17(4). 377–386. 7 indexed citations
17.
Antila, Hanna, Henri Autio, Laura Turunen, et al.. (2013). Utilization of in situ ELISA method for examining Trk receptor phosphorylation in cultured cells. Journal of Neuroscience Methods. 222. 142–146. 10 indexed citations
18.
Turunen, Laura, Timo Pulli, Tarja K. Nevanen, et al.. (2010). A Structural Insight into the Molecular Recognition of a (−)-Δ9-Tetrahydrocannabinol and the Development of a Sensitive, One-Step, Homogeneous Immunocomplex-Based Assay for Its Detection. Journal of Molecular Biology. 400(4). 803–814. 15 indexed citations
19.
Turunen, Laura, Kristiina Takkinen, Hans Söderlund, & Timo Pulli. (2009). Automated Panning and Screening Procedure on Microplates for Antibody Generation from Phage Display Libraries. SLAS DISCOVERY. 14(3). 282–293. 44 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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