Päivi Östling

3.0k total citations · 1 hit paper
44 papers, 2.0k citations indexed

About

Päivi Östling is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Päivi Östling has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Päivi Östling's work include Acute Myeloid Leukemia Research (8 papers), Prostate Cancer Treatment and Research (8 papers) and MicroRNA in disease regulation (7 papers). Päivi Östling is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Prostate Cancer Treatment and Research (8 papers) and MicroRNA in disease regulation (7 papers). Päivi Östling collaborates with scholars based in Finland, Sweden and United States. Päivi Östling's co-authors include Olli Kallioniemi, Pekka Kohonen, Suvi‐Katri Leivonen, Merja Perälä, Anna Aakula, Lea Sistonen, Valérie Mezger, Péter Horváth, Johanna Björk and Pia Roos‐Mattjus and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Päivi Östling

41 papers receiving 2.0k citations

Hit Papers

Screening out irrelevant cell-based models of disease 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Päivi Östling Finland 22 1.4k 689 361 254 240 44 2.0k
Sven Nelander Sweden 26 1.4k 1.1× 468 0.7× 412 1.1× 177 0.7× 118 0.5× 74 2.2k
Ulrike Korf Germany 27 1.7k 1.2× 506 0.7× 280 0.8× 171 0.7× 183 0.8× 63 2.2k
Darren R. Tyson United States 25 1.0k 0.7× 360 0.5× 546 1.5× 97 0.4× 220 0.9× 55 1.7k
Jianting Sheng United States 17 1.7k 1.2× 810 1.2× 1.2k 3.2× 149 0.6× 276 1.1× 35 2.6k
Laura M. Selfors United States 25 2.0k 1.5× 640 0.9× 874 2.4× 240 0.9× 286 1.2× 43 3.2k
Bhavneet Bhinder United States 20 891 0.7× 415 0.6× 333 0.9× 108 0.4× 156 0.7× 51 1.7k
Shannon M. Mumenthaler United States 21 593 0.4× 249 0.4× 439 1.2× 285 1.1× 113 0.5× 68 1.4k
Hyun Goo Woo South Korea 32 1.7k 1.2× 931 1.4× 665 1.8× 109 0.4× 410 1.7× 106 3.1k
Sydney M. Shaffer United States 15 1.6k 1.2× 478 0.7× 354 1.0× 92 0.4× 70 0.3× 28 2.0k
Dongya Jia United States 22 1.6k 1.2× 1.1k 1.6× 1.1k 3.2× 157 0.6× 245 1.0× 50 2.7k

Countries citing papers authored by Päivi Östling

Since Specialization
Citations

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

Fields of papers citing papers by Päivi Östling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Päivi Östling

This figure shows the co-authorship network connecting the top 25 collaborators of Päivi Östling. A scholar is included among the top collaborators of Päivi Östling 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 Päivi Östling. Päivi Östling 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.
Vesterlund, Mattias, Tojo James, Georgios Mermelekas, et al.. (2024). Delineating functional and molecular impact of ex vivo sample handling in precision medicine. npj Precision Oncology. 8(1). 38–38. 2 indexed citations
2.
Fonseca, Pedro, Weiyingqi Cui, Le Tong, et al.. (2024). A phenotypic screening approach to target p60AmotL2-expressing invasive cancer cells. Journal of Experimental & Clinical Cancer Research. 43(1). 107–107.
3.
Erkers, Tom, Päivi Östling, Mattias Vesterlund, et al.. (2024). Pathway activation model for personalized prediction of drug synergy. eLife. 13. 1 indexed citations
4.
Pawitan, Yudi, Tom Erkers, Päivi Östling, et al.. (2023). Prediction model for drug response of acute myeloid leukemia patients. npj Precision Oncology. 7(1). 32–32. 6 indexed citations
5.
Jiang, Long, Ming-Mei Shang, Fredrik Wermeling, et al.. (2023). High‐content screening of drug combinations of an mPGES ‐1 inhibitor in multicellular tumor spheroids leads to mechanistic insights into neuroblastoma chemoresistance. Molecular Oncology. 18(2). 317–335. 5 indexed citations
6.
Potdar, Swapnil, Aleksandr Ianevski, Ziaurrehman Tanoli, et al.. (2023). Breeze 2.0: an interactive web-tool for visual analysis and comparison of drug response data. Nucleic Acids Research. 51(W1). W57–W61. 6 indexed citations
7.
Aswad, Luay, Matthias Stahl, Elena Kunold, et al.. (2022). Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines. Nature Communications. 13(1). 1691–1691. 30 indexed citations
8.
Kaipio, Katja, Ping Chen, Kaisa Huhtinen, et al.. (2019). ALDH1A1‐related stemness in high‐grade serous ovarian cancer is a negative prognostic indicator but potentially targetable by EGFR/mTOR‐PI3K/aurora kinase inhibitors. The Journal of Pathology. 250(2). 159–169. 44 indexed citations
9.
Brodin, Bertha, Krister Wennerberg, Elisabet Lidbrink, et al.. (2019). Drug sensitivity testing on patient-derived sarcoma cells predicts patient response to treatment and identifies c-Sarc inhibitors as active drugs for translocation sarcomas. British Journal of Cancer. 120(4). 435–443. 25 indexed citations
10.
Turunen, S. Pauliina, Pernilla von Nandelstadh, Tiina Öhman, et al.. (2019). FGFR4 phosphorylates MST1 to confer breast cancer cells resistance to MST1/2-dependent apoptosis. Cell Death and Differentiation. 26(12). 2577–2593. 46 indexed citations
11.
Saeed, Khalid, Teijo Pellinen, Samuli Eldfors, et al.. (2018). Clonal heterogeneity influences drug responsiveness in renal cancer assessed by ex vivo drug testing of multiple patient‐derived cancer cells. International Journal of Cancer. 144(6). 1356–1366. 26 indexed citations
12.
Mäki-Jouppila, Jenni H., Johanna Tuomela, Mari I. Suominen, et al.. (2017). Abstract 4207: Selective drug sensitivity score (DSS) for indolent and aggressive prostate cancer cell lines. Cancer Research. 77(13_Supplement). 4207–4207. 1 indexed citations
13.
Mpindi, John Patrick, Bhagwan Yadav, Päivi Östling, et al.. (2016). Consistency in drug response profiling. Nature. 540(7631). E5–E6. 56 indexed citations
14.
Pemovska, Tea, Päivi Östling, Caroline A. Heckman, Olli Kallioniemi, & Krister Wennerberg. (2015). Individualised systems medicine: Next-generation precision cancer medicine and drug positioning. 16(3). 47–53. 1 indexed citations
16.
Östling, Päivi, Suvi‐Katri Leivonen, Anna Aakula, et al.. (2011). Systematic Analysis of MicroRNAs Targeting the Androgen Receptor in Prostate Cancer Cells. Cancer Research. 71(5). 1956–1967. 227 indexed citations
17.
Östling, Päivi, Suvi‐Katri Leivonen, Anna Aakula, et al.. (2011). Abstract 3977: Systematic analysis of microRNAs targeting the androgen receptor in prostate cancer cells. Cancer Research. 71(8_Supplement). 3977–3977. 3 indexed citations
18.
19.
Leivonen, Suvi‐Katri, Anne Rokka, Päivi Östling, et al.. (2011). Identification of miR-193b Targets in Breast Cancer Cells and Systems Biological Analysis of Their Functional Impact. Molecular & Cellular Proteomics. 10(7). M110.005322–M110.005322. 67 indexed citations
20.
Chang, Yunhua, Päivi Östling, Malin Åkerfelt, et al.. (2006). Role of heat-shock factor 2 in cerebral cortex formation and as a regulatorof p35 expression. Genes & Development. 20(7). 836–847. 73 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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