Leena Latonen

6.8k total citations
70 papers, 2.5k citations indexed

About

Leena Latonen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Leena Latonen has authored 70 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 20 papers in Pulmonary and Respiratory Medicine and 19 papers in Cancer Research. Recurrent topics in Leena Latonen's work include Prostate Cancer Treatment and Research (18 papers), AI in cancer detection (11 papers) and RNA Research and Splicing (11 papers). Leena Latonen is often cited by papers focused on Prostate Cancer Treatment and Research (18 papers), AI in cancer detection (11 papers) and RNA Research and Splicing (11 papers). Leena Latonen collaborates with scholars based in Finland, United States and United Kingdom. Leena Latonen's co-authors include Marikki Laiho, Tapio Visakorpi, Sari Kurki, David W. Meek, Päivi M. Ojala, Pekka Ruusuvuori, Karita Peltonen, Teuvo L.J. Tammela, Alfonso Urbanucci and Matti Nykter and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Leena Latonen

68 papers receiving 2.5k citations

Peers

Leena Latonen

ONCOL

PRM

Yong Wan China

S Kern United States

Tarek G. Gharib United States

Vito Riccardo Tomaso Zanotelli Switzerland

Saurabh Saha United States

Pavel Sumazin United States

Matan Hofree United States

Gregory Riedlinger United States

Michael Khan United Kingdom

Nicola Waddell Australia

Yong Wan China

Leena Latonen

1.7k ×1.0

636 ×0.9

439 ×0.8

ONCOL

180 ×0.4

PRM

326 ×1.8

Citations per year, relative to Leena Latonen Leena Latonen (= 1×) peers Yong Wan

Countries citing papers authored by Leena Latonen

Since Specialization

Citations

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

Fields of papers citing papers by Leena Latonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leena Latonen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nättinen, Janika, Ulla Aapola, Pavlína Gregorová, et al.. (2024). Long noncoding RNA EPCART regulates translation through PI3K/AKT/mTOR pathway and PDCD4 in prostate cancer. Cancer Gene Therapy. 31(10). 1536–1546. 2 indexed citations

Wen, Huang, Jing Xia Qian, Vanessa Gómez‐Vallejo, et al.. (2024). A PEG-assisted membrane coating to prepare biomimetic mesoporous silicon for PET/CT imaging of triple-negative breast cancer. International Journal of Pharmaceutics. 652. 123764–123764. 11 indexed citations

Moradi, Elaheh, Hanna E. Rauhala, William B. Isaacs, et al.. (2023). Identification of long noncoding RNAs with aberrant expression in prostate cancer metastases. Endocrine Related Cancer. 30(8). 6 indexed citations

Ruusuvuori, Pekka, et al.. (2023). Unstained Tissue Imaging and Virtual Hematoxylin and Eosin Staining of Histologic Whole Slide Images. Laboratory Investigation. 103(5). 100070–100070. 13 indexed citations

Niskanen, Einari A., et al.. (2023). Complementary analysis of proteome‐wide proteomics reveals changes in RNA binding protein‐profiles during prostate cancer progression. Cancer Reports. 6(10). e1886–e1886. 4 indexed citations

Valkonen, Masi, Leslie Solorzano, Kimmo Kartasalo, et al.. (2023). A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics. Scientific Data. 10(1). 562–562. 9 indexed citations

Scaravilli, Mauro, et al.. (2022). miR-32 promotes MYC-driven prostate cancer. Oncogenesis. 11(1). 11–11. 11 indexed citations

Rauhala, Hanna E., et al.. (2022). Nonmalignant AR-positive prostate epithelial cells and cancer cells respond differently to androgen. Endocrine Related Cancer. 29(12). 717–733. 1 indexed citations

Liimatainen, Kaisa, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, & Pekka Ruusuvuori. (2022). Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. 15 indexed citations

10.

Shcherban, Anastasia, Matti Annala, Alfonso Urbanucci, et al.. (2020). AR and ERG drive the expression of prostate cancer specific long noncoding RNAs. Oncogene. 39(30). 5241–5251. 9 indexed citations

11.

Liimatainen, Kaisa, Laura Kananen, Leena Latonen, & Pekka Ruusuvuori. (2019). Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks. BMC Bioinformatics. 20(1). 80–80. 5 indexed citations

12.

Kallio, Heini, Reija Hieta, Leena Latonen, et al.. (2018). Constitutively active androgen receptor splice variants AR-V3, AR-V7 and AR-V9 are co-expressed in castration-resistant prostate cancer metastases. British Journal of Cancer. 119(3). 347–356. 66 indexed citations

13.

Ruusuvuori, Pekka, et al.. (2016). Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection. SHILAP Revista de lepidopterología. 1 indexed citations

14.

Ylipää, Antti, Kati Kivinummi, Matti Annala, et al.. (2015). Transcriptome Sequencing Reveals PCAT5 as a Novel ERG-Regulated Long Noncoding RNA in Prostate Cancer. Cancer Research. 75(19). 4026–4031. 58 indexed citations

15.

Latonen, Leena. (2015). Protein aggregation in neurodegenerative disease: the nucleolar connection. SHILAP Revista de lepidopterología. 2(3). 324–331. 1 indexed citations

16.

Boyd, Sonja, Susanna Virolainen, Jenita Pärssinen, et al.. (2009). MMP‐10 (Stromelysin‐2) and MMP‐21 in human and murine squamous cell cancer. Experimental Dermatology. 18(12). 1044–1052. 21 indexed citations

17.

Latonen, Leena, Päivi M. Järvinen, & Marikki Laiho. (2007). Cytoskeleton-interacting LIM-domain protein CRP1 suppresses cell proliferation and protects from stress-induced cell death. Experimental Cell Research. 314(4). 738–747. 22 indexed citations

18.

Kurki, Sari, Karita Peltonen, Leena Latonen, et al.. (2004). Nucleolar protein NPM interacts with HDM2 and protects tumor suppressor protein p53 from HDM2-mediated degradation. Cancer Cell. 5(5). 465–475. 347 indexed citations

19.

Laiho, Marikki & Leena Latonen. (2003). Cell cycle control, DNA damage checkpoints and cancer. Annals of Medicine. 35(6). 391–397. 36 indexed citations

20.

Latonen, Leena, Sari Kurki, Kimmo Pitkänen, & Marikki Laiho. (2003). p53 and MDM2 are regulated by PI-3-kinases on multiple levels under stress induced by UV radiation and proteasome dysfunction. Cellular Signalling. 15(1). 95–102. 32 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.

Explore authors with similar magnitude of impact