Olli Yli‐Harja

7.9k total citations · 2 hit papers
230 papers, 4.9k citations indexed

About

Olli Yli‐Harja is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Olli Yli‐Harja has authored 230 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 31 papers in Genetics and 28 papers in Biophysics. Recurrent topics in Olli Yli‐Harja's work include Gene Regulatory Network Analysis (56 papers), Gene expression and cancer classification (40 papers) and Bioinformatics and Genomic Networks (39 papers). Olli Yli‐Harja is often cited by papers focused on Gene Regulatory Network Analysis (56 papers), Gene expression and cancer classification (40 papers) and Bioinformatics and Genomic Networks (39 papers). Olli Yli‐Harja collaborates with scholars based in Finland, United States and China. Olli Yli‐Harja's co-authors include Ilya Shmulevich, Meenakshisundaram Kandhavelu, Harri Lähdesmäki, Frank Emmert‐Streib, Jaakko Astola, Jyrki Selinummi, André S. Ribeiro, Pekka Ruusuvuori, Matthias Dehmer and Y. Neuvo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Olli Yli‐Harja

218 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Programmed cell death detection methods: a systematic review and a categorical comparison

2022 227 citations Kumar Subramanian, Akshaya Murugesan et al. APOPTOSIS profile →
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges

2024 57 citations Olli Yli‐Harja, Frank Emmert‐Streib et al. SHILAP Revista de lepidopterología profile →

Peers

Olli Yli‐Harja

CVPR

GENET

BIOPH

Xiaobo Zhou United States

Kun Huang United States

Chandan Chakraborty India

Guido Sanguinetti United Kingdom

Markus W. Covert United States

Sungroh Yoon South Korea

Yu Li China

Hans A. Kestler Germany

Alexander J. Hartemink United States

Christine Decaestecker Belgium

Xiaobo Zhou United States

Olli Yli‐Harja

2.9k ×1.1

859 ×1.6

CVPR

287 ×0.5

GENET

1.2k ×2.4

BIOPH

759 ×1.8

Citations per year, relative to Olli Yli‐Harja Olli Yli‐Harja (= 1×) peers Xiaobo Zhou

Countries citing papers authored by Olli Yli‐Harja

Since Specialization

Citations

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

Fields of papers citing papers by Olli Yli‐Harja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olli Yli‐Harja. 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 Olli Yli‐Harja. The network helps show where Olli Yli‐Harja may publish in the future.

Co-authorship network of co-authors of Olli Yli‐Harja

This figure shows the co-authorship network connecting the top 25 collaborators of Olli Yli‐Harja. A scholar is included among the top collaborators of Olli Yli‐Harja 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 Olli Yli‐Harja. Olli Yli‐Harja 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

Saravanan, Konda Mani, Thiyagarajan Ramesh, Olli Yli‐Harja, Meenakshisundaram Kandhavelu, & Akshaya Murugesan. (2023). Structural analysis of human G‐protein‐coupled receptor 17 ligand binding sites. Journal of Cellular Biochemistry. 124(4). 533–544. 1 indexed citations

Mutharasu, Gnanavel, et al.. (2023). Signaling landscape of mitochondrial non-coding RNAs. Journal of Biomolecular Structure and Dynamics. 41(21). 12016–12025. 2 indexed citations

Murugesan, Akshaya, et al.. (2022). P2Y1 agonist HIC in combination with androgen receptor inhibitor abiraterone acetate impairs cell growth of prostate cancer. APOPTOSIS. 27(3-4). 283–295. 3 indexed citations

Yli‐Harja, Olli, et al.. (2021). Molecular interaction study of novel indoline derivatives with EGFR-kinase domain using multiple computational analysis. Journal of Biomolecular Structure and Dynamics. 40(16). 7545–7554. 8 indexed citations

Murugesan, Akshaya, et al.. (2021). Molecular modeling and dynamics studies of the synthetic small molecule agonists with GPR17 and P2Y1 receptor. Journal of Biomolecular Structure and Dynamics. 40(23). 12908–12916. 3 indexed citations

Mutharasu, Gnanavel, Akshaya Murugesan, Konda Mani Saravanan, Olli Yli‐Harja, & Meenakshisundaram Kandhavelu. (2021). Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma. International Journal of Molecular Sciences. 22(2). 517–517. 9 indexed citations

Doan, Phuong L., Akshaya Murugesan, Kumar Subramanian, et al.. (2021). Targeting Orphan G Protein-Coupled Receptor 17 with T0 Ligand Impairs Glioblastoma Growth. Cancers. 13(15). 3773–3773. 8 indexed citations

Murugesan, Akshaya, Ana S. Macedo, Nga T. T. Nguyen, et al.. (2020). Design and Synthesis of Novel Quinic Acid Derivatives: In Vitro Cytotoxicity and Anticancer Effect on Glioblastoma. Future Medicinal Chemistry. 12(21). 1891–1910. 14 indexed citations

Murugesan, Akshaya, et al.. (2020). Anticancer activity of THMPP: Downregulation of PI3K/ S6K1 in breast cancer cell line. Saudi Pharmaceutical Journal. 28(4). 495–503. 5 indexed citations

10.

Yli‐Harja, Olli, et al.. (2020). Alkylamino Phenol Derivative Induces Apoptosis by Inhibiting EGFR Signaling Pathway in Breast Cancer Cells. Anti-Cancer Agents in Medicinal Chemistry. 20(7). 809–819. 6 indexed citations

11.

Musa, Aliyu, Konda Mani Saravanan, Frank Emmert‐Streib, et al.. (2019). 2-(2-(2,4-dioxopentan-3-ylidene)hydrazineyl)benzonitrile as novel inhibitor of receptor tyrosine kinase and PI3K/AKT/mTOR signaling pathway in glioblastoma. European Journal of Medicinal Chemistry. 166. 291–303. 49 indexed citations

12.

Saravanan, Konda Mani, et al.. (2019). Synthesis and preclinical validation of novel P2Y1 receptor ligands as a potent anti-prostate cancer agent. Scientific Reports. 9(1). 18938–18938. 21 indexed citations

13.

Doan, Phuong L., Vinoth Kumar Megraj Khandelwal, Федор И. Зубков, et al.. (2018). In vitro characterization of arylhydrazones of active methylene derivatives. Saudi Pharmaceutical Journal. 26(3). 430–436. 4 indexed citations

14.

Marucci, Gabriella, Michela Buccioni, Catia Lambertucci, et al.. (2018). Anticancer activity study of A 3 adenosine receptor agonists. Life Sciences. 205. 155–163. 13 indexed citations

15.

Doan, Phuong L., et al.. (2017). Effect of alkylaminophenols on growth inhibition and apoptosis of bone cancer cells. European Journal of Pharmaceutical Sciences. 107. 208–216. 24 indexed citations

16.

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

17.

Oliveira, Samuel M. D., et al.. (2015). Single-cell kinetics of a repressilator when implemented in a single-copy plasmid. Molecular BioSystems. 11(7). 1939–1945. 2 indexed citations

18.

Mutharasu, Gnanavel, Olli Yli‐Harja, & Meenakshisundaram Kandhavelu. (2014). PROTEIN-PROTEIN INTERACTION AND COARSE GRAINED SIMULATION STUDY OF GLIOBLASTOMA MULTIFORME REVEALS NOVEL PATHWAYS OF GPR17. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Lloyd‐Price, Jason, et al.. (2011). Probabilistic RNA partitioning generates transient increases in the normalized variance of RNA numbers in synchronized populations of Escherichia coli. Molecular BioSystems. 8(2). 565–571. 16 indexed citations

20.

Charlebois, Daniel A., André S. Ribeiro, Antti Lehmussola, et al.. (2007). Effects of microarray noise on inference efficiency of a stochastic model of gene networks. 4(2). 15–21. 2 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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