Sini Junttila

1.1k total citations
37 papers, 612 citations indexed

About

Sini Junttila is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Sini Junttila has authored 37 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Plant Science. Recurrent topics in Sini Junttila's work include Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (5 papers) and Lichen and fungal ecology (4 papers). Sini Junttila is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (5 papers) and Lichen and fungal ecology (4 papers). Sini Junttila collaborates with scholars based in Finland, Austria and United States. Sini Junttila's co-authors include Attila Gyenesei, Stephen Rudd, Asta Laiho, Laura L. Elo, Olli Lassila, K.‐P. Nera, Jukka Alinikula, Katy Schmidt, Marko Virta and Paulina A. Latos and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Circulation Research.

In The Last Decade

Sini Junttila

35 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sini Junttila Finland 13 285 151 65 54 49 37 612
Estela Sasso‐Cerri Brazil 17 223 0.8× 74 0.5× 35 0.5× 27 0.5× 68 1.4× 43 737
Yuan Yao China 20 306 1.1× 87 0.6× 106 1.6× 70 1.3× 261 5.3× 59 1.1k
Olga Genin Israel 22 463 1.6× 56 0.4× 67 1.0× 45 0.8× 119 2.4× 37 991
E. González Spain 15 413 1.4× 111 0.7× 48 0.7× 15 0.3× 20 0.4× 36 809
Kerri Dawson Canada 7 512 1.8× 92 0.6× 76 1.2× 42 0.8× 54 1.1× 8 872
Pei Yu China 17 391 1.4× 52 0.3× 84 1.3× 107 2.0× 69 1.4× 46 804
Beate Wilhelm Germany 17 278 1.0× 96 0.6× 37 0.6× 25 0.5× 37 0.8× 34 693
Lei Han China 19 272 1.0× 109 0.7× 64 1.0× 68 1.3× 44 0.9× 60 929
I‐Hsuan Liu Taiwan 12 298 1.0× 85 0.6× 83 1.3× 16 0.3× 74 1.5× 33 605
Zhou Zhou China 18 522 1.8× 94 0.6× 48 0.7× 31 0.6× 93 1.9× 41 1.0k

Countries citing papers authored by Sini Junttila

Since Specialization
Citations

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

Fields of papers citing papers by Sini Junttila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sini Junttila

This figure shows the co-authorship network connecting the top 25 collaborators of Sini Junttila. A scholar is included among the top collaborators of Sini Junttila 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 Sini Junttila. Sini Junttila 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.
Kleino, Iivari, António G. G. Sousa, Sami Pietilä, et al.. (2024). CellRomeR: an R package for clustering cell migration phenotypes from microscopy data. Bioinformatics Advances. 5(1). vbaf069–vbaf069.
2.
Junttila, Sini, Subhash Tripathi, Kartiek Kanduri, et al.. (2024). A proximal enhancer regulates RORA expression during early human Th17 cell differentiation. Clinical Immunology. 264. 110261–110261. 2 indexed citations
3.
Buchacher, Tanja, Riina Kaukonen, António G. G. Sousa, et al.. (2023). PIM kinases regulate early human Th17 cell differentiation. Cell Reports. 42(12). 113469–113469. 7 indexed citations
4.
Charkiewicz, Radosław, Anetta Sulewska, Robert Mróz, et al.. (2023). Serum Insights: Leveraging the Power of miRNA Profiling as an Early Diagnostic Tool for Non-Small Cell Lung Cancer. Cancers. 15(20). 4910–4910. 6 indexed citations
5.
Junttila, Sini, et al.. (2022). Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data. Briefings in Bioinformatics. 23(5). 35 indexed citations
6.
Jankowicz-Cieślak, Joanna, Sini Junttila, Bence Gálik, et al.. (2022). Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar. Plants. 11(23). 3232–3232. 8 indexed citations
7.
Laajala, Essi, Taina Härkönen, Sini Junttila, et al.. (2022). Early DNA methylation changes in children developing beta cell autoimmunity at a young age. Diabetologia. 65(5). 844–860. 12 indexed citations
8.
Junttila, Sini, et al.. (2021). scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data. Bioinformatics. 38(5). 1328–1335. 9 indexed citations
9.
Rytkönen, Kalle T., et al.. (2021). Differential ATAC-seq and ChIP-seq peak detection using ROTS. NAR Genomics and Bioinformatics. 3(3). lqab059–lqab059. 3 indexed citations
10.
Steffen, Philipp A., Sini Junttila, Attila Gyenesei, et al.. (2021). The Trithorax group protein ASH1 requires a combination of BAH domain and AT hooks, but not the SET domain, for mitotic chromatin binding and survival. Chromosoma. 130(2-3). 215–234. 2 indexed citations
11.
Junttila, Sini, et al.. (2020). ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data. Bioinformatics. 37(8). 1107–1114. 5 indexed citations
12.
Haider, Sandra, Thomas R. Burkard, Victoria Kunihs, et al.. (2019). Estrogen Signaling Drives Ciliogenesis in Human Endometrial Organoids. Endocrinology. 160(10). 2282–2297. 73 indexed citations
13.
Bachmann, Barbara, Christian Jordan, Iris Ribitsch, et al.. (2019). Microfluidic nutrient gradient–based three-dimensional chondrocyte culture-on-a-chip as an in vitro equine arthritis model. Materials Today Bio. 4. 100023–100023. 63 indexed citations
14.
Kun, József, Éva Szőke, Tibor A. Rauch, et al.. (2018). Transcriptional Alterations in the Trigeminal Ganglia, Nucleus and Peripheral Blood Mononuclear Cells in a Rat Orofacial Pain Model. Frontiers in Molecular Neuroscience. 11. 219–219. 27 indexed citations
15.
Asaoka, Tomoko, Jorge Almagro, Alexander Schleiffer, et al.. (2016). Linear ubiquitination by LUBEL has a role in Drosophila heat stress response. EMBO Reports. 17(11). 1624–1640. 31 indexed citations
16.
Junttila, Sini, Asta Laiho, Attila Gyenesei, & Stephen Rudd. (2013). Whole transcriptome characterization of the effects of dehydration and rehydration on Cladonia rangiferina, the grey reindeer lichen. BMC Genomics. 14(1). 870–870. 33 indexed citations
17.
Parikka, Mataleena, Sini Junttila, Asta Laiho, et al.. (2012). SAP30L (Sin3A‐associated protein 30‐like) is involved in regulation of cardiac development and hematopoiesis in zebrafish embryos. Journal of Cellular Biochemistry. 113(12). 3843–3852. 8 indexed citations
19.
Alinikula, Jukka, K.‐P. Nera, Sini Junttila, & Olli Lassila. (2011). Alternate pathways for Bcl6‐mediated regulation of B cell to plasma cell differentiation. European Journal of Immunology. 41(8). 2404–2413. 46 indexed citations
20.
Junttila, Sini, et al.. (1996). Rapid detection and isolataion of DNA-binding compounds: from Streptomyces xanthochromogenes. Letters in Applied Microbiology. 23(4). 231–233. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026