Ilkka Junttila

2.6k total citations · 1 hit paper
47 papers, 2.0k citations indexed

About

Ilkka Junttila is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ilkka Junttila has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 12 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Ilkka Junttila's work include Immune Cell Function and Interaction (12 papers), IL-33, ST2, and ILC Pathways (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Ilkka Junttila is often cited by papers focused on Immune Cell Function and Interaction (12 papers), IL-33, ST2, and ILC Pathways (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Ilkka Junttila collaborates with scholars based in Finland, United States and Sweden. Ilkka Junttila's co-authors include William E. Paul, Olli Silvennoinen, Pipsa Saharinen, Daniela Ungureanu, Douglas J. Hilton, Liying Guo, Ryoji Yagi, Laura Kummola, Martin Meier‐Schellersheim and Nicola Heller and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Immunity.

In The Last Decade

Ilkka Junttila

43 papers receiving 1.9k citations

Hit Papers

Tuning the Cytokine Responses: An Update on Interleukin (... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilkka Junttila Finland 20 964 532 404 276 134 47 2.0k
Dunfang Zhang China 25 913 0.9× 561 1.1× 284 0.7× 287 1.0× 84 0.6× 49 2.0k
Pascale Alard United States 26 1.4k 1.4× 541 1.0× 292 0.7× 154 0.6× 91 0.7× 65 2.3k
Marina S. Drutskaya Russia 27 848 0.9× 566 1.1× 324 0.8× 140 0.5× 83 0.6× 95 2.0k
Nicodemus Tedla Australia 30 1.3k 1.4× 663 1.2× 246 0.6× 378 1.4× 172 1.3× 81 2.6k
Adriana Ortiz-Lopez United States 12 970 1.0× 1.1k 2.1× 322 0.8× 214 0.8× 197 1.5× 14 2.2k
Yosuke Kurashima Japan 25 979 1.0× 714 1.3× 191 0.5× 341 1.2× 74 0.6× 48 2.2k
Soraya Mezouar France 24 635 0.7× 527 1.0× 397 1.0× 177 0.6× 80 0.6× 76 2.1k
Alistair Noble United Kingdom 31 1.5k 1.6× 475 0.9× 268 0.7× 665 2.4× 68 0.5× 73 2.5k
Pilar Martı́n Spain 35 2.4k 2.5× 850 1.6× 574 1.4× 190 0.7× 91 0.7× 74 3.6k

Countries citing papers authored by Ilkka Junttila

Since Specialization
Citations

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

Fields of papers citing papers by Ilkka Junttila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilkka Junttila

This figure shows the co-authorship network connecting the top 25 collaborators of Ilkka Junttila. A scholar is included among the top collaborators of Ilkka 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 Ilkka Junttila. Ilkka 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
2.
Aittomäki, Saara, Mickaël J. Ploquin, Juha Kesseli, et al.. (2023). FURIN regulates cytotoxic T‐lymphocyte effector function and memory cell transition in mice. European Journal of Immunology. 53(6). e2250246–e2250246. 3 indexed citations
3.
Kummola, Laura, et al.. (2023). Low IL-13Rα1 expression on mast cells tunes them unresponsive to IL-13. Journal of Leukocyte Biology. 114(2). 187–194. 1 indexed citations
4.
Kummola, Laura, et al.. (2023). IL-4, IL-13 and IFN-γ -induced genes in highly purified human neutrophils. Cytokine. 164. 156159–156159. 5 indexed citations
5.
Juntunen, Miia, Laura Kummola, Ilkka Junttila, et al.. (2023). Immunomodulatory Functions of Adipose Mesenchymal Stromal/Stem Cell Derived From Donors With Type 2 Diabetes and Obesity on CD4 T Cells. Stem Cells. 41(5). 505–519. 10 indexed citations
6.
Sinikumpu, Suvi‐Päivikki, et al.. (2022). Impact of COVID-19 Pandemic on the Incidence of Sexually Transmitted Infections in Northern Finland in 2019 to 2022. Acta Dermato Venereologica. 102. adv00795–adv00795. 8 indexed citations
7.
Kummola, Laura, et al.. (2021). IL-13Rα1 Suppresses Tumor Progression in Two-Stage Skin Carcinogenesis Model by Regulating Regulatory T Cells. Journal of Investigative Dermatology. 142(6). 1565–1575.e17. 4 indexed citations
8.
Yagi, Ryoji, Yukihiro Endo, Ryo Koyama‐Nasu, et al.. (2021). IFNγ suppresses the expression of GFI1 and thereby inhibits Th2 cell proliferation. PLoS ONE. 16(11). e0260204–e0260204. 6 indexed citations
9.
Nurminen, Noora, Laura Kummola, Olli H. Laitinen, et al.. (2021). Effect of inactivated nature‐derived microbial composition on mouse immune system. Immunity Inflammation and Disease. 10(3). e579–e579. 9 indexed citations
10.
Nevalainen, Tapio, et al.. (2019). CD27- IgD- B cell memory subset associates with inflammation and frailty in elderly individuals but only in males. Immunity & Ageing. 16(1). 19–19. 26 indexed citations
11.
Pasanen, Anu, Minna K. Karjalainen, Laura Kummola, et al.. (2018). NKG2D gene variation and susceptibility to viral bronchiolitis in childhood. Pediatric Research. 84(3). 451–457. 5 indexed citations
12.
Junttila, Ilkka. (2018). Tuning the Cytokine Responses: An Update on Interleukin (IL)-4 and IL-13 Receptor Complexes. Frontiers in Immunology. 9. 888–888. 467 indexed citations breakdown →
13.
Kananen, Laura, Saara Marttila, Tapio Nevalainen, et al.. (2016). The trajectory of the blood DNA methylome ageing rate is largely set before adulthood: evidence from two longitudinal studies. AGE. 38(3). 65–65. 50 indexed citations
14.
Koho, Tiia, Sami Oikarinen, Laura Kummola, et al.. (2014). Coxsackievirus B3 VLPs purified by ion exchange chromatography elicit strong immune responses in mice. Antiviral Research. 104. 93–101. 40 indexed citations
15.
Isomäki, Pia, et al.. (2014). The activity of JAK-STAT pathways in rheumatoid arthritis: constitutive activation of STAT3 correlates with interleukin 6 levels. Lara D. Veeken. 54(6). 1103–1113. 95 indexed citations
16.
Junttila, Ilkka, L. Cynthia Watson, Laura Kummola, et al.. (2013). Efficient cytokine-induced IL-13 production by mast cells requires both IL-33 and IL-3. Journal of Allergy and Clinical Immunology. 132(3). 704–712.e10. 45 indexed citations
17.
Junttila, Ilkka, Rémi J. Creusot, Ignacio Moraga, et al.. (2012). Redirecting cell-type specific cytokine responses with engineered interleukin-4 superkines. Nature Chemical Biology. 8(12). 990–998. 66 indexed citations
18.
Guo, Liying, Ilkka Junttila, & William E. Paul. (2012). Cytokine-induced cytokine production by conventional and innate lymphoid cells. Trends in Immunology. 33(12). 598–606. 79 indexed citations
19.
Milner, Joshua D., Tatyana Orekov, Jerrold M. Ward, et al.. (2010). Sustained IL-4 exposure leads to a novel pathway for hemophagocytosis, inflammation, and tissue macrophage accumulation. Blood. 116(14). 2476–2483. 90 indexed citations
20.
Yagi, Ryoji, Ilkka Junttila, Gang Wei, et al.. (2010). The Transcription Factor GATA3 Actively Represses RUNX3 Protein-Regulated Production of Interferon-γ. Immunity. 32(4). 507–517. 125 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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