Viljar Jaks

3.6k total citations · 2 hit papers
48 papers, 2.8k citations indexed

About

Viljar Jaks is a scholar working on Molecular Biology, Dermatology and Rehabilitation. According to data from OpenAlex, Viljar Jaks has authored 48 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Dermatology and 8 papers in Rehabilitation. Recurrent topics in Viljar Jaks's work include Hedgehog Signaling Pathway Studies (10 papers), Hair Growth and Disorders (5 papers) and Liver physiology and pathology (5 papers). Viljar Jaks is often cited by papers focused on Hedgehog Signaling Pathway Studies (10 papers), Hair Growth and Disorders (5 papers) and Liver physiology and pathology (5 papers). Viljar Jaks collaborates with scholars based in Estonia, Sweden and Finland. Viljar Jaks's co-authors include Rune Toftgård, Maria Kasper, Nick Barker, Johan H. van Es, Hans Clevers, Hugo J.G. Snippert, Harry Begthel, Daniel E. Stange, Robert G. Vries and Maaike van den Born and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Viljar Jaks

48 papers receiving 2.7k citations

Hit Papers

Lgr5 marks cycling, yet long-lived, hair follicle stem cells 2008 2026 2014 2020 2008 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viljar Jaks Estonia 21 1.5k 668 668 521 487 48 2.8k
Catherin Niemann Germany 25 1.2k 0.8× 841 1.3× 480 0.7× 778 1.5× 654 1.3× 39 2.5k
Yasuyuki Amoh Japan 26 1.0k 0.7× 874 1.3× 322 0.5× 327 0.6× 391 0.8× 101 2.6k
Beate M. Lichtenberger Austria 18 1.1k 0.7× 403 0.6× 641 1.0× 533 1.0× 566 1.2× 29 2.6k
Kensei Katsuoka Japan 29 931 0.6× 935 1.4× 377 0.6× 318 0.6× 700 1.4× 130 3.1k
Janet A. Sawicki United States 27 2.0k 1.4× 665 1.0× 493 0.7× 480 0.9× 295 0.6× 61 3.3k
Jackie R. Bickenbach United States 30 2.0k 1.4× 813 1.2× 460 0.7× 1.1k 2.1× 597 1.2× 60 3.6k
Maranke I. Koster United States 25 1.9k 1.3× 296 0.4× 1.1k 1.7× 617 1.2× 408 0.8× 49 3.0k
Mỹ G. Mahoney United States 30 1.4k 0.9× 278 0.4× 276 0.4× 633 1.2× 509 1.0× 68 3.2k
Sophie Dekoninck Belgium 9 1.1k 0.8× 273 0.4× 966 1.4× 535 1.0× 264 0.5× 10 2.4k
Alberto Gandarillas Spain 29 1.4k 0.9× 271 0.4× 646 1.0× 630 1.2× 338 0.7× 53 2.3k

Countries citing papers authored by Viljar Jaks

Since Specialization
Citations

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

Fields of papers citing papers by Viljar Jaks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viljar Jaks

This figure shows the co-authorship network connecting the top 25 collaborators of Viljar Jaks. A scholar is included among the top collaborators of Viljar Jaks 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 Viljar Jaks. Viljar Jaks 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.
Klaas, Mariliis, et al.. (2022). Olfactomedin-4 improves cutaneous wound healing by promoting skin cell proliferation and migration through POU5F1/OCT4 and ESR1 signalling cascades. Cellular and Molecular Life Sciences. 79(3). 157–157. 9 indexed citations
2.
Jaks, Viljar, et al.. (2020). Primary Ciliary Signaling in the Skin—Contribution to Wound Healing and Scarring. Frontiers in Cell and Developmental Biology. 8. 578384–578384. 10 indexed citations
3.
Salazar‐Olivo, Luis A., et al.. (2020). Enhanced proliferative capacity of human preadipocytes achieved by an optimized cultivating method that induces transient activity of hTERT. Biochemical and Biophysical Research Communications. 529(2). 455–461. 1 indexed citations
6.
Klaas, Mariliis, Triin Kangur, Janeli Viil, et al.. (2016). The alterations in the extracellular matrix composition guide the repair of damaged liver tissue. Scientific Reports. 6(1). 27398–27398. 134 indexed citations
7.
Kasper, Maria, Rune Toftgård, & Viljar Jaks. (2016). Isolation and Fluorescence-Activated Cell Sorting of Mouse Keratinocytes Expressing β-Galactosidase. Methods in molecular biology. 1453. 123–136. 2 indexed citations
8.
Viil, Janeli, et al.. (2015). A Novel Inhibitor of AKT1–PDPK1 Interaction Efficiently Suppresses the Activity of AKT Pathway and Restricts Tumor Growth In Vivo. Molecular Cancer Therapeutics. 14(11). 2486–2496. 10 indexed citations
9.
Pook, Martin, et al.. (2015). Changes in Laminin Expression Pattern during Early Differentiation of Human Embryonic Stem Cells. PLoS ONE. 10(9). e0138346–e0138346. 6 indexed citations
10.
Viil, Janeli, et al.. (2015). Laminin-rich blood vessels display activated growth factor signaling and act as the proliferation centers in Dupuytren’s contracture. Arthritis Research & Therapy. 17(1). 144–144. 15 indexed citations
11.
Kasper, Maria, Viljar Jaks, Daniel Hohl, & Rune Toftgård. (2012). Basal cell carcinoma — molecular biology and potential new therapies. Journal of Clinical Investigation. 122(2). 455–463. 109 indexed citations
12.
Sonkoly, Enikö, Jakob Lovén, Ning Xu, et al.. (2012). MicroRNA-203 functions as a tumor suppressor in basal cell carcinoma. Oncogenesis. 1(3). e3–e3. 83 indexed citations
13.
Reemann, Paula, Triin Kangur, Martin Pook, et al.. (2012). Fibroblast growth on micro- and nanopatterned surfaces prepared by a novel sol–gel phase separation method. Journal of Materials Science Materials in Medicine. 24(3). 783–792. 5 indexed citations
14.
Kasper, Maria, Viljar Jaks, Alexandra Are, et al.. (2011). Wounding enhances epidermal tumorigenesis by recruiting hair follicle keratinocytes. Proceedings of the National Academy of Sciences. 108(10). 4099–4104. 115 indexed citations
15.
Snippert, Hugo J.G., Andrea Haegebarth, Maria Kasper, et al.. (2010). Lgr6 Marks Stem Cells in the Hair Follicle That Generate All Cell Lineages of the Skin. Science. 327(5971). 1385–1389. 585 indexed citations breakdown →
16.
Jaks, Viljar, Maria Kasper, & Rune Toftgård. (2010). The hair follicle—a stem cell zoo. Experimental Cell Research. 316(8). 1422–1428. 120 indexed citations
17.
Kasper, Maria, et al.. (2009). Hedgehog signalling in breast cancer. Carcinogenesis. 30(6). 903–911. 112 indexed citations
18.
Jaks, Viljar, Nick Barker, Maria Kasper, et al.. (2008). Lgr5 marks cycling, yet long-lived, hair follicle stem cells. Nature Genetics. 40(11). 1291–1299. 758 indexed citations breakdown →
19.
Sur, Inderpreet, Björn Rozell, Viljar Jaks, Åsa Bergström, & Rune Toftgård. (2006). Epidermal and craniofacial defects in mice overexpressing Klf5 in the basal layer of the epidermis. Journal of Cell Science. 119(17). 3593–3601. 49 indexed citations
20.
Jaks, Viljar, Arvi Jõers, Arnold Kristjuhan, & Toivo Maimets. (2001). p53 protein accumulation in addition to the transactivation activity is required for p53-dependent cell cycle arrest after treatment of cells with camptothecin. Oncogene. 20(10). 1212–1219. 15 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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