Sirle Laos

433 total citations
10 papers, 336 citations indexed

About

Sirle Laos is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sirle Laos has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Sirle Laos's work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Sirle Laos is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Sirle Laos collaborates with scholars based in Sweden, Estonia and Spain. Sirle Laos's co-authors include Gunnar C. Hansson, Dan Baeckström, Julia Fernández-Rodrı́guez, Christian X. Andersson, Antonio Luque-García, Joaquı́n Arribas, José Baselga, Matthew Cunningham, Jesús Garcı́a-Castillo and Anna Bach-Faig and has published in prestigious journals such as Molecular and Cellular Biology, Oncogene and Analytical Biochemistry.

In The Last Decade

Sirle Laos

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sirle Laos Sweden 9 163 151 92 58 43 10 336
Ki‐Hoon Song South Korea 10 249 1.5× 101 0.7× 60 0.7× 71 1.2× 44 1.0× 31 427
Klaus-Peter Gilbertz Germany 9 148 0.9× 92 0.6× 97 1.1× 25 0.4× 59 1.4× 14 344
Almudena Chaves Perez United States 9 176 1.1× 165 1.1× 31 0.3× 45 0.8× 71 1.7× 13 404
Carlos Ortuño‐Pineda Mexico 12 246 1.5× 123 0.8× 24 0.3× 54 0.9× 103 2.4× 27 448
Heinrich Baust Germany 9 199 1.2× 121 0.8× 36 0.4× 29 0.5× 51 1.2× 11 353
Huiping Guo China 10 320 2.0× 118 0.8× 16 0.2× 27 0.5× 87 2.0× 22 480
Siwen Kang United States 10 132 0.8× 123 0.8× 32 0.3× 211 3.6× 61 1.4× 13 406
Kay Draves United States 9 132 0.8× 41 0.3× 94 1.0× 174 3.0× 17 0.4× 16 392
I. Mayer Austria 8 166 1.0× 92 0.6× 40 0.4× 91 1.6× 55 1.3× 12 359
Chang-Hai Tsai Taiwan 7 198 1.2× 106 0.7× 15 0.2× 23 0.4× 55 1.3× 8 334

Countries citing papers authored by Sirle Laos

Since Specialization
Citations

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

Fields of papers citing papers by Sirle Laos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirle Laos

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

All Works

10 of 10 papers shown
2.
Laos, Sirle, Antoni Caimari, Anna Crescenti, et al.. (2014). Long-term intake of soyabean phytosterols lowers serum TAG and NEFA concentrations, increases bile acid synthesis and protects against fatty liver development in dyslipidaemic hamsters. British Journal Of Nutrition. 112(5). 663–673. 27 indexed citations
3.
Bas-Prior, Josep M Del, Sirle Laos, Antoni Caimari, Anna Crescenti, & Lluı́s Arola. (2012). Detection of bioavailable peroxisome proliferator-activated receptor gamma modulators by a cell-based luciferase reporter system. Analytical Biochemistry. 427(2). 187–189. 8 indexed citations
4.
Pedersen, Kim, Sirle Laos, Anna Bach-Faig, et al.. (2009). A Naturally Occurring HER2 Carboxy-Terminal Fragment Promotes Mammary Tumor Growth and Metastasis. Molecular and Cellular Biology. 29(12). 3319–3331. 137 indexed citations
5.
Laos, Sirle, Kersti Jääger, Janeli Viil, et al.. (2007). CD43 promotes cell growth and helps to evade FAS-mediated apoptosis in non-hematopoietic cancer cells lacking the tumor suppressors p53 or ARF. Oncogene. 27(12). 1705–1715. 17 indexed citations
6.
Laos, Sirle, Dan Baeckström, & Gunnar C. Hansson. (2006). Inhibition of NF-κB activation and chemokine expression by the leukocyte glycoprotein, CD43, in colon cancer cells. International Journal of Oncology. 28(3). 695–704. 21 indexed citations
7.
Andersson, Christian X., Julia Fernández-Rodrı́guez, Sirle Laos, et al.. (2005). Shedding and γ-secretase-mediated intramembrane proteolysis of the mucin-type molecule CD43. Biochemical Journal. 387(2). 377–384. 30 indexed citations
8.
Andersson, Christian X., Julia Fernández-Rodrı́guez, Sirle Laos, et al.. (2004). CD43 has a functional NLS, interacts with β-catenin, and affects gene expression. Biochemical and Biophysical Research Communications. 316(1). 12–17. 22 indexed citations
9.
Laos, Sirle, et al.. (2003). Overexpression of leukocyte marker CD43 causes activation of the tumor suppressor proteins p53 and ARF. Oncogene. 23(14). 2523–2530. 15 indexed citations
10.
Fernández-Rodrı́guez, Julia, et al.. (2002). The Leukocyte Antigen CD43 Is Expressed in Different Cell Lines of Nonhematopoietic Origin. Tumor Biology. 23(4). 193–201. 29 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