Ilona Silins

881 total citations
28 papers, 624 citations indexed

About

Ilona Silins is a scholar working on Molecular Biology, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ilona Silins has authored 28 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Artificial Intelligence and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ilona Silins's work include Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). Ilona Silins is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). Ilona Silins collaborates with scholars based in Sweden, United Kingdom and United States. Ilona Silins's co-authors include Johan Högberg, Ulla Stenius, Anna Korhonen, Yufan Guo, Lin Sun, Imran Ali, Simon Baker, Maria Liakata, Diarmuid Ó Séaghdha and Sampo Pyysalo and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Ilona Silins

28 papers receiving 606 citations

Peers

Ilona Silins
Benjamin M. Gyori United States
Imran Ali Sweden
Michael C. Rosenstein United States
Kelley Lennon-Hopkins United States
Robert Levinson United States
Michael D. Hogan United States
Shannon Bell United States
Gökhan Yavaş United States
Fei Xue China
Benjamin M. Gyori United States
Ilona Silins
Citations per year, relative to Ilona Silins Ilona Silins (= 1×) peers Benjamin M. Gyori

Countries citing papers authored by Ilona Silins

Since Specialization
Citations

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

Fields of papers citing papers by Ilona Silins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilona Silins

This figure shows the co-authorship network connecting the top 25 collaborators of Ilona Silins. A scholar is included among the top collaborators of Ilona Silins 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 Ilona Silins. Ilona Silins 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.
Papamokos, George & Ilona Silins. (2016). Combining QSAR Modeling and Text-Mining Techniques to Link Chemical Structures and Carcinogenic Modes of Action. Frontiers in Pharmacology. 7. 284–284. 8 indexed citations
2.
Ali, Imran, Johan Högberg, Jui‐Hua Hsieh, et al.. (2016). Gender differences in cancer susceptibility: role of oxidative stress. Carcinogenesis. 37(10). 985–992. 23 indexed citations
3.
Ali, Imran, Yufan Guo, Ilona Silins, et al.. (2015). Grouping chemicals for health risk assessment: A text mining-based case study of polychlorinated biphenyls (PCBs). Toxicology Letters. 241. 32–37. 10 indexed citations
4.
Baker, Simon, Ilona Silins, Yufan Guo, et al.. (2015). Automatic semantic classification of scientific literature according to the hallmarks of cancer. Bioinformatics. 32(3). 432–440. 60 indexed citations
5.
Guo, Yufan, Diarmuid Ó Séaghdha, Ilona Silins, et al.. (2014). CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment. International Conference on Computational Linguistics. 76–80. 8 indexed citations
6.
Silins, Ilona, Anna Korhonen, & Ulla Stenius. (2014). Evaluation of carcinogenic modes of action for pesticides in fruit on the Swedish market using a text-mining tool. Frontiers in Pharmacology. 5. 145–145. 10 indexed citations
7.
Larsson, Kristin, Ilona Silins, Yufan Guo, et al.. (2014). Text mining for improved human exposure assessment. Toxicology Letters. 229. S119–S119. 2 indexed citations
8.
Silins, Ilona, Anna Korhonen, Yufan Guo, & Ulla Stenius. (2014). A text-mining approach for chemical risk assessment and cancer research. Toxicology Letters. 229. S164–S165. 1 indexed citations
9.
Guo, Yufan, Ilona Silins, Roi Reichart, & Anna Korhonen. (2012). CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature. International Conference on Computational Linguistics. 183–190. 6 indexed citations
10.
Korhonen, Anna, Diarmuid Ó Séaghdha, Ilona Silins, et al.. (2012). Text Mining for Literature Review and Knowledge Discovery in Cancer Risk Assessment and Research. PLoS ONE. 7(4). e33427–e33427. 56 indexed citations
11.
Kadekar, Sandeep, Ilona Silins, Anna Korhonen, et al.. (2012). Exocrine Pancreatic Carcinogenesis and Autotaxin Expression. PLoS ONE. 7(8). e43209–e43209. 11 indexed citations
12.
Kadekar, Sandeep, Shyamal D. Peddada, Ilona Silins, et al.. (2012). Gender Differences in Chemical Carcinogenesis in National Toxicology Program 2-Year Bioassays. Toxicologic Pathology. 40(8). 1160–1168. 26 indexed citations
13.
Guo, Yufan, Anna Korhonen, Maria Liakata, et al.. (2011). A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment. BMC Bioinformatics. 12(1). 69–69. 18 indexed citations
14.
Guo, Yufan, Anna Korhonen, Maria Liakata, et al.. (2010). Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes. 99–107. 48 indexed citations
15.
Högberg, Johan, Ilona Silins, & Ulla Stenius. (2009). Chemical induced alterations in p53 signaling. Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions. 99. 181–208. 4 indexed citations
16.
Korhonen, Anna, Ilona Silins, Lin Sun, & Ulla Stenius. (2009). The first step in the development of text mining technology for cancer risk assessment: identifying and organizing scientific evidence in risk assessment literature. BMC Bioinformatics. 10(1). 303–303. 23 indexed citations
17.
Lewin, Ian, Ilona Silins, Anna Korhonen, Johan Högberg, & Ulla Stenius. (2008). A New Challenge for Text Mining: Cancer Risk Assessment. 5 indexed citations
18.
Silins, Ilona, Johan Högberg, & Ulla Stenius. (2006). Dietary sphingolipids suppress a subset of preneoplastic rat liver lesions exhibiting high PTEN, low phospho-Akt and high levels of ceramide species. Food and Chemical Toxicology. 44(9). 1552–1561. 4 indexed citations
19.
Silins, Ilona, et al.. (2004). Induction of preneoplastic rat liver lesions with an attenuated p53 response by low doses of diethylnitrosamine. Archives of Toxicology. 78(9). 540–8. 5 indexed citations
20.
Silins, Ilona. (2003). Sphingolipids suppress preneoplastic rat hepatocytes in vitro and in vivo. Carcinogenesis. 24(6). 1077–1083. 16 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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