Nataliya Sklyar
- Molecular Biology
- Information Systems and Management top 5%
- Information Systems top 10%
- Artificial Intelligence
- Spectroscopy
- Co-authors
- Marco BrandiziChris TaylorPhilippe Rocca‐SerraSusanna‐Assunta SansoneWeida TongDawn FieldSteffen NeumannStephen Harris
- Topics
- Biomedical Text Mining and Ontologies (3 papers)Bioinformatics and Genomic Networks (3 papers)Metabolomics and Mass Spectrometry Studies (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Nataliya Sklyar
3 papers receiving 228 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 194
- Information Systems and Management 75
- Information Systems 54
- Artificial Intelligence 40
- Spectroscopy 21
Countries citing papers authored by Nataliya Sklyar
This map shows the geographic impact of Nataliya Sklyar'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 Nataliya Sklyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataliya Sklyar more than expected).
Fields of papers citing papers by Nataliya Sklyar
This network shows the impact of papers produced by Nataliya Sklyar. 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 Nataliya Sklyar. The network helps show where Nataliya Sklyar may publish in the future.
Co-authorship network of co-authors of Nataliya Sklyar
This figure shows the co-authorship network connecting the top 25 collaborators of Nataliya Sklyar. A scholar is included among the top collaborators of Nataliya Sklyar 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 Nataliya Sklyar. Nataliya Sklyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 171 | |
| 2 | 58 | |
| 3 | Survey of existing bio-ontologies | 6 |
About Nataliya Sklyar
Nataliya Sklyar is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 235 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Information Systems and Management (75 citations), Molecular Biology (194 citations) and Biophysics (14 citations). Nataliya Sklyar has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Marco Brandizi, Chris Taylor, Philippe Rocca‐Serra, Susanna‐Assunta Sansone, Weida Tong, Dawn Field, Steffen Neumann, Stephen Harris, Oliver Hofmann and Eamonn Maguire. Their work appears in journals such as Bioinformatics and OMICS A Journal of Integrative Biology.
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.