Larisa Soldatova
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- Scientific Computing and Data Management 9
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 24
- Machine Learning and Data Classification 4
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- Computational Drug Discovery Methods 8
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 38
- Bioinformatics and Genomic Networks 12
- Genetics, Bioinformatics, and Biomedical Research 11
- Microbial Metabolic Engineering and Bioproduction 5
- Biophysics top 5%
- Co-authors
- Ross D. KingAmanda ClareAndrew C. SparkesWayne AubreyMaria LiakataMichael J. YoungStephen G. OliverJem J. Rowland
- Cited by
- Information Systems and ManagementArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Journal of Biomedical Semantics (9 papers)Journal of The Royal Society Interface (5 papers)Bioinformatics (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Larisa Soldatova
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 170
- Information Systems and Management 218
- Artificial Intelligence 637
- Computational Theory and Mathematics 212
- Molecular Biology 861
- Biophysics 57
Countries citing papers authored by Larisa Soldatova
This map shows the geographic impact of Larisa Soldatova'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 Larisa Soldatova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larisa Soldatova more than expected).
Fields of papers citing papers by Larisa Soldatova
This network shows the impact of papers produced by Larisa Soldatova. 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 Larisa Soldatova. The network helps show where Larisa Soldatova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Larisa Soldatova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 1 | |
| 8 | An Ontology for Clinical Laboratory Standard Operating Procedures. | 2017 | 1 |
| 9 | 2017 | 60 | |
| 10 | Representing bioinformatics datatypes using the OntoDT ontology. | 2015 | 1 |
| 11 | 2015 | 0 | |
| 12 | 2013 | 25 | |
| 13 | 2013 | 3 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 51 | |
| 16 | 2011 | 17 | |
| 17 | Collaborative meta-learning | 2010 | 1 |
| 18 | 2010 | 3 | |
| 19 | 2010 | 216 | |
| 20 | 2007 | 7 |
About Larisa Soldatova
Larisa Soldatova is a scholar working on Information Systems and Management, Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics and Biophysics, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (24 papers), Bioinformatics and Genomic Networks (12 papers), Genetics, Bioinformatics, and Biomedical Research (11 papers), Scientific Computing and Data Management (9 papers), Computational Drug Discovery Methods (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Information Systems and Management (218 citations), Artificial Intelligence (637 citations), Computational Theory and Mathematics (212 citations), Molecular Biology (861 citations) and Biophysics (57 citations). Larisa Soldatova has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Ross D. King, Amanda Clare, Andrew C. Sparkes, Wayne Aubrey, Maria Liakata, Michael J. Young, Stephen G. Oliver, Jem J. Rowland, Panče Panov and Sašo Džeroski. Their work appears in journals such as Journal of Biomedical Semantics, Journal of The Royal Society Interface, Bioinformatics, Machine Learning and Nature Biotechnology.
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.