Andrej Kastrin
- Parasitology top 5%
- Vector-borne infectious diseases 15
- Equine top 5%
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- Computational Drug Discovery Methods 6
- Obstetrics and Gynecology top 10%
- Psychiatry and Mental health top 10%
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- Biomedical Text Mining and Ontologies 10
- Bioinformatics and Genomic Networks 9
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- Viral Infections and Vectors 9
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- Mosquito-borne diseases and control 7
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- Complex Network Analysis Techniques 5
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- Semantic Web and Ontologies 5
- Co-authors
- Dimitar HristovskiBorut PeterlinBrane LeskošekIgor MedicaPolonca FerkThomas C. RindfleschHalil KilicogluMarcelo Fiszman
- Journals
- PLoS ONE (4 papers)Emerging infectious diseases (3 papers)Methods of Information in Medicine (2 papers)
- Partner nations
- SloveniaUnited StatesSwitzerland
In The Last Decade
Andrej Kastrin
40 papers receiving 901 citations
Peers
Comparison fields: 5 of 134
- Parasitology 134
- Equine 20
- Computational Theory and Mathematics 162
- Obstetrics and Gynecology 66
- Psychiatry and Mental health 127
Countries citing papers authored by Andrej Kastrin
This map shows the geographic impact of Andrej Kastrin'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 Andrej Kastrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Kastrin more than expected).
Fields of papers citing papers by Andrej Kastrin
This network shows the impact of papers produced by Andrej Kastrin. 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 Andrej Kastrin. The network helps show where Andrej Kastrin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrej Kastrin, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 109 | |
| 12 | 2017 | 48 | |
| 13 | Implementing Semantics-Based Cross-domain Collaboration Recommendation in Biomedicine with a Graph Database | 2016 | 2 |
| 14 | 2016 | 12 | |
| 15 | 2015 | 42 | |
| 16 | 2014 | 17 | |
| 17 | 2011 | 186 | |
| 18 | 2010 | 12 | |
| 19 | 2009 | 21 | |
| 20 | 2007 | 40 |
About Andrej Kastrin
Andrej Kastrin is a scholar working on Parasitology, Infectious Diseases and Statistical and Nonlinear Physics, having authored 46 papers that have together received 939 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Biomedical Text Mining and Ontologies (10 papers), Viral Infections and Vectors (9 papers), Bioinformatics and Genomic Networks (9 papers), Mosquito-borne diseases and control (7 papers), Computational Drug Discovery Methods (6 papers), Complex Network Analysis Techniques (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Parasitology (134 citations), Equine (20 citations) and Computational Theory and Mathematics (162 citations). Andrej Kastrin has collaborated with scholars based in Slovenia, United States and Switzerland. Frequent co-authors include Dimitar Hristovski, Borut Peterlin, Brane Leskošek, Igor Medica, Polonca Ferk, Thomas C. Rindflesch, Halil Kilicoglu, Marcelo Fiszman, Rui Zhang and Franc Strle. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, Methods of Information in Medicine, Ticks and Tick-borne Diseases and Journal of Clinical Medicine.
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.