Andrej Kastrin
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Equine top 5%
Papers in
-
- Biomedical Text Mining and Ontologies 12
- Bioinformatics and Genomic Networks 9
- Parasitology 14
- Vector-borne infectious diseases 14
- Co-authors
- Dimitar Hristovski (16 shared papers)Borut Peterlin (9 shared papers)Thomas C. Rindflesch (11 shared papers)Polonca Ferk (1 shared paper)Brane Leskošek (1 shared paper)Igor Medica (4 shared papers)Halil Kilicoglu (2 shared papers)Rui Zhang (2 shared papers)
- Journals
- PLoS ONE (4 papers)Emerging infectious diseases (3 papers)Journal of Clinical Medicine (2 papers)Ticks and Tick-borne Diseases (2 papers)Infection (2 papers)
- Partner nations
- SloveniaUnited StatesSwitzerland
In The Last Decade
Andrej Kastrin
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 128
- Parasitology 144
- Equine 20
- Computational Theory and Mathematics 162
- Obstetrics and Gynecology 56
- Toxicology 24
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-authors
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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 198 | |
| 2 | 2021 | 139 | |
| 3 | 2018 | 115 | |
| 4 | 2006 | 63 | |
| 5 | 2017 | 52 | |
| 6 | 2015 | 49 | |
| 7 | 2007 | 44 | |
| 8 | 2022 | 30 | |
| 9 | 2016 | 29 | |
| 10 | 2009 | 27 | |
| 11 | 2010 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2009 | 22 | |
| 14 | 2022 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2010 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 2023 | 15 |
About Andrej Kastrin
Andrej Kastrin is a scholar working on Molecular Biology, Parasitology, Artificial Intelligence, Infectious Diseases and Statistical and Nonlinear Physics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (14 papers), Biomedical Text Mining and Ontologies (12 papers), Bioinformatics and Genomic Networks (9 papers), Viral Infections and Vectors (5 papers), Complex Network Analysis Techniques (5 papers), Computational Drug Discovery Methods (4 papers), Mosquito-borne diseases and control (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Parasitology (144 citations), Equine (20 citations), Computational Theory and Mathematics (162 citations), Obstetrics and Gynecology (56 citations) and Toxicology (24 citations). Andrej Kastrin has collaborated with scholars based in Slovenia, United States and Switzerland. Frequent co-authors include Dimitar Hristovski, Borut Peterlin, Thomas C. Rindflesch, Polonca Ferk, Brane Leskošek, Igor Medica, Halil Kilicoglu, Rui Zhang, Marcelo Fiszman and Franc Strle. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, Journal of Clinical Medicine, Ticks and Tick-borne Diseases and Infection.
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.