Aniolas Sruoga
- Parasitology top 1%
- Genetics top 5%
- Ecology top 10%
- Virology top 5%
- Molecular Biology
- Co-authors
- Dalius ButkauskasLiuda KutkienėPetras PrakasSaulius ŠvažasMečislovas ŽalakevičiusAlgimantas PaulauskasRimgaudas TreinysWann‐Nian Tzeng
- Topics
- Genetic diversity and population structure (17 papers)Toxoplasma gondii Research Studies (16 papers)Yersinia bacterium, plague, ectoparasites research (12 papers)
- Cited by
- ParasitologyVirologyGenetics
In The Last Decade
Aniolas Sruoga
46 papers receiving 672 citations
Peers
Comparison fields: 5 of 55
- Parasitology 463
- Genetics 360
- Ecology 203
- Virology 102
- Molecular Biology 99
Countries citing papers authored by Aniolas Sruoga
This map shows the geographic impact of Aniolas Sruoga'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 Aniolas Sruoga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aniolas Sruoga more than expected).
Fields of papers citing papers by Aniolas Sruoga
This network shows the impact of papers produced by Aniolas Sruoga. 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 Aniolas Sruoga. The network helps show where Aniolas Sruoga may publish in the future.
Co-authorship network of co-authors of Aniolas Sruoga
This figure shows the co-authorship network connecting the top 25 collaborators of Aniolas Sruoga. A scholar is included among the top collaborators of Aniolas Sruoga 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 Aniolas Sruoga. Aniolas Sruoga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 22 | |
| 3 | 25 | |
| 4 | The role of great cormorant (Phalacrocorax carbo sinensis) for fish stock and dispersal of helminthes parasites in the Curonian Lagoon area. | 18 |
| 5 | 33 | |
| 6 | 21 | |
| 7 | Phenetic studies of the species Talpa europaea L. in Lithuania. | 1 |
| 8 | 77 | |
| 9 | 22 | |
| 10 | 7 | |
| 11 | 47 | |
| 12 | 19 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Genetic Study of Variability and Similarity in Three Different Poultry Species | 1 |
| 19 | 1 | |
| 20 | Possible use of DNA fragments obtained by amplification with random primers for investigation of the genetic variety of various bird species from the order Anseriformes. | 2 |
About Aniolas Sruoga
Aniolas Sruoga is a scholar working on Parasitology, Genetics and Animal Science and Zoology, having authored 49 papers that have together received 701 indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Toxoplasma gondii Research Studies (16 papers) and Yersinia bacterium, plague, ectoparasites research (12 papers). The work is most often cited by research in Parasitology (463 citations), Virology (102 citations) and Genetics (360 citations). Aniolas Sruoga has collaborated with scholars based in Lithuania, Russia and Latvia. Frequent co-authors include Dalius Butkauskas, Liuda Kutkienė, Petras Prakas, Saulius Švažas, Mečislovas Žalakevičius, Algimantas Paulauskas, Rimgaudas Treinys, Wann‐Nian Tzeng, Mindaugas Dagys and Marja Isomursu. Their work appears in journals such as Parasitology, Journal of Parasitology and Parasitology Research.
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.