I. Pšikal
- Infectious Diseases top 10%
- Animal Science and Zoology top 5%
- Immunology
- Genetics
- Hepatology top 10%
- Topics
- Viral gastroenteritis research and epidemiology (17 papers)Animal Virus Infections Studies (14 papers)Virus-based gene therapy research (8 papers)
- Partner nations
- CzechiaSwedenUnited States
In The Last Decade
I. Pšikal
24 papers receiving 297 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 161
- Animal Science and Zoology 146
- Immunology 74
- Genetics 63
- Hepatology 56
Countries citing papers authored by I. Pšikal
This map shows the geographic impact of I. Pšikal'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 I. Pšikal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Pšikal more than expected).
Fields of papers citing papers by I. Pšikal
This network shows the impact of papers produced by I. Pšikal. 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 I. Pšikal. The network helps show where I. Pšikal may publish in the future.
Co-authorship network of co-authors of I. Pšikal
This figure shows the co-authorship network connecting the top 25 collaborators of I. Pšikal. A scholar is included among the top collaborators of I. Pšikal 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 I. Pšikal. I. Pšikal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 38 | |
| 8 | 14 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 75 | |
| 13 | Demonstration of bovine respiratory syncytial virus RNA in peripheral blood leukocytes of naturally infected cattle. | 7 |
| 14 | Porcine reproductive and respiratory syndrome virus (PRRSV): characteristics of RT-PCR products and sequence analysis of the open reading frame 7. | 1 |
| 15 | 7 | |
| 16 | Isolation and identification of porcine reproductive and respiratory syndrome virus in cell cultures. | 21 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | [Cell-mediated immunity in calves immunized against or infected with the bovine rhinotracheitis virus]. | 0 |
| 20 | [Phagocytic activity of blood leukocytes in calves from birth to 3 months of age]. | 2 |
About I. Pšikal
I. Pšikal is a scholar working on Animal Science and Zoology, Infectious Diseases and Small Animals, having authored 25 papers that have together received 312 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (14 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Animal Science and Zoology (146 citations), Infectious Diseases (161 citations) and Hepatology (56 citations). I. Pšikal has collaborated with scholars based in Czechia, Sweden and United States. Frequent co-authors include Tomáš Veselý, L. Rodák, B. Šmíd, Petr Králík, I. Pavlík, Frederik Widén, L. Valíček, Oldřích Benada, Peter Šebo and Ladislav Bumba. Their work appears in journals such as PLoS ONE, Scientific Reports and Analytical and Bioanalytical Chemistry.
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.