Zdeněk Pospı́šil
- Microbiology top 5%
- Microbial infections and disease research 9
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 10
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation 5
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 13
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- Influenza Virus Research Studies 10
- Respiratory viral infections research 8
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- Chronic Lymphocytic Leukemia Research 7
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- Viral gastroenteritis research and epidemiology 5
Zdeněk Pospı́šil
65 papers receiving 640 citations
Peers
Comparison fields: 5 of 112
- Microbiology 113
- Agronomy and Crop Science 154
- Hematology 130
- Animal Science and Zoology 108
- Immunology 163
Countries citing papers authored by Zdeněk Pospı́šil
This map shows the geographic impact of Zdeněk Pospı́šil'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 Zdeněk Pospı́šil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zdeněk Pospı́šil more than expected).
Fields of papers citing papers by Zdeněk Pospı́šil
This network shows the impact of papers produced by Zdeněk Pospı́šil. 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 Zdeněk Pospı́šil. The network helps show where Zdeněk Pospı́šil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zdeněk Pospı́šil, 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 | 2023 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2011 | 29 | |
| 4 | New prognostic markers of chronic lymphocytic leukemia in theeveryday hematological practice. A multicenter analysis. | 2009 | 0 |
| 5 | Mathematical Model of Child and Adolescent Growth. ParametersIdentification from Longitudinal Data. | 2009 | 0 |
| 6 | 2009 | 24 | |
| 7 | 2008 | 1 | |
| 8 | 2007 | 15 | |
| 9 | 2006 | 15 | |
| 10 | 2004 | 4 | |
| 11 | 2002 | 4 | |
| 12 | Hyperbolic Transformation and Hyperbolic Difference Systems | 2001 | 2 |
| 13 | 2001 | 47 | |
| 14 | 2001 | 2 | |
| 15 | 2001 | 7 | |
| 16 | [Detection of herpesvirus serum antibodies in red deer (Cervus elaphus) imported into the Czech Republic]. | 1996 | 6 |
| 17 | 1991 | 1 | |
| 18 | 1991 | 8 | |
| 19 | 1983 | 10 | |
| 20 | 1978 | 3 |
About Zdeněk Pospı́šil
Zdeněk Pospı́šil is a scholar working on Microbiology, Animal Science and Zoology and Agronomy and Crop Science, having authored 77 papers that have together received 698 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (10 papers), Microbial infections and disease research (9 papers), Respiratory viral infections research (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Microbiology (113 citations), Agronomy and Crop Science (154 citations) and Hematology (130 citations). Zdeněk Pospı́šil has collaborated with scholars based in Czechia, Myanmar and Vietnam. Frequent co-authors include Jiřı́ Mayer, Michael Doubek, L. Rodák, L. Valíček, Ivan Literák, Martin Černý, Kristien Van Reeth, Ian H. Brown, Jaime Maldonado and Emanuela Foni. Their work appears in journals such as Experimental Hematology, Bone Marrow Transplantation, Journal of Fish Diseases, Experimental and Applied Acarology and PLoS ONE.
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.