Martin Kváč
- Parasitology top 0.05%
- Parasitic Infections and Diagnostics 154
- Toxoplasma gondii Research Studies 14
- Infectious Diseases top 0.5%
- Amoebic Infections and Treatments 56
- Dermatological diseases and infestations 22
- Viral gastroenteritis research and epidemiology 12
- Animal Science and Zoology top 0.5%
- Coccidia and coccidiosis research 38
- Small Animals top 0.5%
- Helminth infection and control 23
- Endocrinology top 5%
-
- Parasitic infections in humans and animals 13
- Journals
- Veterinary Parasitology (27 papers)Parasitology Research (15 papers)Folia Parasitologica (11 papers)
- Partner nations
- CzechiaUnited StatesSlovakia
In The Last Decade
Martin Kváč
155 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 79
- Parasitology 3.8k
- Infectious Diseases 2.3k
- Animal Science and Zoology 648
- Small Animals 456
- Endocrinology 107
Countries citing papers authored by Martin Kváč
This map shows the geographic impact of Martin Kváč'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 Martin Kváč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kváč more than expected).
Fields of papers citing papers by Martin Kváč
This network shows the impact of papers produced by Martin Kváč. 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 Martin Kváč. The network helps show where Martin Kváč may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Kváč, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 6 | |
| 10 | Encephalitozoon cuniculi Genotype II Concentrates in Inflammation Foci | 2020 | 1 |
| 11 | 2020 | 20 | |
| 12 | 2020 | 29 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 10 | |
| 16 | 2015 | 11 | |
| 17 | Eighteen-carbon fatty acids in milk fat of Czech Fleckvieh and Holstein cows following feeding with fresh lucerne (Medicago sativa L.)* | 2014 | 7 |
| 18 | 2014 | 8 | |
| 19 | 2009 | 35 | |
| 20 | 2007 | 8 |
About Martin Kváč
Martin Kváč is a scholar working on Parasitology, Infectious Diseases and Animal Science and Zoology, having authored 161 papers that have together received 4.0k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (154 papers), Amoebic Infections and Treatments (56 papers), Coccidia and coccidiosis research (38 papers), Helminth infection and control (23 papers), Dermatological diseases and infestations (22 papers), Toxoplasma gondii Research Studies (14 papers), Parasitic infections in humans and animals (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). The work is most often cited by research in Parasitology (3.8k citations), Infectious Diseases (2.3k citations) and Animal Science and Zoology (648 citations). Martin Kváč has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include Bohumil Sak, Dana Květoňová, John McEvoy, J Vítovec, Lenka Hlásková, M. Rost, Lihua Xiao, Oleg Ditrich, Nikola Holubová and Yaoyu Feng. Their work appears in journals such as Veterinary Parasitology, Parasitology Research, Folia Parasitologica, Experimental Parasitology and Emerging infectious diseases.
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.