Daniel Šperling
Impact in
- Small Animals top 5%
- Veterinary medicine and infectious diseases
- Helminth infection and control
- Animal Science and Zoology top 5%
- Coccidia and coccidiosis research
- Animal Nutrition and Physiology
Papers in
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- Veterinary medicine and infectious diseases 10
- Helminth infection and control 6
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- Coccidia and coccidiosis research 9
- Animal Nutrition and Physiology 3
- Co-authors
- David Burch (1 shared paper)Anja Joachim (9 shared papers)Alois Čížek (4 shared papers)J. Smoła (4 shared papers)Barbara Hinney (7 shared papers)Bärbel Ruttkowski (2 shared papers)Bert Devriendt (1 shared paper)Sebastiaan Theuns (1 shared paper)
In The Last Decade
Daniel Šperling
26 papers receiving 257 citations
Peers
Comparison fields: 5 of 58
- Small Animals 128
- Animal Science and Zoology 108
- Parasitology 48
- Molecular Medicine 23
- Microbiology 24
Countries citing papers authored by Daniel Šperling
This map shows the geographic impact of Daniel Šperling'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 Daniel Šperling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Šperling more than expected).
Fields of papers citing papers by Daniel Šperling
This network shows the impact of papers produced by Daniel Šperling. 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 Daniel Šperling. The network helps show where Daniel Šperling may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Šperling, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2011 | 25 | |
| 3 | 2018 | 23 | |
| 4 | 2018 | 21 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Daniel Šperling
Daniel Šperling is a scholar working on Small Animals, Animal Science and Zoology, Parasitology, Infectious Diseases and Endocrinology, having authored 32 papers that have together received 262 indexed citations. Recurring topics across this work include Veterinary medicine and infectious diseases (10 papers), Coccidia and coccidiosis research (9 papers), Parasitic Infections and Diagnostics (6 papers), Helminth infection and control (6 papers), Escherichia coli research studies (4 papers), Microbial infections and disease research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Small Animals (128 citations), Animal Science and Zoology (108 citations), Parasitology (48 citations), Molecular Medicine (23 citations) and Microbiology (24 citations). Daniel Šperling has collaborated with scholars based in France, Czechia and Austria. Frequent co-authors include David Burch, Anja Joachim, Alois Čížek, J. Smoła, Barbara Hinney, Bärbel Ruttkowski, Bert Devriendt, Sebastiaan Theuns, Monika Zouharová and Nicola Palmieri. Their work appears in journals such as Porcine Health Management, Parasites & Vectors, Animals, Veterinary Parasitology Regional Studies and Reports and Frontiers in Microbiology.
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.