Igor Šplı́chal
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 14
- Probiotics and Fermented Foods 14
- Immunology top 10%
- Immune Response and Inflammation 21
- T-cell and B-cell Immunology 8
- Endocrinology top 5%
- Escherichia coli research studies 8
- Animal Science and Zoology top 5%
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 10
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- Gut microbiota and health 15
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- Infant Nutrition and Health 11
- Co-authors
- I TrebichavskýAlla Šplı́chalováV. RadaZ ŘehákováEva VlkováMarek ŠinkoraBožena CukrowskáHelena Tlaskalová‐Hogenová
- Cited by
- Food ScienceImmunologyEndocrinology
In The Last Decade
Igor Šplı́chal
64 papers receiving 881 citations
Peers
Comparison fields: 5 of 93
- Food Science 305
- Immunology 314
- Endocrinology 75
- Animal Science and Zoology 139
- Infectious Diseases 186
Countries citing papers authored by Igor Šplı́chal
This map shows the geographic impact of Igor Šplı́chal'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 Igor Šplı́chal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Šplı́chal more than expected).
Fields of papers citing papers by Igor Šplı́chal
This network shows the impact of papers produced by Igor Šplı́chal. 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 Igor Šplı́chal. The network helps show where Igor Šplı́chal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Igor Šplı́chal, 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 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 10 | |
| 5 | 2014 | 3 | |
| 6 | 2014 | 5 | |
| 7 | 2013 | 13 | |
| 8 | Development of allele-specific primer PCR for a swine TLR2 SNP (C406G→P136A) and comparison of the frequency in pigs between Japan and the Czech Republic | 2012 | 1 |
| 9 | 2012 | 3 | |
| 10 | 2012 | 16 | |
| 11 | 2009 | 28 | |
| 12 | 2006 | 16 | |
| 13 | 2004 | 22 | |
| 14 | 2002 | 11 | |
| 15 | 2002 | 10 | |
| 16 | 2001 | 23 | |
| 17 | 1997 | 1 | |
| 18 | 1995 | 3 | |
| 19 | 1995 | 8 | |
| 20 | 1994 | 17 |
About Igor Šplı́chal
Igor Šplı́chal is a scholar working on Endocrinology, Food Science, Immunology, Microbiology and Small Animals, having authored 64 papers that have together received 910 indexed citations. Recurring topics across this work include Immune Response and Inflammation (21 papers), Gut microbiota and health (15 papers), Salmonella and Campylobacter epidemiology (14 papers), Probiotics and Fermented Foods (14 papers), Infant Nutrition and Health (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Escherichia coli research studies (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Food Science (305 citations), Immunology (314 citations), Endocrinology (75 citations), Animal Science and Zoology (139 citations) and Infectious Diseases (186 citations). Igor Šplı́chal has collaborated with scholars based in Czechia, Japan and France. Frequent co-authors include I Trebichavský, Alla Šplı́chalová, V. Rada, Z Řeháková, Eva Vlková, Marek Šinkora, Božena Cukrowská, Helena Tlaskalová‐Hogenová, J Šinkora and L. Mandel. Their work appears in journals such as Immunology, Veterinary Immunology and Immunopathology, Infection and Immunity, Immunobiology and Clinical & Experimental Immunology.
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.