Milan Šáňka
- Pollution top 2%
- Health, Toxicology and Mutagenesis top 2%
- Plant Science
- Environmental Engineering top 10%
- Food Science top 10%
- Co-authors
- Jakub HofmanIvan HoloubekJana KlánováKlára KomprdováPavel ČuprJiří ZbíralLadislav DušekJiří Jarkovský
- Topics
- Heavy metals in environment (16 papers)Toxic Organic Pollutants Impact (11 papers)Effects and risks of endocrine disrupting chemicals (7 papers)
In The Last Decade
Milan Šáňka
30 papers receiving 809 citations
Peers
Comparison fields: 5 of 85
- Pollution 507
- Health, Toxicology and Mutagenesis 382
- Plant Science 125
- Environmental Engineering 93
- Food Science 80
Countries citing papers authored by Milan Šáňka
This map shows the geographic impact of Milan Šáňka'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 Milan Šáňka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Šáňka more than expected).
Fields of papers citing papers by Milan Šáňka
This network shows the impact of papers produced by Milan Šáňka. 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 Milan Šáňka. The network helps show where Milan Šáňka may publish in the future.
Co-authorship network of co-authors of Milan Šáňka
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Šáňka. A scholar is included among the top collaborators of Milan Šáňka 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 Milan Šáňka. Milan Šáňka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 214 | |
| 6 | 11 | |
| 7 | 40 | |
| 8 | 93 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | 112 | |
| 12 | 14 | |
| 13 | 33 | |
| 14 | 12 | |
| 15 | 24 | |
| 16 | 25 | |
| 17 | Spatial and temporal trends in persistent organic pollutants soil contamination in the Czech republic | 3 |
| 18 | 2 | |
| 19 | Characterization of Sewage Sludge Amended Soils and Related Crop Plants with Respect to Phytoavailability of Heavy Metals (Cd, Cr, Cu, Ni, Pb, Zn) | 3 |
| 20 | 7 |
About Milan Šáňka
Milan Šáňka is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Radiological and Ultrasound Technology, having authored 30 papers that have together received 831 indexed citations. Recurring topics across this work include Heavy metals in environment (16 papers), Toxic Organic Pollutants Impact (11 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). The work is most often cited by research in Pollution (507 citations), Health, Toxicology and Mutagenesis (382 citations) and Radiological and Ultrasound Technology (43 citations). Milan Šáňka has collaborated with scholars based in Czechia, Germany and Norway. Frequent co-authors include Jakub Hofman, Ivan Holoubek, Jana Klánová, Klára Komprdová, Pavel Čupr, Jiří Zbíral, Ladislav Dušek, Jiří Jarkovský, Jana Vašíčková and Lucia Škulcová. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.
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.