Jan Šmarda
- Molecular Biology top 10%
- Ecology top 5%
- Food Science top 5%
- Oncology top 10%
- Genetics top 10%
- Co-authors
- Petr BenešLuděk StrašákVladimı́r VetterlJiří KomárekDavid ŠmajsLucia KnopfováKarel SoučekJana Chumchalová
- Topics
- Escherichia coli research studies (20 papers)Bacterial Genetics and Biotechnology (20 papers)Probiotics and Fermented Foods (18 papers)
- Cited by
- EndocrinologyPhysiologyBiophysics
- Partner nations
- CzechiaUnited StatesSwitzerland
In The Last Decade
Jan Šmarda
155 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.1k
- Ecology 419
- Food Science 290
- Oncology 282
- Genetics 246
Countries citing papers authored by Jan Šmarda
This map shows the geographic impact of Jan Šmarda'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 Jan Šmarda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Šmarda more than expected).
Fields of papers citing papers by Jan Šmarda
This network shows the impact of papers produced by Jan Šmarda. 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 Jan Šmarda. The network helps show where Jan Šmarda may publish in the future.
Co-authorship network of co-authors of Jan Šmarda
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Šmarda. A scholar is included among the top collaborators of Jan Šmarda 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 Jan Šmarda. Jan Šmarda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 34 | |
| 7 | 25 | |
| 8 | Inhibition of topoisomerase IIa: Novel function ofwedelolactone | 1 |
| 9 | 57 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 21 | |
| 14 | Comparison of the low-frequency magnetic field effects onbacteria Escherichia coli, Leclercia adecarboxylata andStaphylococcus aureus | 1 |
| 15 | 7 | |
| 16 | 15 | |
| 17 | Detection of minimal residual disease in acute myeloid leukemia | 1 |
| 18 | Fine structure of S-layers | 10 |
| 19 | Twenty-five years on experience on S-layers of cyanobacteria:occurrence and patterns. | 1 |
| 20 | 2 |
About Jan Šmarda
Jan Šmarda is a scholar working on Endocrinology, Molecular Biology and Ecology, having authored 162 papers that have together received 2.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (20 papers), Bacterial Genetics and Biotechnology (20 papers) and Probiotics and Fermented Foods (18 papers). The work is most often cited by research in Endocrinology (184 citations), Physiology (158 citations) and Biophysics (130 citations). Jan Šmarda has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include Petr Beneš, Luděk Strašák, Vladimı́r Vetterl, Jiří Komárek, David Šmajs, Lucia Knopfová, Karel Souček, Jana Chumchalová, Lukáš Fojt and Otakar Strunecký. Their work appears in journals such as Nature, PLoS ONE and Molecular and Cellular Biology.
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.