Jan Provazník
Impact in
-
- Neurobiology and Insect Physiology Research
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- Extracellular vesicles in disease 4
- Genomics and Phylogenetic Studies 3
- Genetics 6
- Insect and Arachnid Ecology and Behavior 5
- Co-authors
- David Doležel (8 shared papers)Vlastimil Smýkal (3 shared papers)Vladimı́r Beneš (13 shared papers)Magdaléna Hodková (2 shared papers)Margot Zöller (5 shared papers)Thilo Hackert (5 shared papers)Adam Bajgar (1 shared paper)Marek Jindra (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Biology and Evolution (2 papers)GigaScience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Insect Biochemistry and Molecular Biology (2 papers)
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Jan Provazník
31 papers receiving 963 citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 281
- Endocrine and Autonomic Systems 86
- Insect Science 170
- Aging 23
- Parasitology 69
Countries citing papers authored by Jan Provazník
This map shows the geographic impact of Jan Provazník'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 Provazník with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Provazník more than expected).
Fields of papers citing papers by Jan Provazník
This network shows the impact of papers produced by Jan Provazník. 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 Provazník. The network helps show where Jan Provazník may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Provazník, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 159 | |
| 2 | 2020 | 101 | |
| 3 | 2016 | 86 | |
| 4 | 2016 | 78 | |
| 5 | 2015 | 66 | |
| 6 | 2020 | 55 | |
| 7 | 2018 | 50 | |
| 8 | 2019 | 42 | |
| 9 | 2021 | 36 | |
| 10 | 2019 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2016 | 29 | |
| 13 | 2022 | 29 | |
| 14 | 2019 | 23 | |
| 15 | 2019 | 23 | |
| 16 | 2020 | 20 | |
| 17 | 2023 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 10 |
About Jan Provazník
Jan Provazník is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 967 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers), Neurobiology and Insect Physiology Research (4 papers), Hemiptera Insect Studies (4 papers), Extracellular vesicles in disease (4 papers), Cancer-related molecular mechanisms research (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (281 citations), Endocrine and Autonomic Systems (86 citations), Insect Science (170 citations), Aging (23 citations) and Parasitology (69 citations). Jan Provazník has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include David Doležel, Vlastimil Smýkal, Vladimı́r Beneš, Magdaléna Hodková, Margot Zöller, Thilo Hackert, Adam Bajgar, Marek Jindra, Nayara Azevedo and Keiko Takaki. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, GigaScience, Proceedings of the National Academy of Sciences and Insect Biochemistry and Molecular 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.