Jan Nešvera
Impact in
- Pollution top 2%
- Microbial bioremediation and biosurfactants
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- RNA and protein synthesis mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 28
- RNA and protein synthesis mechanisms 10
- DNA Repair Mechanisms 8
- Genomics and Phylogenetic Studies 6
- Enzyme Catalysis and Immobilization 6
- Genetics 33
- Bacterial Genetics and Biotechnology 33
- Co-authors
- Miroslav Pátek (46 shared papers)Ludmila Martı́nková (5 shared papers)Bronislava Uhnáková (1 shared paper)Vladimı́r Křen (1 shared paper)Lenka Rucká (11 shared papers)Jiří Holátko (9 shared papers)Martin Veselý (4 shared papers)Michal Grulich (2 shared papers)
In The Last Decade
Jan Nešvera
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Pollution 416
- Molecular Biology 1.4k
- Endocrinology 99
- Genetics 473
- Biochemistry 88
Countries citing papers authored by Jan Nešvera
This map shows the geographic impact of Jan Nešvera'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 Nešvera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Nešvera more than expected).
Fields of papers citing papers by Jan Nešvera
This network shows the impact of papers produced by Jan Nešvera. 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 Nešvera. The network helps show where Jan Nešvera may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Nešvera, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 378 | |
| 2 | 2003 | 127 | |
| 3 | 2011 | 100 | |
| 4 | 2005 | 95 | |
| 5 | 2021 | 79 | |
| 6 | 2008 | 77 | |
| 7 | 2011 | 71 | |
| 8 | 2007 | 66 | |
| 9 | 1998 | 66 | |
| 10 | 1999 | 55 | |
| 11 | 2014 | 53 | |
| 12 | 2015 | 52 | |
| 13 | 2007 | 48 | |
| 14 | 2016 | 47 | |
| 15 | 2013 | 44 | |
| 16 | 1997 | 40 | |
| 17 | 2005 | 35 | |
| 18 | 2003 | 31 | |
| 19 | 2012 | 31 | |
| 20 | 2017 | 29 |
About Jan Nešvera
Jan Nešvera is a scholar working on Molecular Biology, Genetics, Pollution, Biomedical Engineering and Endocrinology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (33 papers), Microbial Metabolic Engineering and Bioproduction (28 papers), RNA and protein synthesis mechanisms (10 papers), Biofuel production and bioconversion (10 papers), Microbial bioremediation and biosurfactants (9 papers), DNA Repair Mechanisms (8 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Catalysis and Immobilization (6 papers). The work is most often cited by research in Pollution (416 citations), Molecular Biology (1.4k citations), Endocrinology (99 citations), Genetics (473 citations) and Biochemistry (88 citations). Jan Nešvera has collaborated with scholars based in Czechia, Belarus and Germany. Frequent co-authors include Miroslav Pátek, Ludmila Martı́nková, Bronislava Uhnáková, Vladimı́r Křen, Lenka Rucká, Jiří Holátko, Martin Veselý, Michal Grulich, Veronika Elišáková and Oscar Reyes. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Bacteriology, Journal of Biotechnology, World Journal of Microbiology and Biotechnology and Journal of Industrial Microbiology & Biotechnology.
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.