Jan Lisec
Impact in
- Plant Science top 0.5%
- Plant Stress Responses and Tolerance
- Genetics and Plant Breeding
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Metabolomics and Mass Spectrometry Studies 24
- Plant Gene Expression Analysis 5
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- Genetics and Plant Breeding 6
- Co-authors
- Lothar Willmitzer (21 shared papers)Alisdair R. Fernie (5 shared papers)Joachim Kopka (2 shared papers)Nicolas Schauer (1 shared paper)Thomas Altmann (12 shared papers)Joachim Selbig (10 shared papers)Ronan Sulpice (4 shared papers)Albrecht E. Melchinger (4 shared papers)
In The Last Decade
Jan Lisec
75 papers receiving 5.4k citations
Jan Lisec's Hit Papers
Peers
Comparison fields: 5 of 138
- Plant Science 3.1k
- Genetics 1.0k
- Molecular Biology 2.5k
- Biochemistry 235
- Biochemistry 137
Countries citing papers authored by Jan Lisec
This map shows the geographic impact of Jan Lisec'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 Lisec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Lisec more than expected).
Fields of papers citing papers by Jan Lisec
This network shows the impact of papers produced by Jan Lisec. 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 Lisec. The network helps show where Jan Lisec may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Lisec, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gas chromatography mass spectrometry–based metabolite profiling in plants Hit paper breakdown → | 2006 | 1702 |
| 2 | Genomic and metabolic prediction of complex heterotic traits in hybrid maize Hit paper breakdown → | 2012 | 444 |
| 3 | 2007 | 302 | |
| 4 | 2019 | 281 | |
| 5 | 2012 | 274 | |
| 6 | 2015 | 258 | |
| 7 | 2011 | 200 | |
| 8 | 2009 | 178 | |
| 9 | 2007 | 168 | |
| 10 | 2011 | 122 | |
| 11 | 2012 | 107 | |
| 12 | 2007 | 92 | |
| 13 | 2008 | 91 | |
| 14 | 2012 | 86 | |
| 15 | 2008 | 85 | |
| 16 | 2009 | 80 | |
| 17 | 2009 | 72 | |
| 18 | 2011 | 68 | |
| 19 | 2007 | 56 | |
| 20 | 2021 | 49 |
About Jan Lisec
Jan Lisec is a scholar working on Molecular Biology, Plant Science, Genetics, Spectroscopy and Cancer Research, having authored 77 papers that have together received 5.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (24 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Analytical Chemistry and Chromatography (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Genetics and Plant Breeding (6 papers), Genetic and phenotypic traits in livestock (5 papers), Plant Gene Expression Analysis (5 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Plant Science (3.1k citations), Genetics (1.0k citations), Molecular Biology (2.5k citations), Biochemistry (235 citations) and Biochemistry (137 citations). Jan Lisec has collaborated with scholars based in Germany, Pakistan and Israel. Frequent co-authors include Lothar Willmitzer, Alisdair R. Fernie, Joachim Kopka, Nicolas Schauer, Thomas Altmann, Joachim Selbig, Ronan Sulpice, Albrecht E. Melchinger, Rimsha Munir and Nousheen Zaidi. Their work appears in journals such as The Plant Journal, PLoS ONE, Analytical Chemistry, Rapid Communications in Mass Spectrometry and Analytical and Bioanalytical Chemistry.
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.