Pascal Lehwark
Impact in
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- Plant Diversity and Evolution
- Plant and animal studies
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- Plant and Fungal Species Descriptions
- Photosynthetic Processes and Mechanisms
- Natural product bioactivities and synthesis
Papers in
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- Genomics and Phylogenetic Studies 2
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 1
- Identification and Quantification in Food 1
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- Music Technology and Sound Studies 2
- Co-authors
- Stephan Greiner (3 shared papers)Ralph Bock (2 shared papers)Michael Tillich (3 shared papers)Axel Fischer (1 shared paper)Brian R. Morton (1 shared paper)Uwe G. Maier (1 shared paper)Christian Schmitz‐Linneweber (1 shared paper)Ute Armbruster (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Molecular Biology and Evolution (1 paper)Genomics (1 paper)Studies in classification, data analysis, and knowledge organization (1 paper)
In The Last Decade
Pascal Lehwark
6 papers receiving 4.0k citations
Pascal Lehwark's Hit Papers
Peers
Comparison fields: 5 of 91
- Ecology, Evolution, Behavior and Systematics 1.2k
- Molecular Biology 3.1k
- Horticulture 31
- Plant Science 1.0k
- Cell Biology 390
Countries citing papers authored by Pascal Lehwark
This map shows the geographic impact of Pascal Lehwark'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 Pascal Lehwark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lehwark more than expected).
Fields of papers citing papers by Pascal Lehwark
This network shows the impact of papers produced by Pascal Lehwark. 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 Pascal Lehwark. The network helps show where Pascal Lehwark may publish in the future.
Co-authors
The 15 scholars most cited alongside Pascal Lehwark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GeSeq – versatile and accurate annotation of organelle genomes Hit paper breakdown → | 2017 | 2232 |
| 2 | OrganellarGenomeDRAW (OGDRAW) version 1.3.1: expanded toolkit for the graphical visualization of organellar genomes Hit paper breakdown → | 2019 | 1513 |
| 3 | 2006 | 113 | |
| 4 | 2018 | 103 | |
| 5 | 2009 | 98 | |
| 6 | 2008 | 16 | |
| 7 | 2019 | 0 |
About Pascal Lehwark
Pascal Lehwark is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Genetics, having authored 7 papers that have together received 4.1k indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Music Technology and Sound Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Genetic diversity and population structure (2 papers), RNA and protein synthesis mechanisms (1 paper), Identification and Quantification in Food (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.2k citations), Molecular Biology (3.1k citations), Horticulture (31 citations), Plant Science (1.0k citations) and Cell Biology (390 citations). Pascal Lehwark has collaborated with scholars based in Germany, France and Australia. Frequent co-authors include Stephan Greiner, Ralph Bock, Michael Tillich, Axel Fischer, Brian R. Morton, Uwe G. Maier, Christian Schmitz‐Linneweber, Ute Armbruster, Dario Leister and Christiane Kupsch. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Molecular Biology and Evolution, Genomics and Studies in classification, data analysis, and knowledge organization.
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.