Lukas Mach
Impact in
- Biotechnology top 0.1%
- Transgenic Plants and Applications
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research
- Plant tissue culture and regeneration
Papers in
-
- Glycosylation and Glycoproteins Research 24
-
- Transgenic Plants and Applications 29
- Enzyme Production and Characterization 13
- Co-authors
- Josef Glössl (24 shared papers)Richard Strasser (29 shared papers)Friedrich Altmann (20 shared papers)Herta Steinkellner (22 shared papers)Johannes Stadlmann (11 shared papers)John S. Mort (6 shared papers)Martin Pabst (4 shared papers)Jennifer Schoberer (6 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Biochemical Journal (7 papers)Plant Biotechnology Journal (4 papers)Biological Chemistry (4 papers)Biotechnology Journal (4 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Lukas Mach
88 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 110
- Biotechnology 1.8k
- Molecular Biology 3.2k
- Immunology 884
- Plant Science 1.4k
- Cancer Research 440
Countries citing papers authored by Lukas Mach
This map shows the geographic impact of Lukas Mach'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 Lukas Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Mach more than expected).
Fields of papers citing papers by Lukas Mach
This network shows the impact of papers produced by Lukas Mach. 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 Lukas Mach. The network helps show where Lukas Mach may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Mach, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 455 | |
| 2 | 2004 | 275 | |
| 3 | 2007 | 188 | |
| 4 | 1992 | 171 | |
| 5 | 1994 | 168 | |
| 6 | 2009 | 154 | |
| 7 | 2009 | 153 | |
| 8 | 2007 | 153 | |
| 9 | 2002 | 138 | |
| 10 | 2007 | 106 | |
| 11 | 2020 | 105 | |
| 12 | 2000 | 99 | |
| 13 | 2017 | 99 | |
| 14 | 1992 | 96 | |
| 15 | 2007 | 96 | |
| 16 | 2006 | 95 | |
| 17 | 2005 | 92 | |
| 18 | 1999 | 87 | |
| 19 | 1992 | 86 | |
| 20 | 2016 | 84 |
About Lukas Mach
Lukas Mach is a scholar working on Molecular Biology, Biotechnology, Plant Science, Cell Biology and Immunology, having authored 88 papers that have together received 4.9k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (29 papers), Glycosylation and Glycoproteins Research (24 papers), Cellular transport and secretion (15 papers), Protease and Inhibitor Mechanisms (13 papers), Enzyme Production and Characterization (13 papers), Carbohydrate Chemistry and Synthesis (12 papers), Polysaccharides and Plant Cell Walls (12 papers) and Toxin Mechanisms and Immunotoxins (11 papers). The work is most often cited by research in Biotechnology (1.8k citations), Molecular Biology (3.2k citations), Immunology (884 citations), Plant Science (1.4k citations) and Cancer Research (440 citations). Lukas Mach has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Josef Glössl, Richard Strasser, Friedrich Altmann, Herta Steinkellner, Johannes Stadlmann, John S. Mort, Martin Pabst, Jennifer Schoberer, Ján Mucha and Jayakumar Singh Bondili. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Plant Biotechnology Journal, Biological Chemistry and Biotechnology Journal.
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.