Lukas Mach
- Biotechnology top 0.1%
- Transgenic Plants and Applications 29
- Enzyme Production and Characterization 13
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research 24
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins 11
- Plant Science top 2%
- Polysaccharides and Plant Cell Walls 12
- Cell Biology top 2%
- Cellular transport and secretion 14
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- Protease and Inhibitor Mechanisms 12
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- Carbohydrate Chemistry and Synthesis 12
- Co-authors
- Josef GlösslRichard StrasserFriedrich AltmannHerta SteinkellnerJohannes StadlmannJohn S. MortMartin PabstJennifer Schoberer
- Journals
- Journal of Biological Chemistry (9 papers)Biochemical Journal (7 papers)Biological Chemistry (4 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Lukas Mach
87 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 111
- Biotechnology 1.7k
- Molecular Biology 3.1k
- Immunology 865
- Plant Science 1.3k
- Cell Biology 477
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 103 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 42 | |
| 12 | 2016 | 79 | |
| 13 | 2016 | 22 | |
| 14 | 2015 | 36 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 56 | |
| 17 | 2011 | 69 | |
| 18 | 2008 | 414 | |
| 19 | 2008 | 18 | |
| 20 | 2008 | 54 |
About Lukas Mach
Lukas Mach is a scholar working on Biotechnology, Cell Biology, Molecular Biology, Cancer Research and Immunology, having authored 87 papers that have together received 4.6k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (29 papers), Glycosylation and Glycoproteins Research (24 papers), Cellular transport and secretion (14 papers), Enzyme Production and Characterization (13 papers), Protease and Inhibitor Mechanisms (12 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 (1.7k citations), Molecular Biology (3.1k citations), Immunology (865 citations), Plant Science (1.3k citations) and Cell Biology (477 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, Biological Chemistry, Biotechnology Journal and Plant 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.