Daniel Maresch
- Biotechnology top 0.5%
- Transgenic Plants and Applications 23
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 22
- Viral Infectious Diseases and Gene Expression in Insects 9
- Protein purification and stability 5
- Plant tissue culture and regeneration 5
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins 9
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- Monoclonal and Polyclonal Antibodies Research 16
- Plant Science top 10%
- Enzyme-mediated dye degradation 6
- Co-authors
- Friedrich AltmannRichard StrasserOliver SpadiutChristoph HerwigStanimira KrastevaHerta SteinkellnerChristian ObingerLukas Mach
- Journals
- Frontiers in Plant Science (5 papers)Glycobiology (5 papers)Plant Biotechnology Journal (4 papers)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Daniel Maresch
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Biotechnology 566
- Molecular Biology 1.2k
- Immunology 348
- Radiology, Nuclear Medicine and Imaging 255
- Plant Science 294
Countries citing papers authored by Daniel Maresch
This map shows the geographic impact of Daniel Maresch'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 Daniel Maresch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Maresch more than expected).
Fields of papers citing papers by Daniel Maresch
This network shows the impact of papers produced by Daniel Maresch. 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 Daniel Maresch. The network helps show where Daniel Maresch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Maresch, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 42 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 20 | |
| 15 | 2016 | 22 | |
| 16 | 2016 | 56 | |
| 17 | 2015 | 36 | |
| 18 | 2015 | 12 | |
| 19 | 2014 | 48 | |
| 20 | 2014 | 20 |
About Daniel Maresch
Daniel Maresch is a scholar working on Biotechnology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Periodontics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (23 papers), Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Toxin Mechanisms and Immunotoxins (9 papers), Enzyme-mediated dye degradation (6 papers), Protein purification and stability (5 papers) and Plant tissue culture and regeneration (5 papers). The work is most often cited by research in Biotechnology (566 citations), Molecular Biology (1.2k citations), Immunology (348 citations), Radiology, Nuclear Medicine and Imaging (255 citations) and Plant Science (294 citations). Daniel Maresch has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Friedrich Altmann, Richard Strasser, Oliver Spadiut, Christoph Herwig, Stanimira Krasteva, Herta Steinkellner, Christian Obinger, Lukas Mach, Clemens Grünwald‐Gruber and Ulrike Vavra. Their work appears in journals such as Frontiers in Plant Science, Glycobiology, Plant Biotechnology Journal, Biotechnology Journal and Journal of Biological 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.