Daniel Malzl
Impact in
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- Invertebrate Immune Response Mechanisms
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- Glycosylation and Glycoproteins Research
- Studies on Chitinases and Chitosanases
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
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- Glycosylation and Glycoproteins Research 5
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Studies on Chitinases and Chitosanases 3
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- T-cell and B-cell Immunology 2
- Co-authors
- Alba Hykollari (8 shared papers)Iain B. H. Wilson (9 shared papers)Katharina Paschinger (9 shared papers)Christopher M. West (1 shared paper)Ursula E. Schoeberl (4 shared papers)Rushad Pavri (5 shared papers)Tobias Neumann (2 shared papers)Martin Dragosits (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)Molecular & Cellular Proteomics (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (2 papers)ACS Chemical Biology (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Daniel Malzl
18 papers receiving 272 citations
Peers
Comparison fields: 5 of 71
- Immunology 67
- Molecular Biology 180
- Parasitology 16
- Aging 4
- Spectroscopy 24
Countries citing papers authored by Daniel Malzl
This map shows the geographic impact of Daniel Malzl'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 Malzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Malzl more than expected).
Fields of papers citing papers by Daniel Malzl
This network shows the impact of papers produced by Daniel Malzl. 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 Malzl. The network helps show where Daniel Malzl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Malzl, 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 | 2017 | 50 | |
| 2 | 2023 | 42 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2019 | 18 | |
| 7 | 2025 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Daniel Malzl
Daniel Malzl is a scholar working on Molecular Biology, Immunology, Epidemiology, Physiology and Genetics, having authored 19 papers that have together received 272 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Studies on Chitinases and Chitosanases (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Trypanosoma species research and implications (2 papers), Polysaccharides and Plant Cell Walls (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (67 citations), Molecular Biology (180 citations), Parasitology (16 citations), Aging (4 citations) and Spectroscopy (24 citations). Daniel Malzl has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Alba Hykollari, Iain B. H. Wilson, Katharina Paschinger, Christopher M. West, Ursula E. Schoeberl, Rushad Pavri, Tobias Neumann, Martin Dragosits, Dieter Palmberger and Ping Wang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Molecular & Cellular Proteomics, Journal of Biological Chemistry, Molecular Cell and ACS Chemical Biology.
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.