Daniel Maticzka
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
- RNA regulation and disease
Papers in
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
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- RNA Research and Splicing 12
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 8
- RNA regulation and disease 2
- Co-authors
- Rolf BackofenSita J. Langeİbrahim IlikAsifa AkhtarTuğçe AktaşFabrizio CostaVivek BhardwajGerhard Mittler
- Journals
- Nucleic Acids Research (3 papers)Nature Communications (2 papers)Genes & Development (1 paper)Scientific Reports (1 paper)RNA Biology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Maticzka
14 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Cancer Research 462
- Molecular Biology 1.1k
- Endocrinology 33
- Aging 8
- Business and International Management 6
Countries citing papers authored by Daniel Maticzka
This map shows the geographic impact of Daniel Maticzka'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 Maticzka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Maticzka more than expected).
Fields of papers citing papers by Daniel Maticzka
This network shows the impact of papers produced by Daniel Maticzka. 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 Maticzka. The network helps show where Daniel Maticzka may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Maticzka, 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 | 2023 | 0 | |
| 2 | 2020 | 8 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 14 | |
| 5 | 2018 | 57 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 19 | |
| 8 | 2017 | 21 | |
| 9 | DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome Hit paper breakdown → | 2017 | 422 |
| 10 | 2015 | 11 | |
| 11 | 2014 | 203 | |
| 12 | 2013 | 133 | |
| 13 | 2012 | 95 | |
| 14 | 2012 | 109 | |
| 15 | 2008 | 10 |
About Daniel Maticzka
Daniel Maticzka is a scholar working on Cancer Research, Molecular Biology, Immunology, Ecology and Genetics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (8 papers), Cancer-related molecular mechanisms research (3 papers), RNA regulation and disease (2 papers), MicroRNA in disease regulation (2 papers), interferon and immune responses (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cancer Research (462 citations), Molecular Biology (1.1k citations), Endocrinology (33 citations), Aging (8 citations) and Business and International Management (6 citations). Daniel Maticzka has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Rolf Backofen, Sita J. Lange, İbrahim Ilik, Asifa Akhtar, Tuğçe Aktaş, Fabrizio Costa, Vivek Bhardwaj, Gerhard Mittler, Cecília Pessoa Rodrigues and Thomas Manke. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Genes & Development, Scientific Reports and RNA 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.