Matthias Hackl
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in
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- MicroRNA in disease regulation 61
- Cancer-related molecular mechanisms research 18
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- Extracellular vesicles in disease 29
- Viral Infectious Diseases and Gene Expression in Insects 25
- RNA Interference and Gene Delivery 21
- Circular RNAs in diseases 20
- Bone Metabolism and Diseases 13
- CRISPR and Genetic Engineering 10
- Co-authors
- Johannes Grillari (73 shared papers)Nicole Borth (26 shared papers)Susanna Skalicky (23 shared papers)Regina Grillari‐Voglauer (10 shared papers)Sylvia Weilner (4 shared papers)Vaibhav Jadhav (10 shared papers)Ursula Heilmeier (3 shared papers)Juan A. Hernández Bort (8 shared papers)
- Journals
- Journal of Biotechnology (13 papers)International Journal of Molecular Sciences (9 papers)Scientific Reports (7 papers)Aging Cell (6 papers)Bone (6 papers)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Matthias Hackl
135 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 1.5k
- Aging 89
- Molecular Biology 2.7k
- Orthopedics and Sports Medicine 198
- Genetics 412
Countries citing papers authored by Matthias Hackl
This map shows the geographic impact of Matthias Hackl'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 Matthias Hackl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Hackl more than expected).
Fields of papers citing papers by Matthias Hackl
This network shows the impact of papers produced by Matthias Hackl. 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 Matthias Hackl. The network helps show where Matthias Hackl may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Hackl, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 323 | |
| 2 | 2018 | 200 | |
| 3 | 2015 | 172 | |
| 4 | 2016 | 166 | |
| 5 | 2015 | 140 | |
| 6 | 2010 | 125 | |
| 7 | 2016 | 122 | |
| 8 | 2016 | 119 | |
| 9 | 2013 | 104 | |
| 10 | 2011 | 92 | |
| 11 | 2011 | 88 | |
| 12 | 2011 | 76 | |
| 13 | 2014 | 76 | |
| 14 | 2012 | 75 | |
| 15 | 2013 | 71 | |
| 16 | 2018 | 66 | |
| 17 | 2014 | 65 | |
| 18 | 2013 | 63 | |
| 19 | 2018 | 61 | |
| 20 | 2019 | 61 |
About Matthias Hackl
Matthias Hackl is a scholar working on Cancer Research, Molecular Biology, Orthopedics and Sports Medicine, Rheumatology and Physiology, having authored 151 papers that have together received 4.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (61 papers), Extracellular vesicles in disease (29 papers), Viral Infectious Diseases and Gene Expression in Insects (25 papers), RNA Interference and Gene Delivery (21 papers), Circular RNAs in diseases (20 papers), Cancer-related molecular mechanisms research (18 papers), Bone Metabolism and Diseases (13 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Cancer Research (1.5k citations), Aging (89 citations), Molecular Biology (2.7k citations), Orthopedics and Sports Medicine (198 citations) and Genetics (412 citations). Matthias Hackl has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Johannes Grillari, Nicole Borth, Susanna Skalicky, Regina Grillari‐Voglauer, Sylvia Weilner, Vaibhav Jadhav, Ursula Heilmeier, Juan A. Hernández Bort, Marcel Scheideler and Roland Kocijan. Their work appears in journals such as Journal of Biotechnology, International Journal of Molecular Sciences, Scientific Reports, Aging Cell and Bone.
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.