Matthias Hackl
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
-
- Bone health and osteoporosis research
Papers in
-
- MicroRNA in disease regulation 53
-
- Bone health and osteoporosis research 23
- Co-authors
- Johannes Grillari (75 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 110
- Cancer Research 1.1k
- Orthopedics and Sports Medicine 436
- Aging 80
- Molecular Biology 2k
- Physiology 385
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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 322 | |
| 2 | 2018 | 200 | |
| 3 | 2015 | 171 | |
| 4 | 2016 | 168 | |
| 5 | 2015 | 142 | |
| 6 | 2010 | 125 | |
| 7 | 2016 | 123 | |
| 8 | 2016 | 119 | |
| 9 | 2013 | 105 | |
| 10 | 2011 | 92 | |
| 11 | 2011 | 88 | |
| 12 | 2014 | 77 | |
| 13 | 2011 | 76 | |
| 14 | 2012 | 76 | |
| 15 | 2013 | 71 | |
| 16 | 2018 | 67 | |
| 17 | 2014 | 65 | |
| 18 | 2013 | 63 | |
| 19 | 2018 | 62 | |
| 20 | 2019 | 61 |
About Matthias Hackl
Matthias Hackl is a scholar working on Cancer Research, Orthopedics and Sports Medicine, Molecular Biology, Nephrology and Physiology, having authored 152 papers that have together received 4.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (53 papers), Viral Infectious Diseases and Gene Expression in Insects (27 papers), Bone health and osteoporosis research (23 papers), Extracellular vesicles in disease (21 papers), Bone Metabolism and Diseases (15 papers), Telomeres, Telomerase, and Senescence (5 papers), Acute Kidney Injury Research (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Orthopedics and Sports Medicine (436 citations), Aging (80 citations), Molecular Biology (2k citations) and Physiology (385 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.