Markus Schosserer
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Frailty in Older Adults
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- DNA Repair Mechanisms 3
- Extracellular vesicles in disease 3
- Physiology 18
- Telomeres, Telomerase, and Senescence 14
- Co-authors
- Johannes Grillari (30 shared papers)Michael Breitenbach (1 shared paper)Marcel Scheideler (6 shared papers)Флориан Грубер (8 shared papers)Lucia Terlecki‐Ζaniewicz (7 shared papers)Ingo Lämmermann (6 shared papers)Hanna Dellago (6 shared papers)Vera Pils (4 shared papers)
- Journals
- Aging Cell (3 papers)Mechanisms of Ageing and Development (3 papers)eLife (2 papers)Aging (2 papers)Biotechnology Journal (2 papers)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Markus Schosserer
42 papers receiving 1.6k citations
Markus Schosserer's Hit Papers
Peers
Comparison fields: 5 of 117
- Aging 100
- Geriatrics and Gerontology 119
- Physiology 467
- Cancer Research 240
- Dermatology 143
Countries citing papers authored by Markus Schosserer
This map shows the geographic impact of Markus Schosserer'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 Markus Schosserer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schosserer more than expected).
Fields of papers citing papers by Markus Schosserer
This network shows the impact of papers produced by Markus Schosserer. 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 Markus Schosserer. The network helps show where Markus Schosserer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schosserer, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases Hit paper breakdown → | 2018 | 360 |
| 2 | 2017 | 191 | |
| 3 | 2018 | 190 | |
| 4 | 2013 | 98 | |
| 5 | 2017 | 81 | |
| 6 | 2020 | 78 | |
| 7 | 2018 | 56 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2021 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2020 | 26 | |
| 15 | 2024 | 25 | |
| 16 | 2016 | 25 | |
| 17 | 2018 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2020 | 19 |
About Markus Schosserer
Markus Schosserer is a scholar working on Molecular Biology, Physiology, Aging, Dermatology and Cancer Research, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (14 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), RNA modifications and cancer (6 papers), Skin Protection and Aging (5 papers), RNA Research and Splicing (5 papers), Circadian rhythm and melatonin (4 papers), DNA Repair Mechanisms (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Aging (100 citations), Geriatrics and Gerontology (119 citations), Physiology (467 citations), Cancer Research (240 citations) and Dermatology (143 citations). Markus Schosserer has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Johannes Grillari, Michael Breitenbach, Marcel Scheideler, Флориан Грубер, Lucia Terlecki‐Ζaniewicz, Ingo Lämmermann, Hanna Dellago, Vera Pils, Soner Doğan and Matthias Hackl. Their work appears in journals such as Aging Cell, Mechanisms of Ageing and Development, eLife, Aging and Biotechnology Journal.
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.