Markus Glaß
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- RNA regulation and disease
Papers in
-
- RNA modifications and cancer 14
- RNA Research and Splicing 12
- Wnt/β-catenin signaling in development and cancer 3
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 4
- Co-authors
- Stefan Hüttelmaier (23 shared papers)Marcell Lederer (10 shared papers)Nadine Bley (10 shared papers)Simon Müller (10 shared papers)Tommy Fuchs (7 shared papers)Jacob Haase (4 shared papers)Danny Misiak (7 shared papers)Bianca Busch (4 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Cancers (5 papers)International Journal of Molecular Sciences (2 papers)Scientific Reports (1 paper)iScience (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Markus Glaß
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 538
- Molecular Biology 972
- Cell Biology 91
- Oncology 99
- Immunology 61
Countries citing papers authored by Markus Glaß
This map shows the geographic impact of Markus Glaß'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 Glaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Glaß more than expected).
Fields of papers citing papers by Markus Glaß
This network shows the impact of papers produced by Markus Glaß. 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 Glaß. The network helps show where Markus Glaß may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Glaß, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 293 | |
| 2 | 2012 | 124 | |
| 3 | 2020 | 111 | |
| 4 | 2018 | 106 | |
| 5 | 2014 | 104 | |
| 6 | 2016 | 92 | |
| 7 | 2013 | 35 | |
| 8 | 2021 | 34 | |
| 9 | 2020 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2021 | 27 | |
| 12 | 2012 | 27 | |
| 13 | 2020 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2023 | 19 | |
| 18 | 2021 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2024 | 11 |
About Markus Glaß
Markus Glaß is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Immunology and Oncology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (12 papers), Skin and Cellular Biology Research (4 papers), MicroRNA in disease regulation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cancer Research (538 citations), Molecular Biology (972 citations), Cell Biology (91 citations), Oncology (99 citations) and Immunology (61 citations). Markus Glaß has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Stefan Hüttelmaier, Marcell Lederer, Nadine Bley, Simon Müller, Tommy Fuchs, Jacob Haase, Danny Misiak, Bianca Busch, Claudia Reinke and Birgit Möller. Their work appears in journals such as Nucleic Acids Research, Cancers, International Journal of Molecular Sciences, Scientific Reports and iScience.
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.