Maša Roller
Impact in
- Biotechnology top 10%
- Marine Sponges and Natural Products
Papers in
-
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 4
- Machine Learning in Bioinformatics 1
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Paul Flicek (3 shared papers)Kristian Vlahoviček (2 shared papers)Duncan T. Odom (3 shared papers)Sarah J. Aitken (1 shared paper)Elissavet Kentepozidou (1 shared paper)Christine Feig (1 shared paper)Klara Stefflova (1 shared paper)Ximena Ibarra-Soria (1 shared paper)
- Journals
- Genome biology (3 papers)Mammalian Genome (3 papers)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)Communications Biology (1 paper)
- Partner nations
- United KingdomUnited StatesCroatia
In The Last Decade
Maša Roller
14 papers receiving 350 citations
Peers
Comparison fields: 5 of 65
- Biotechnology 61
- Paleontology 34
- Molecular Biology 254
- Genetics 63
- Plant Science 75
Countries citing papers authored by Maša Roller
This map shows the geographic impact of Maša Roller'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 Maša Roller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maša Roller more than expected).
Fields of papers citing papers by Maša Roller
This network shows the impact of papers produced by Maša Roller. 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 Maša Roller. The network helps show where Maša Roller may publish in the future.
Co-authors
The 25 scholars most cited alongside Maša Roller, 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 | 2020 | 79 | |
| 2 | 2020 | 73 | |
| 3 | 2010 | 40 | |
| 4 | 2021 | 39 | |
| 5 | 2013 | 39 | |
| 6 | 2024 | 34 | |
| 7 | 2024 | 10 | |
| 8 | 2011 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 1995 | 7 | |
| 11 | Encyclopedia of the mouse genome V. Mouse chromosome 11. | 1996 | 5 |
| 12 | 1995 | 4 | |
| 13 | 1995 | 3 | |
| 14 | 2012 | 2 | |
| 15 | 2024 | 0 |
About Maša Roller
Maša Roller is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Genetics and Biotechnology, having authored 15 papers that have together received 353 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (2 papers), Marine Sponges and Natural Products (2 papers), Thyroid Disorders and Treatments (1 paper), Coral and Marine Ecosystems Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biotechnology (61 citations), Paleontology (34 citations), Molecular Biology (254 citations), Genetics (63 citations) and Plant Science (75 citations). Maša Roller has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include Paul Flicek, Kristian Vlahoviček, Duncan T. Odom, Sarah J. Aitken, Elissavet Kentepozidou, Christine Feig, Klara Stefflova, Ximena Ibarra-Soria, Helena Ćetković and Tina Perica. Their work appears in journals such as Genome biology, Mammalian Genome, Molecular Biology and Evolution, Nature Communications and Communications 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.